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ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
EUFrameworkProgramforResearchandInnovationactions(H2020LCE-21-2015)
ProjectNr:691287
GuidingEuropeanPolicytowardalow-carboneconomy.ModellingsustainableEnergysystem
DevelopmentunderEnvironmentalAndSocioeconomicconstraints
Deliverable2.3
Version3.0.0
Duedateofdeliverable: 31/08/2017 Actualsubmissiondate: 30/08/2017
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DisclaimerofwarrantiesandlimitationofliabilitiesThisdocumenthasbeenpreparedbyMEDEASprojectpartnersasanaccountofworkcarriedoutwithintheframeworkoftheEC-GAcontractno691287.
NeitherProjectCoordinator,noranysignatorypartyofMEDEASProjectConsortiumAgreement,noranypersonactingonbehalfofanyofthem:
(a) makesanywarrantyorrepresentationwhatsoever,expressorimplied,
(i). withrespecttotheuseofanyinformation,apparatus,method,process,orsimilar
item disclosed in this document, including merchantability and fitness for a
particularpurpose,or
(ii). that such use does not infringe on or interfere with privately owned rights,
includinganyparty'sintellectualproperty,or
(iii). thatthisdocumentissuitabletoanyparticularuser'scircumstance;or
(b) assumes responsibility for any damages or other liability whatsoever (including any
consequential damages, even if Project Coordinator or any representativeof a signatory
partyoftheMEDEASProjectConsortiumAgreement,hasbeenadvisedofthepossibilityof
suchdamages)resultingfromyourselectionoruseofthisdocumentorany information,
apparatus,method,process,orsimilaritemdisclosedinthisdocument.
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DocumentinfosheetLeadBeneficiary:UVa
WP:Workpackage2:DataCollection
Task:Database
Authors:
UVA:JaimeNieto,PaulaRodrigo,FernandoFrechoso,CarlosdeCastro,IñigoCapellán-Pérez,OscarCarpintero,IgnaciodeBlas,MargaritaMediavilla,SantiagoCáceres,LuisJavierMiguel
CRES:Myrto Theofilidi, John Andriopoulos, Charis Gkevrekis, George Koras, Panos Stratis, JohnVlachos
Disseminationlevel:Public
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TableofcontentsDISCLAIMEROFWARRANTIESANDLIMITATIONOFLIABILITIES..................................................1
DOCUMENTINFOSHEET.............................................................................................................2
TABLEOFCONTENTS...................................................................................................................3
SCOPEOFTHEDOCUMENT..........................................................................................................5
LISTOFABBREVIATIONSANDACRONYMS..................................................................................6
EXECUTIVESUMMARY................................................................................................................7
1.INTRODUCTION.......................................................................................................................9
2.METADAANDDATACOLLECTION..........................................................................................112.1REGION....................................................................................................................................................................................122.2PAV.........................................................................................................................................................................................122.3ID..............................................................................................................................................................................................172.4TOPIC.......................................................................................................................................................................................192.5TYPEOFVARIABLE...............................................................................................................................................................252.6UNITS......................................................................................................................................................................................252.6SOURCES,LINKANDLICENSE.............................................................................................................................................282.7LASTSOURCEUPDATE,DATECOLLECTIONANDDATAPERIOD....................................................................................302.8RELIABILITYINDEX...............................................................................................................................................................312.9COMMENTSANDTYPEOFVALUE.......................................................................................................................................31
3.WEBDATABASEMANAGEMENTSYSTEM(CRES)....................................................................333.1WORKPLAN.............................................................................................................................................................................333.2DATABASEAPPLICATIONDESCRIPTION...................................................................................................................................343.2.1Tablesdescription...............................................................................................................................................................353.3MIDDLELAYERDESCRIPTION..................................................................................................................................................383.3.4PublicFunctionality............................................................................................................................................................383.3.5AdministratorFunctionality...........................................................................................................................................393.4FRONTENDDESCRIPTION........................................................................................................................................................403.4.1IndexPage.............................................................................................................................................................................403.4.2PublicSection......................................................................................................................................................................413.4.3AdministratorSection.....................................................................................................................................................443.4.5DataUpdateProcedure..................................................................................................................................................493.4.6SuperUserRole...................................................................................................................................................................493.5TECHNICALDESCRIPTION........................................................................................................................................................503.5.1Statisticsofsourcecodefiles........................................................................................................................................52
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ANNEXI.WORLDMEDEASMETADATA.....................................................................................54
ANNEXII.EUROPEMEDEASMETADATA..................................................................................109
ANNEXIII.AUSTRIAMEDEASMETADATA................................................................................115
ANNEXIV.BULGARIAMEDEASMETADATA.............................................................................122
ANNEXV.DATABASESCHEMADEFINITION.............................................................................129
ANNEXVI.SOURCECODEFILESTATISTICS...............................................................................135
REFERENCES............................................................................................................................136
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ThisdocumentisDeliverable2.3ofWorkPackage2(Datacollection)inMEDEASproject.MEDEASwill develop fourmodels:World, Europe, Austria and Bulgaria, thus input data is necessary toproperlyrunthefourmodels.Suchcollecteddata,asmodelinput,mustbeaccessibletotheuserin order to use or modify them. In this document, MEDEAS database is described, regardingdifferent features. First, the design and structure of the database is described, both for thedatabase itselfand its correspondingmetadata.Secondly,datacollectionandcharacteristics foreachtopicinthedatabaseareexplained.Finally,wedescribethestructureandfunctionalitiesforusersandmanagersoftheMEDEASDatabaseManagementSystem(DBMS).
Scopeofthedocument
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ListofabbreviationsandacronymsBEV–BatteryElectricVehicle
CHP–CombinedHeatandPower
CSP–ConcentratedSolarPower
CTL–CoalToLiquids
DBMS-DatabasemanagementSystem
DCMI-DublinCoreMetadataInitiative
EROI–EnergyReturnOfInvestment
GDP–GrossDomesticProduct
GHG–GreenHouseGases
GTL–GasToLiquids
GVA–GrossValueAdded
HEV–HybridElectricVehicle
IEA–InternationalEnergyAgency
IOA–Input-OutputAnalysis
IOT–Input-OutputTables
LDV–LightDutyVehicles
NGV–NaturalGasVehicle
NR–NaturalResources
PAV–Partiallyaggregatedvariable
RES–RenewableEnergySources
TPES–TotalPrimaryEnergySupply
WIOD-WorldInput-OutputDatabase
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ExecutivesummaryMEDEASdatabaseisakeyandstrategicpartoftheproject,notonlyforthemodelimplementationanddesignbut also for theoverall project. Tohaveenoughdata in a flexibledatabase is a keystone foundation also for evidence-based impact of Renewable Energy Sources (RES) transitionevaluation and to construct a solid narrative for policy implementation in the RES transition inEurope, which is one of the main outcomes of MEDEAS. The database elaboration and theirarchitecturemustbereliable,transparentandpublicallowingacontinuousupdateofallthedataconstitutingtheeconomicandenergeticframework.Suchdatabaseshouldalsobemanageableinterms of shared competences between the Regional and local level. Therefore, this deliverabledescribestheMEDEASdatabaseanditsDatabaseManagementSystem(DBMS).MEDEASdatabaseconsists of data collected from different sources and information associated with this data asmetadata.TheDBMSistheapplicationconstructedtomanage,viewanduseMEDEASdatabase.
Mostofthedataareannualtimeseriesthatcorrespondtothedifferentmodelmodulessuchassocioeconomic,environmental,energy,transportormaterialresourcesdatausedbytheMEDEASmodel.Themain‘brick’onwhichthestructureofthedatabaseisbasedisthePartiallyAggregatedVariable (PAV) and are organised by topics and disaggregated in a number of variables underdifferentdisaggregationlevels.PAVs,disaggregationlevelsandvariablesgeneratethetotalentriesinthedatabases.Thereare158PAVs,161disaggregationlevelsand3188variables.NotallPAVsaredisaggregatedinthesameway(actuallysomeofthemarenotatall)butthiscausesthetotalnumberofentriestoincreaseupto3507variablesinMEDEASWorlddatabasestartingfromonly158PAVs.Europe,AustriaandBulgariadatabasesaccountswith5755additionalentries.Overall,MEDEASdatabasehas9262entries.Annex I-IVsummarises information, sourcesandcommentsonPAVs.
Thewebdatabasemanagementsystem(DBMS)allowspartnerstostore,retrieveandmanagethedatacollected,elaboratedandgeneratedwithinMEDEASproject.TheDBMShasbeendesigned,implementedandinstalledbyCRES.
Thedesignanddevelopmentofthewholeapplicationconsistsofthreecomponents,namelythefirst layer, which is the database, the middle layer, which refers to the functionality of themanagementsystemandthefrontend,whichistheuserinterface.
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Thedesignanddevelopmentofthedatabasewasbasedonthe“entity-attribute–value”model.Within this context, the entity is one among "World", "EU", “Austria” or “Bulgaria” and theattributeisthespecificentry.Inthismodel,theentriesareorganizedinatree,whereasprovisionsaremade,sothatthehistoryofchangesforeachentryisstoredandreadilyavailable.Moreover,foreachentrytherelevantmetadataarestored.
TheDBMSselectedtodevelopthisapplicationwasMariaDB,aforkoftheMySQLthatintendstomaintain high compatibility with MySQL and remain free under the GNU GPL. In terms offunctionality,aJ2EElibrary(.jarfiles)hasbeendesignedanddevelopedtoprovidetheexpectedfunctionalities, i.e., storageof thevalueofaspecificentry; retrievalofvalueofaspecificentry;creationofanewentry,andretrievalofdataneededforreportgeneration,forthispurposeaJavaAPI has been designed and implemented that, given one ormore entries and somemetadata,retrievestherelevantdata.
Finally,wedesignedanddevelopedawebapplicationthatexposesthelayer2,functionalitytothewebuser,makingMEDEASdatabaseaccessiblethroughanauthenticationsystemwithpassword.Emphasishasbeengiveninthesimplicityandrobustnessoftheapplication.
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1.IntroductionTheglobalaimofMEDEASprojectistoprovidepolicymakersandstakeholderswithanewtool,tobetter assess the impacts and limitations of the EU energy production/consumption systemtransitiontoalow-carbonsustainablesocio-economy.Forthispurpose,MEDEAS(World,Europe,Austria and Bulgaria) is a simulation model based on system dynamics that allows assessingcomplexityanddynamic interrelationof relevantvariables.Thesemodels (one foreachregionallevel) need to be fed bymultidimensional data, regarding the differentmodules in themodel.Althoughithasbeentakenintoconsiderationothermodels’needs,thereferencelistofmodulesused for collecting data is that ofMEDEASWorld. Thesemodules are the following: i/ Energyinfrastructures, ii/ Economy and Population, iii/ Materials, iv/ Climate model, v/ Land use, vi/Socialandenvironmentalimpactsindicators,vii/Energy(NRandRESavailability).ThesemodulesandtheirfundamentalintertwinesareshowninFigure1.
Figure1.OverviewofMEDEASmodelmodulesandtheirfundamentalintertwines.
MEDEASdatabasehastwoobjectives.ThefirstistofeedthemodelsofMEDEAS.Thesecondistoprovide the user an easy, transparent tool in order to check our models and modify them.Accomplishing these objectives require not only a user-friendly DBMS, but a clear design andproper informationof thedataused. Thus, additionally to data collection,metadatahavebeen
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collected foreachentry.Annex I-IVsummarizesmetadata forall regional levels (World,Europe,AustriaandBulgaria)andentries.PartiallyAggregatedVariables(PAVs),disaggregationlevelsandvariablesgeneratethetotalentriesinthedatabasedelivered.ThesePAVsareorganisedbytopicsanddisaggregatedinanumberofvariablesunderdifferentdisaggregationlevels.
A large database collecting information about the historical trends or values of the PAVs,disaggregation levelsandvariablesused in themodel isnecessary.Moreover, theevaluationofthe results requires the assumption of values for these entries, which can change amongscenarios. Thus, a key task inMEDEAS is collecting andorganizing this data. In addition, as theproject intends to be open to changes by the public, this information must be transparent,accessibleandeasytomodify.Thus,theconstructionofMEDEASdatabaseisthemainobjectiveofthisdeliverable
The construction of the database has been split in two main sub-tasks: Data collection andDatabase Management System (DBMS). In order to coordinate the work, UVa designed andcollectedthedatafortheDatabase inspreadsheetsfiles,then,thisworkwasdeliveredtoCRES,whichusedittoconstructtheDBMS.ThisDeliverabledescribestheprocessfollowedtoconstructthe database, it is structured in two sections, one for each sub-task. Section 2 describes theprocess of database design and data collection. Section 3 describes the structure andfunctionalitiesoftheDBMS.
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2.MetadaandDatacollectionData collection encompasses three different steps. In the first step, data collected is explainedaccording to topics. In a second step, the metadata of the database is provided, it givesinformation about the data and its sources. Finally, the data in the original source may havedifferentunitsthanthoseused inthemodels,sosometimesachangeofunits isnecessary.ThissectionexplainstheorganizationofMEDEASdatabaseandthedetailsofdatacollection,includingitsmetadata.World,Europe,AustriaandBulgariametadatainformationcanbeseeninAnnexI-IV
DatahavebeencollectedinspreadsheetsparticularlydesignedwiththeobjectivetofacilitatethetransfertotheDBMSandmakeiteasytobemanagedbyusers.Inaddition,metadatahavealsobeen specificallydesigned toprovide theuser importantanduseful informationabout thedatausedbyMEDEAS.Table1showsmetadatacategories.
Table1.CategoriesinmetadatafromMEDEASdatabase
Category Information
Region Regionallevel
PAV NameofPAV.
Id Codeofidentification.
Topic Thedifferenttopicsofdatabase.
Typeofvariable Exogenousorendogenous
Units Unitsofeachentry.
Source Thesourceofdata.
Link Linktotheweb’sdatasource.
License Publicdomain/Privatedomain.
Lastsourceupdate Thedatewhentheoriginaldatasourceupdateditsdataforthelasttime.
Datecollection Thedatewhendatawascollectedfromthesources.
Dataperiod Timeperiodforwhichdatawascollectedorcalculatedandtowhichthedatarefer
Reliability Reliabilityindexaccordingtodifferentcriteria.
Comments Clarificationsanddescriptionnecessarytoproperlyunderstandtheentries.
Typeofvalue Historicaldataseries,parameter,constant,scenarioparameter.
Next,wewill describeall the categories inmetadata. In thiswaywe showwhichdata is in thedatabase,howisrelatedwiththeMEDEASmodelsandhowiscollected.
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2.1RegionMEDEASdatabaseisstructuredin3differentregionallevels:World,EuropeandCountry(AustriaandBulgaria).AlthoughmodelsforEurope,AustriaandBulgariahavenotbeendevelopedyet,itsfutureneedshavebeentakenintoconsideration.
ThisDeliverablemainlydescribestheWorldMEDEASdatabase;thedataforotherregionallevels(Europe,AustriaandBulgaria)hasthesamecharacteristicsthantheWorldlevel,butalsoincludesdata on trade with other regions. For the World regional level there are no commercialrelationshipsbecauseitisaclosedsystemfromthepointofviewoftrade.
Europe, Austria and Bulgaria databases accounts with 5755 additional entries to the Worlddatabase.Thus,MEDEASdatabases(atthreegeographicallevels)haveintotal9262entries.
AsoneoftheMEDEASdatabase’sobjectives isfeedingthemodels,Europe,AustriaandBulgarialevel will probably be extended in the future throughout the DBMS. Currently such threegeographical domains only have topics: Socioeconomic, Resources-Economy, Land Use, Energyconsumptionbysectors,CommerceandEnergy(energytrade).Thereare1911entriesforEurope,and1922forAustriaandBulgaria,withthesamestructure(formetadatafields)asinWorldlevel.
2.2PAVOriginallytheWorldMEDEASdatabasesentinDecember2016contained2590entries.Inthisfinalversion, 782 of these entries have been eliminated. Some because they are outputs that themodelobtainsandothersarenotusedinthemodel.Ofthe1808remainingentries,thedataoritsmetadata have beenmodified in a large number of them.As a result, the newWorldMEDEASdatabasehas3188variables,plus158PAVsand161disaggregationlevels.Thus,intotal,MEDEASWorlddatabaseaccounts3507entries.Table2showsthelistofPAVsinWorldMEDEASdatabase.Asmentionedbefore, thedatabases ‘entries’ column collects three types of information: PAVs,disaggregationlevelsandvariables;thenumberofeachofthemforeachPAVcanbeseenintable2.
Table2.ListofPAVsinMEDEASdatabasewiththeirassignedidentificationcodeandgroupedbytopics
Topic id PAV PAV+disaggregationlevels+variables
Socioeconomic 1.00.00 GDP(Finaldemand) 1+0+35
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Topic id PAV PAV+disaggregationlevels+variables
Socioeconomic 2.00.00 Production 1+0+35Socioeconomic 3.00.00 Inequalityindicators 1+0+2Socioeconomic 4.00.00 Income 1+0+2Socioeconomic 5.00.00 Population 1+0+0Socioeconomic 6.00.00 Lifeexpectancyatbirth 1+0+0Socioeconomic 7.00.00 Urbanpopulation 1+0+0Socioeconomic 8.00.00 Ruralpopulation 1+0+0Socioeconomic 9.00.00 Unemploymentrate 1+0+0Socioeconomic 10.00.00 Energydependency 1+0+0Socioeconomic 11.00.00 Technicalcoefficients 1+35+1225
Resources-Economy 12.00.00 Finalenergyconsumptionpercapita 1+0+0Resources-Economy 13.00.00 Waterconsumption 1+0+3Resources-Economy 14.00.00 Waterintensity 1+3+18Resources-Economy 15.00.00 Materialconsumption 1+0+0Resources-Economy 16.00.00 Primaryenergyintensity 1+4+144Resources-Economy 17.00.00 Finalenergyintensity 1+5+180
Landuse 18.00.00 Foodland 1+0+0Landuse 19.00.00 Forestland 1+0+0Landuse 20.00.00 Biodiversityprotectionland 1+0+0Landuse 21.00.00 Urbanlandarea 1+0+0Landuse 22.00.00 Biofuelandbioelectricityland 1+0+0Landuse 23.00.00 Arableandcropland,%totallandarea 1+0+0Landuse 24.00.00 Pasturesandmeadows,%totallandarea 1+0+0Landuse 25.00.00 Forest,%totallandarea 1+0+0Landuse 26.00.00 Otherland,%totallandarea 1+0+0
Energyconsumptionbysectors
27.00.00 FinalEnergyConsumption(FEC) 1+5+180
Materials 28.00.00 Mineralproduction 1+0+20Materials 29.00.00 KgmaterialpernewMWinstalled(construction
phase)1+7+406
Materials 30.00.00 KgmaterialpernewMWinstalled(Operationandmaintenance)
1+4+68
Materials 31.00.00 Initialenergyconsumptionperunitofmaterialconsumption
1+2+116
Materials 32.00.00 Totalreserves 1+0+58Materials 33.00.00 Totalresources 1+0+58
EmissionandClimate 34.00.00 CO2emissionsfromdifferentactivities 1+0+6EmissionandClimate 35.00.00 Nitrousoxideemissions 1+0+0EmissionandClimate 36.00.00 Increaseintotalradiativeforcinginrelationtopre-
industriallevels1+0+0
EmissionandClimate 37.00.00 CH4emissions 1+0+0EmissionandClimate 38.00.00 CO2concentrationlevels 1+0+0
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Topic id PAV PAV+disaggregationlevels+variables
EmissionandClimate 39.00.00 Globalmeantemperatureincrease 1+0+0EmissionandClimate 40.00.00 GHGemissions 1+0+15
Electricitytransformation 41.00.00 Hydroelectricitypumpedstoragecapacity 1+0+0Electricitytransformation 42.00.00 Hydroelectricitypumpedstorageenergyproduction 1+0+0Electricitygenerationfrom
RESvariables43.00.00 InstalledcapacityofelectricalRES 1+0+8
ElectricitygenerationfromRESvariables
44.00.00 ElectricitycostfromRES 1+0+7
ElectricitygenerationfromRESvariables
45.00.00 RESlifetime 1+0+9
Energyhistoricaldata 46.00.00 PercentageCHPplantsvstotalheatoutput 1+0+0Energyhistoricaldata 47.00.00 PercentagegasinfossilCHPplants 1+0+0Energyhistoricaldata 48.00.00 PercentagesolidsinfossilCHPplants 1+0+0Energyhistoricaldata 49.00.00 PercentageliquidsinfossilCHPplants 1+0+0Energyhistoricaldata 50.00.00 Extractionresources 1+0+4Energyhistoricaldata 51.00.00 Shareresourcesbysector 1+0+2Energyhistoricaldata 52.00.00 Alternativetransport 1+0+2Energyhistoricaldata 53.00.00 AnnualgenerationliquidsRES 1+0+1Energyhistoricaldata 54.00.00 CapacityinstalledRESfornon-commercialheat 1+0+3Energyhistoricaldata 55.00.00 CapacityinstalledRESforcommercialheat 1+0+3Energyhistoricaldata 56.00.00 NucleargenerationTWh 1+0+0Energyhistoricaldata 57.00.00 Efficiencygasforelectricity 1+0+0Energyhistoricaldata 58.00.00 Electricityconsumption 1+0+0
Energyhistoricaldata 59.00.00 Sharegasvs(coal+gas)heat 1+0+0Energyhistoricaldata 60.00.00 Nonenergyuse 1+0+4Energyhistoricaldata 61.00.00 Losses 1+0+3Energyhistoricaldata 62.00.00 Transformationlosses 1+0+3Energyhistoricaldata 63.00.00 TPESprimarysolidsbiofuels 1+0+0Energyhistoricaldata 64.00.00 Waste 1+0+0Energyhistoricaldata 65.00.00 Efficiencies 1+0+9Energyhistoricaldata 66.00.00 LossesinCharcoalplants 1+0+0Energyhistoricaldata 67.00.00 Peat 1+0+0Energyhistoricaldata 68.00.00 Biogases 1+0+0Historicconstants 69.00.00 BEV/HEVpastsharegrowth 1+0+0Historicconstants 70.00.00 NGVpastsharegrowth 1+0+0Historicconstants 71.00.00 Biofuelspastgrowth 1+0+0Historicconstants 72.00.00 HistoricalgrowthCTL 1+0+0Historicconstants 73.00.00 HistoricalgrowthGTL 1+0+0Historicconstants 74.00.00 Hydropastcapacitygrowth 1+0+0Historicconstants 75.00.00 Geothermalpastcapacitygrowth 1+0+0Historicconstants 76.00.00 SolidbioE-elec 1+0+0
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Topic id PAV PAV+disaggregationlevels+variables
Historicconstants 77.00.00 Oceanicpastcapacitygrowth 1+0+0Historicconstants 78.00.00 Windonshorepastcapacitygrowth 1+0+0Historicconstants 79.00.00 Windoffshorepastcapacitygrowth 1+0+0Historicconstants 80.00.00 SolarPVpastcapacitygrowth 1+0+0Historicconstants 81.00.00 CSPpastcapacitygrowth 1+0+0Historicconstants 82.00.00 Cumulatedconventionaloilextractionto1995 1+0+0Historicconstants 83.00.00 Cumulatedunconventionaloilextractionto1995 1+0+0Historicconstants 84.00.00 Cumulatedconvgasextractionto1995 1+0+0Historicconstants 85.00.00 Cumulatedunconventionalgasextractionto1995 1+0+0Historicconstants 86.00.00 Cumulatedcoalextractionto1995 1+0+0Historicconstants 87.00.00 Cumulateduraniumextractionto1995 1+0+0Historicconstants 88.00.00 Pastsolargrowthforheat-commercial 1+0+0Historicconstants 89.00.00 Pastgeothermalgrowthforheat-commercial 1+0+0Historicconstants 90.00.00 PastsolidbioE-heat-commercial 1+0+0Historicconstants 91.00.00 Pastsolargrowthforheat-no-commercial 1+0+0Historicconstants 92.00.00 Pastgeothermalgrowthforheat-no-commercial 1+0+0Historicconstants 93.00.00 PastsolidbioE-heat-no-commercial 1+0+0Historicconstants 94.00.00 Cumulativeemissions1751-1995 1+0+0
Renewable&NuclearEnergyParameters
95.00.00 Powerdensity 1+0+6
Renewable&NuclearEnergyParameters
96.00.00 Lifetime 1+0+12
Renewable&NuclearEnergyParameters
97.00.00 Capacityfactorinitial 1+0+12
Renewable&NuclearEnergyParameters
98.00.00 Investmentcost 1+0+9
Renewable&NuclearEnergyParameters
99.00.00 Timeplanification 1+0+9
Renewable&NuclearEnergyParameters
100.00.00 Timeconstruction 1+0+9
Renewable&NuclearEnergyParameters
101.00.00 MinCp(CoefficientofPower) 1+0+9
Renewable&NuclearEnergyParameters
102.00.00 EROIinitial 1+0+6
Renewable&NuclearEnergyParameters
103.00.00 EmploymentfactorsRES 1+2+22
Otherparameters 104.00.00 Energysharesbysector 1+0+2Otherparameters 105.00.00 Efficiencies 1+0+12Otherparameters 106.00.00 Energylosses 1+0+2Otherparameters 107.00.00 Bioenergy 1+0+6Otherparameters 108.00.00 LifetimeRESThermal 1+0+0Otherparameters 109.00.00 Alternativetransport 1+0+2Otherparameters 110.00.00 Gridreinforcementcostsref 1+0+0
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Topic id PAV PAV+disaggregationlevels+variables
Otherparameters 111.00.00 Oilrefinerygainsshare 1+0+0Otherparameters 112.00.00 Tpefpcthresholdhighdevelopment 1+0+0Otherparameters 113.00.00 TPEDacceptablestandardliving 1+0+0Otherparameters 114.00.00 Propheatdistributionlosses 1+0+0Otherparameters 115.00.00 Waste 1+0+8Otherparameters 116.00.00 Biogas 1+0+8Otherparameters 117.00.00 Climateparameters 1+0+11Otherparameters 118.00.00 Sharetraditionalbiomassvssolidsinhouseholds 1+0+0Otherparameters 119.00.00 Efficiencysolarpanelsforheat 1+0+0Otherparameters 120.00.00 Lossessolarforheat 1+0+0Otherparameters 121.00.00 Efficiencygeothermalforheat 1+0+0Otherparameters 122.00.00 EVbatteries 1+0+4Otherparameters 123.00.00 Pumpedhydrostorage(PHS) 1+0+3Otherparameters 124.00.00 Materials 1+0+2Otherparameters 125.00.00 EROINREfuels 1+0+6Otherparameters 126.00.00 Heatdemand 1+2+7Otherparameters 127.00.00 LifetimeCTL 1+0+0Otherparameters 128.00.00 LifetimeGTL 1+0+0
Transport 129.00.00 Householdvehicles 1+2+6Transport 130.00.00 Commercialvehicles 1+4+11Transport 131.00.00 Shareofhouseholdvehicles 1+2+6Transport 132.00.00 Shareofcommercialvehicles 1+4+12Transport 133.00.00 EnergyusedinHouseholdsvehicles 1+2+6Transport 134.00.00 Energyusedincommercialvehicles 1+4+13Transport 135.00.00 SavingratiosofalternativeHOUSEHOLDSvehicles
relativetoliquidsvehicles1+2+6
Transport 136.00.00 SavingratiosofalternativeCOMMERCIALvehiclesrelativetoliquidsvehicles
1+4+13
Transport 137.00.00 Batteriesratio 1+5+4Scenarios 138.00.00 Trenddemand(allsectors) 1+2+10Scenarios 139.00.00 Waste 1+2+10Scenarios 140.00.00 Intensities 1+1+5Scenarios 141.00.00 Minerals 1+2+10Scenarios 142.00.00 Nuclear 1+1+5Scenarios 143.00.00 Techno-ecologicalpotentialelectricRES 1+7+35Scenarios 144.00.00 ProjectionelectricRES 1+8+40Scenarios 145.00.00 Bioenergy 1+15+75Scenarios 146.00.00 Techno-ecologicalpotentialRESforheat 1+2+10Scenarios 147.00.00 ProjectionRESforheat 1+3+15Scenarios 148.00.00 Alternativetransport 1+3+15Scenarios 149.00.00 Afforestation 1+1+5
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Topic id PAV PAV+disaggregationlevels+variables
Scenarios 150.00.00 Resourcesoil 1+4+20Scenarios 151.00.00 Resourcesgas 1+4+20Scenarios 152.00.00 Resourcescoal 1+1+5Scenarios 153.00.00 Resourcesuranium 1+1+5Scenarios 154.00.00 CTL 1+1+5Scenarios 155.00.00 GTL 1+1+5Scenarios 156.00.00 Climate 1+1+5Scenarios 157.00.00 CCimpacts 1+1+5Scenarios 158.00.00 Policiestoreduceoilcontributioninheatand
electricityfollowinglineardecreasingtrend1+2+10
2.3IdAsmentionedbefore,MEDEASdatabasehas a highdisaggregation level in their PAVs. Someofthem (there are PAVs which do not need any disaggregation) can have a disaggregation levelwhichorganises thevariablesamongstdifferent types.Allof themare theentries indatabase,+whicharetranslatedintotheDBMS.SeveralexamplesareprovidedinTable3andinthissection.
Eachentryhasoneidentificationcode.TherearenomorethanthreelevelsforeachPAV,whichare identified (column id) by their respective identification code. The different disaggregationlevelsof theentrieswereencodedbynumbers (00–99), thus this identificationcodewill reportthesethreelevelsfollowingthisstructure:xx.xx.xx.ThefirstlevelcorrespondstothePAV,andthesecondandthirdlevelcorrespondstothedifferentlevelsofdisaggregationbecauseeachPAVcanbedisaggregatedinanumberofvariables.Secondlevelcanbeadisaggregationlevelwhenthereisnodata in it,butalsoavariablewhen there isdata.Third level isalwaysavariable includingdata.
For instance,thePAVwithidentificationcode1.00.00andcalled‘GDP(FinalDemand)’hasbeendisaggregatedbyeconomicsectors (Table5) into35newvariables from1.01.00to1.35.00;andthe PAV with identification code 29.00.00 and called ‘Kg material per new MW installed(constructionphase)’hasbeendisaggregatedby7energytechnologiesfrom29.01.XXto29.07.XXandby58materials (Table7) from29.XX.01to29.XX.58resulting in7disaggregation levelsplus406(58x7)variables.
Table3 showsexamplesonhowentries are assignedawith three level identification code. ‘Id’columnshowstheidentificationcode.‘Entries’isthecolumnwiththenameoftheentry.‘Typeof
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entry’columnshowsiftheentryisaPAV,adisaggregationleveloravariable.Thecolumn‘Dataprovided’explainstheinformationofeachentry,thisinformationwillbeprovidedbyDBMS.
Table3.ExamplesofdisaggregationlevelsofentriesinMEDEASdatabaseandtheiridentificationcodes.
Id Entries Typeofentry Dataprovided
17.00.00 FinalEnergyIntensity PAV Finalenergyintensity(Total)
17.01.00 FinalEnergyIntensity_Electricity
Disaggregationlevel.Seconddisaggregationlevel.Morelevels.
Finalenergyintensitybysource(Electricity)
17.01.01 Agriculture,Hunting,ForestryandFishing
Variable.Thirddisaggregationlevel.Includesdata.Nomorelevels.
Finalenergyintensitybysource(Electricity)andsector(Agriculture,Hunting,ForestryandFishing)
17.01.02 MiningandQuarrying Variable.Thirddisaggregationlevel.Includesdata.Nomorelevels.
Finalenergyintensitybysource(Electricity)andsector(MiningandQuarrying)
17.02.00 FinalEnergyintensity_Heat
Disaggregationlevel.Seconddisaggregationlevel.Morelevels.
Finalenergyintensitybysource(Heat)
17.02.03 Food,BeveragesandTobacco
Variable.Thirddisaggregationlevel.Includesdata.Nomorelevels.
Finalenergyintensitybysource(Heat)andsector(Food,BeveragesandTobacco)
17.03.04 TextilesandTextileProducts
Variable.Thirddisaggregationlevel.Includesdata.Nomorelevels.
Finalenergyintensitybysource(Liquids)andsector(TextilesandTextileProducts)
28.00.00 Mineralproduction PAV Mineralproduction(Total)
28.01.00 Silver(Ag) Variable.Seconddisaggregationlevel.Includesdata.Nomorelevels
Mineralproductionbymineral(Silver)
Disaggregationlevelsnotalwaysincludedatawhentheironlyutilityislabellingthedisaggregateddata under its title, then the variables are included under these disaggregation levels or PAVs(whenthereisnoneedtousedisaggregationlevels).
In some cases, the PAV is enough to provide the data, as there is no disaggregation in it. Forinstance,PAV29.00.00,‘KgmaterialpernewMWinstalled(constructionphase)’inMaterialstopichas 7 disaggregation levels according different energy technologies and 58 materials in eachdisaggregationlevel.Theircommitmentisseparatingthematerialsusedinenergyinfrastructuresconstruction by technologies. However, there is no data nor in the PAV, neither in the 7disaggregationlevels,butinthe406variables.
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2.4TopicMEDEAS database (both data andmetadata) is organized by Topics. These topics (Table 4) arerelatedtothemodulesinMEDEASmodelshowedinFigure1(i/Energyinfrastructures,ii/EconomyandPopulation,iii/Materials,iv/Climatemodel,v/Landuse,vi/Socialandenvironmentalimpactsindicators,vii/Energy(NRandRESavailability)).
Each topichasanumberofPAVscollected (Table2) regarding themodelneeds.The topicsputtogetheralltheentriesthatfeedeachmoduleofthemodel.Ineachtopic,PAVSarecollectedinadditiontotheirlevelsofdisaggregationandvariables.
Table4.TopicsinMEDEASDatabaseanditsnumberofentries.
Topic Information Numberofentries
Socioeconomic Datafortheeconomymodule,mainlyinmonetaryunits 1345
Resources-Economy HybridvariablessuchasresourcesintensitiesrelatedtoGDP 363
Landuse Datafortheland-usemodule 9
Energyconsumptionbysectors
Finalandprimaryenergyconsumptionbysourcesandindustrialsectors.Datafortheeconomymodule
186
Materials Materialresources.Dataforthematerialsmodule 745
Emissionsandclimate Datafortheclimatemodule 28
Electricitytransformation Datafortheenergyinfrastructuresmodule 2
ElectricitygenerationfromRESvariables
Datafortheenergy(NRandRESavailability)module 27
Energyhistoricaldata Datafortheenergyinfrastructuresmoduleandfortheenergy(NRandRESavailability)module
57
Historicconstants Constantsneededinthemodels 26
Renewable&NuclearEnergyParameters
Parametersfortheenergy(NRandRESavailability)module 105
Otherparameters Parametersneededinthemodels 100
Transport Datafortheeconomymodulerelatedwithtransport 115
Scenarios Scenariosdataconsideredinthemodels 399
Detailsonthedifferententriescontainedineachtopicwillbediscussedbelow.
Socioeconomic: Here we can find data related with final demand, production, primary incomedistributionorthevaluesforthecoefficientmatrixoftheInput-Outputtables(IOTs).FinaldemandandGDP are disaggregated by 35 economic sectors (Table 5). Inequality indicators refer to the
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income share over GDP of labour and capital. Thus, PAV Income collects labour and capitalincome.
Collection of a large share of socioeconomic data depends on working with the World Input-OutputDatabaseWIOD.OneofthemainstrengthsofMEDEASisitssectorialdisaggregationandInput-Output Analysis (IOA). For this purpose, the WIOD was chosen because it met all theserequirements: public database, available at world level and inclusion of environmental (Genty2012) and societal (Timmer et al. 2015) satellite accounts.WIOD provides interregional IOTs incurrentandinpreviousyearprices.TheprocesstoobtainaworldIOTasifitwasjustonecountryhasinvolvedtwotasks:
• DeflateinterregionalIOTsusingvaluechainswithacommonbaseyear(1995).• CompiledeflatedinterregionalIOTsintoaoneregionwithnoexternaltrade.
Hence, firstly, interregional IOTs were deflated using value chains methodology. Then, incollaborationwithMasarykUniversity(MU),interregionalIOTs(seeFigure2)hadtobetranslatedtooneregionIOT.
Figure2.NationalandInterregionalIOTstoconstructWorldMEDEASIOTs.
IC: Intermediate consumption; FD: Final demand; VA: Value added; X: Production. National IOT superscripts: N:National;FN:foreigninnational;NF:Nationalinforeign.
Inordertofitwiththeworldmodel,thisinterregionalIOTneedstobeconvertedintoaoneregionIOT without external trade, like in Figure 3. As well, for the Europe database, from theinterregionalIOTtherehasbeennecessarytoconvertitintoa2regionsIOT.These2regionsIOTconsists on an interregional IOT with just 2 regions: Europe and Rest of the world (collectingexternal trade). For country level, conversely, it has been constructed a national IOT. All these
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structural changes imply different accounting systems in the IOTs, which has required anadditionalworktocollectthedataneededinthemodel.
Figure3.WorldIOTusedinMEDEAS.
IC:Intermediateconsumption;FD:Finaldemand;VA:Valueadded;X:Production.
Usingthissourcehasconditionedtheelectionofthesectorialdisaggregation.Besides,additionalworkhasbeenneededinordertocompileWIODenergysourcesintothoseneededinthemodel.The35sectorsthatcanbeseenalongthedatabasearecollectedinTable5.
Table5.SectorialdistributioninMEDEASdatabase
Sectors
1 Agriculture,Hunting,ForestryandFishing 18 Construction
2 MiningandQuarrying 19 Sale,MaintenanceandRepairofMotorVehiclesRetailSaleofFuel
3 Food,BeveragesandTobacco 20 WholesaleTradeandCommissionTrade,ExceptofMotorVehicles
4 TextilesandTextileProducts 21 RetailTrade,ExceptofMotorVehicles;RepairofHouseholdGood
5 Leather,LeatherandFootwear 22 HotelsandRestaurants
6 WoodandProductsofWoodandCork 23 InlandTransport
7 Pulp,Paper,Paper,PrintingandPublishing 24 WaterTransport
8 Coke,RefinedPetroleumandNuclearFuel 25 AirTransport
9 ChemicalsandChemicalProducts 26 OtherSupportingandAuxiliaryTransportActivities;ActivitiesofTravelAgencies
10 RubberandPlastics 27 PostandTelecommunications
11 OtherNon-MetallicMineral 28 FinancialIntermediation
12 BasicMetalsandFabricatedMetal 29 RealEstateActivities
13 Machinery,Nec 30 RentingofM&EqandOtherBusinessActivities
14 ElectricalandOpticalEquipment 31 PublicAdminandDefence;CompulsorySocialSecurity
15 TransportEquipment 32 Education
16 Manufacturing,Nec;Recycling 33 HealthandSocialWork
17 Electricity,GasandWaterSupply 34 OtherCommunity,SocialandPersonalServices
35 PrivateHouseholdswithEmployedPersons
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ThePAVcorresponding toTechnicalCoefficients (PAV11.00.00)has the largest setofentries inMEDEAS.Itisusuallygivenaspaneldata,asitreflectscommercialtransactionsbetweenthese35industrialsectors(a35x35matrix)repeatedfortheentiretimesample.As it iscollectedastimeseries, each sector’s relationwith theother 34 is one variable. Therefore, PAV11.00.00has 25disaggregation levels and 1225 (35x35) variables. For the sake of simplicity, sectorial datawithequalmetadatathanitsrootPAV,itisnotincludedinthemetadata.Socioeconomictopicincludes1345entriesatworldlevel.
Resources-Economy: Includes hybrid indicators, as the efficiencies in primary and final energyconsumptionregardingeachsectorproduction.Efficienciesaredisaggregatedbyindustrialsectorsand types. For instance, energy intensities are unbundled according to energy sources. Finalenergy sources are: i/ electricity; ii/ heat; iii/ liquids; iv/ gases; v/ solids. Primary energy isdisaggregatedin:i/coal;ii/oil;iii/naturalgas;iv/other.Thistopicencompasses363entries.
Landuse:wehaveregisteredthelandareaandshareof landuse:foodland,forest,biodiversityprotection land,pastures,biofuels land,arable landandothersasenergy infrastructures for thespreadofrenewabletechnologies.ThereisthesamenumberofentriesthanPAVsbecausethereisnodisaggregation,thisis9entries.
Energy consumption by sectors: due to its especial relevance, in this section we include dataaboutthefinalenergyconsumptionwithindifferentsourcesandeconomysectors.Asmentionedbefore regardingenergy intensities, finalenergyconsumption isdisaggregatedby5 finalenergysources and 35 industrial sectors plus household consumption, resulting in 186 entries.AggregatedenergysourcesusedinMEDEASandtheiroriginaldisaggregationareshowninTable6.
Finally,inordertoaggregateenergydatainaproperwaytofitinMEDEASmodel,WIODsourceshavebeencontrastedwithIEAsourcestocompilenewtypesoffinalenergy.Table6showsFinalenergysources.MEDEAScolumnshowtheenergysourceinMEDEAS,whichhasbeenconstructedaggregatingWIODenergysources.WIODenergysources,inturn,needtobecontrastedwithIEAbalances.
Table6.ConversionofWIODfinalenergysourcestoMEDEAS
MEDEAS WIODCODE IEA
ELECTRICITY ELECTRICITY ElectricityHEAT HEAT Heat
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LIQUIDS
CRUDE Crudeoil-Naturalgasliquids-Refineryfeedstocks-Additives/blendingcomponents-Otherhydrocarbons
DIESEL Gas/Dieseloilexc.BiofuelsGASOLINE Motorgasolineexcl.Biofuels
JETFUEL Aviationgasoline-Gasolinetypejetfuel-Kerosenetypejetfuelexcl.Biofuels
LFO Gas/DieseloilHFO Fueloil
NAPHTA Naphtha
OTHPETROBitumen-Ethane-Liquefiedpetroleumgases(LPG)-Lubricants-Otheroilproducts-Otherkerosene-Paraffinwaxes-Petroleumcoke-Refinerygas-Whitespirit&SBP
BIOGASOL Bio-gasoline-OtherliquidbiofuelsBIODIESEL Biodiesels
GASES
NATGAS Naturalgas
OTHGAS Blastfurnacegas-Cokeovengas-Gasworksgas-Coalgasesnon-specified-Otherrecoveredgases
BIOGAS Biogases
SOLIDS
HCOAL Anthracite-Otherbituminouscoal-Cokingcoal-Patentfuel-Sub-bituminouscoal
BCOAL BKB-Coaltar-Lignite-Peat-PeatproductsCOKE Gascoke-Cokeovencoke
WASTE Industrialwaste-Municipalwaste(renewable)-Municipalwaste(non-renewable)
OTHRENEW Charcoal-Non-specifiedprimarybiomassandwaste-Primarysolidbiomass
Materials:Weincludeheretheextractionofcriticalmaterialsfromthepointofviewofrenewableenergygeneration,aswellasthereserves,therecyclingratesandtheextractioncostsinmonetaryandenergy terms.The listof58materials inwhicharedisaggregated thePAVsare collected inTable7.ThisTopiccontains745entries.
Table7.Listof58materials
MATERIALS
Adhesive Lime SiliconsandAluminium(Al) Limestone Siliconwafermodules
Aluminiummirrors Lithium(Li) Silver(Ag)Cadmium(Cd) Lubricant Tin(Sn)Carbonfibre Magnesium(Mg) SodaashCement Manganese(Mn) Steel
Chromium(Cr) Heavymachinery(depreciation Syntheticoil
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andreposition)Copper(Cu) Concrete Tellurium(Te)
Diesel Molybdenum(Mo) Titanium(Ti)Dy NaNO3mined Titaniumdioxide
Electric/electroniccomponents NaNO3synthetic Vanadium(V)Evacuationlines(KM) Neodymium(Nd) Wires
Fiberglass Nickel(Ni) Zinc(Zn)Foamglass Overgrid(15%) Gallium(Ga) Overgrid(5%)
Glass Paint Glassreinforcingplastic(GRP) Lead(Pb) Gravel(roads,protection…) Plastics
Indium(In) Polypropylene Iron(Fe) Rock
KNO3mined Rockwool Asphalt Sand
Emissionsandclimate:Includesdataconcerningtogreenhousegasesemissions.Theseareentriesin terms of CO2 and other gases as CH4. It includes both atmospheric concentrations andtemperature increases.Emissionsaredisaggregatedbysources:oil,unconventionaloil,coal,gasandunconventionalgas.Thistopichas28entries.
Electricitytransformation:Collectsstoragecapacitiesinonlytwoentries,thesamenumberthanPAVs.
Electricitygeneration fromRESvariables:Unlikeprimaryenergysources, theseare finalenergysources.There isdataof installedcapacity,costsand lifetimefor7 technologies: i/Windpower(on shore); ii/Wind power (off shore); iii/ Solar photovoltaic (land); iv/ Hydro power; v/ Solarthermal power; vi/ Geothermal power; vii/ Biomass and waste power; viii/ Solar photovoltaic(rooftop);ix/Solidbioenergyforelectricity;x/Oceanic.Thereare27entriesinthistopic.
‘Energy historical data’, ‘Historic constants’, ‘Renewable & Nuclear Energy Parameters’ and‘Otherparameters’:Theyareusedamongall themodulesofMEDEAS.Therearehistoricaldatarequired to establish trends and other historic constants as well. Then, parameters regardingRenewable&NuclearEnergyandotherparametersrequiredfortheentries inthemodel.Thereare288entriesinthesetopics.
Transport: Data about the energy use by each type of vehicle, number of electric and hybridvehicles, number of batteries, etc. Types of vehicles are disaggregated related to their energyneeds:i/liquids;ii/gas;iii/hybrid;iv/electricvehicle.Inordertotakeintoconsiderationefficiency
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we included informationaboutsavingandbatteries ratiosby typeofvehicle.Thereare2and4wheels’vehicles,fromhouseholdsandcommercial,heavyandlightduty,cargos,busandtrain.Inthistopicthereare115entries.
Scenarios:Collectsthedataforrunningthemodelswiththe4defaultscenarios.Inthistopicthereare399entries.
2.5TypeofVariableTheentriesareclassifiedregardingtheirroleinMEDEASasexogenousorendogenous.Theentriesthatsimplyfeedthemodelanddonotevolveasaresultofmodeling,areexogenous.Conversely,endogenousarethosethatvarydependingontheevolutionofthemodel.Forinstance,constantsliketherateofrecyclingdoesnotevolveasconsequenceoftheevolutionofotherentriesinthemodel. It can be modified among scenarios or through policies, but this modifications areexogenoustothemodel.Onthecontrary,FinalEnergyconsumptionisaresultoftheevolutionofotherentriesinthemodelsuchasenergyavailability.Thus,itisendogenoustothemodel.Finally,‘notclear’arethosethatplaybothroles,ashistoricaltrendsdo.
2.6UnitsUnitsinMEDEASdatabasehavebeenchosenregardingavailabilityandthosethatbetterfitwiththe model needs. Moreover, units need to be consistent between each other. For instance,monetaryunitsthatinteractwithentriesrelyingonmonetaryunitsneedtohavethesamebase.WIOD,asoneofthemainsourcesofMEDEASdatabaseprovidenotonlyentriesinmonetaryunits(suchasproductionor finaldemand),but isused to calculate intensities (final energy intensity,primaryenergyintensityorwaterintensity).WIODdatabaseisprovidedincurrentandinpreviousyear prices.Deflating this data has been a largeprocess,managingdata sourceswith a samplewith a size of 49000 for each year and, thus, a total size of the sample of 735000. Finally, theresultsobtainedwheremonetaryunitsin1995$.Thesimplifiedprocesstoobtainmonetarytimeseriesinthesamebaseunitwasthefollowing:
1- Fromcurrentpricestolinkers.
𝐿! =𝐶𝑢𝑟𝑟!,!!!𝐶𝑢𝑟𝑟!!!
∗ 100
2- Fromlinkerstovolumechains.
𝐵𝑎𝑠𝑒 𝑌𝑒𝑎𝑟 (𝐵𝑌) = 100; 𝐵𝑌!! = 𝑙𝑖𝑛𝑘𝑒𝑟𝑠;𝑇ℎ𝑒𝑛: 𝑉! = 𝑉!!! ∗ 𝐿!100
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3- Fromvolumechainstoconstantvalues.
𝐶𝑉! =𝐶𝑢𝑟𝑟!" ∗ 𝑉!
100
Where:𝐶𝑢𝑟𝑟!:Valueincurrentpricesatyeart.𝐶𝑢𝑟𝑟!,!!!:Valueinpreviousyearprices.𝐿!:Linkeratyeart.𝑉!:Volumechainatyeart.𝐶𝑉!:Constantvalueatyeart.
ThedatabaseunitsarecollectedinTable8.UnitTitleisdenameoftheunitwhichisshownfortheuser when selected in the database and metadata. Each unit title belongs to a quantity title,becauseeachentrycanbeconverted intootherunits. For instance,Quantity ‘Area’ is shown inkm2,MhaandkHa.Baseunitisthereferenceunitfortheothersineachquantitytitle.Thus,baseunit are shown by default.Multipliers for each unit title have been added to the base units inordertomaketheconversions.
Table8.ListofunitsinMEDEASdatabase
UNITTITLE QUANTITY BASEUNIT
Annualgrowth% Annualgrowth annualgrowth%kHa Area km2MHa Area km2km2 Area km2
Mha/EJ Areaperenergy Mha/EJTW Capacity TWMW Capacity TWW/m3 Capacityperarea W/m2
ºC*m*m/(W*yr) Climateparameter ºC*m*m/(W*yr)ppm CO2concentration ppm
tonCO2 CO2Emissions GtonCO2GtonCO2 CO2Emissions GtonCO2MtonCO2 CO2Emissions GtonCO2
GtonCO2/MJ CO2Emissionsperenergy GtonCO2/MJChainedlinkedvolumes,
million€(2010)Commercevolume Chainedlinkedvolumes,
million€(2010)€/kWh Costperenergy €/kWhDmnl Dimensionless Dmnl
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UNITTITLE QUANTITY BASEUNIT
TWe/Mha ElectricTWperarea TWe/MhaTWe ElectricalCapacity TWe
jobs/MW Employmentperenergy jobs/MWEJ Energy EJ
TWh Energy EJTJ Energy EJ
TJ/$(1995) Energyintensity EJ/$(1995)EJ/$(1995) Energyintensity EJ/$(1995)
kWh/$(1995) Energyintensity EJ/$(1995)TJ/million$(1995) Energyintensity EJ/$(1995)
MWh/ha Energyperarea MWh/haEJ/Mha Energyperarea MWh/ha
kgoe/capita Energypercapita kgoe/capitaGJ/capita Energypercapita kgoe/capitaMJ/Kg Energypermass MJ/Kg
W/(m2*ºC) Heatcapacity W/(m2*ºC)$(1995)/kW Investmentcost $(1995)/kW
thousand$(1995)/TW Investmentcost $(1995)/kW%oftotallaborforce LaborForce %oftotallaborforce
Mton Mass Mtonton Mass Mtonkton Mass Mton
kg/newMW Masspercapacity kg/newMWton/capita Masspercapita ton/capitaGtonCH4/MJ Methaneperenergy GtonCH4/MJmillion$(1995) Money million$(1995)ktonCO2eq OthergasesEmissions GtonCO₂eqGtonCO₂eq OthergasesEmissions GtonCO₂eq
GtonCO₂eq/MToe OthergasesEmissionsperenergy
GtonCO₂eq/MToe
% Percent %inhabitants Population inhabitants
W/m2 Radiativeforce W/m2ratioinput($)/output($) Technicalcoefficients ratioinput($)/output($)
ºC Temperature ºCTWth ThermalCapacity TWth
vspasttrends Values vspasttrendsmillionvehicles Vehicles ºC
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UNITTITLE QUANTITY BASEUNIT
m3 Volume TWth1000m3 Volume vspasttrends
m3/$(1995) Waterintensity millionvehicles1000m3/million$(1995) Waterintensity m3
1000m3/$(1995) Waterintensity m3kW/battery WattsperbatteryEV m3/$(1995)
yr Years m3/$(1995)
2.6Sources,LinkandLicenseInTable9arecollectedthe48sourcesusedfortheMEDEASdatabase.DatausedinMEDEASmustbe of public domain, therefore data sources with copyright protection had required ownelaborationsandestimations.AsoneofMEDEASmainrequirementsisthepublicavailabilityofalldata used, the public domain is expressed explicitly in metadata, the category license can bepublicdomainorprivatedomain.
ThemostimportantdatasourcebynumberofdataisWIOD(Dietzenbacheretal.2013),butalsoWorldBank,IEA,OECD,CDIAC,BP,IRENA,etc.Someofthedatasourcesareeasytocollectdatalike‘BritishPetroleum(BP)’,butothersrequirehardworklikeUSGSsourceformaterialsbecausedataisprovidedinyearlyindependentreportsfrom1994to2016;andsomearefreeandinthepublicdomain(inthesenseof intellectualproperty) likeWIODandsomearenon-freeandhavecopyrightprotectionlikeInternationalEnergyAgency.
Thecategory‘sources’explainsalsotheprocedureofretrieval,focusingontheinstitutionortheauthor/sifitisfromapaper,reportorbook.Whenpossible,alinktothesourcewherethedatawascollectedisgiven.TheURLgivenisalwaystheclosesttothefinaldata,particularlyforcaseswhereisnotpossibletolinkthemdirectly.
Table9.ListofsourcesinMEDEASdatabase
Source Link
WorldInput-OutputDatabase(WIOD) www.wiod.orgWorldBankGroup http://data.worldbank.org/InternationalEnergyAgency http://www.iea.org/statistics/FriendsOfTheEarth https://www.foe.co.uk/FoodandAgricultureOrganizationoftheUnitedNations(FAO)--StatisticsDivision(ESS),
http://www.fao.org/economic/ess/ess-home/en/
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Source Link
EnvironmentStatisticsteamCapellánetal.DeliverableD2.2.e.4(annex12) Alfresco(internalserveratICM-CSIC).:
https://alf.cmima.csic.es/share/page/OECD.Greengrowthindicators http://www.oecd.org/env/indicators-modelling-
outlooks/green-growth-indicators/UnitedStatesGeologicalSurvey(USGS) https://www.usgs.gov/IntergovernmentalPanelonClimateChange(IPCC) http://www.ipcc.ch/CarbonDioxideInformationAnalysisCenter(CDIAC) http://cdiac.ornl.gov/GlobalCarbonProject http://www.globalcarbonproject.org/NOAAEarthSystemResearchLaboratory https://www.esrl.noaa.gov/NASA.GlobalClimateChange https://climate.nasa.gov/BaselinescenariofromDICE-2013R http://www.econ.yale.edu/~nordhaus/homepage/docume
nts/DICE_Manual_100413r1.pdfBrandtandFarrell(2007) http://rdcu.be/r5QGBritishPetroleum(BP) http://www.bp.com/en/global/corporate/energy-
economics/statistical-review-of-world-energy.htmlHowarth(2015) http://www.eeb.cornell.edu/howarth/publications/f_EECT-
61539-perspectives-on-air-emissions-of-methane-and-climatic-warmin_100815_27470.pdf
U.S.EnergyInformationAdministration https://www.eia.gov/TheInternationalRenewableEnergyAgency(IRENA) http://www.irena.orgMohretal.2015 http://www.sciencedirect.com/science/article/pii/S001623
6114010254ElectricVehiclesInitiative(EVI)IEA http://www.cleanenergyministerial.org/Our-
Work/Initiatives/Electric-VehiclesInternationalAssociationforNaturalGasVehicles(IANGV)
http://www.iangv.org/
Lund&Boyer(2015) Lund,JohnW.,andTonyaL.Boyd.“DirectUtilizationofGeothermalEnergy2015WorldwideReview.”InProceedingsWorldGeothermalCongress2015,31.Melbourne,Australia,2015.
SolarPACESdata https://www.nrel.gov/csp/solarpaces/EnvironmentalWorkingGroup(EWG) http://www.ewg.orgCapellán-Pérezetal.(2017) http://www.sciencedirect.com/science/article/pii/S136403
2117304720deCastroetal.(2013) http://www.sciencedirect.com/science/article/pii/S136403
2113005807REN212016 http://www.ren21.netBoccard(2009) http://www.sciencedirect.com/science/article/pii/S030142
150900144XTeskeetal.(2011) Teske,Sven,ThomasPregger,SonjaSimon,TobiasNaegler,
WinaGraus,andChristineLins.2011.“Energy[R]evolution2010—aSustainableWorldEnergyOutlook.”EnergyEfficiency4(3):409–33.doi:10.1007/s12053-010-9098-y.
SchneiderandFroggatt(2014) https://www.worldnuclearreport.org/-2014-.htmlAnnex3fromMEDEASD2.1 Alfresco(internalserveratICM-CSIC):
https://alf.cmima.csic.es/share/page/
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Source Link
Deliverable4.1 Alfresco(internalserveratICM-CSIC):https://alf.cmima.csic.es/share/page/
WEO2010 http://www.worldenergyoutlook.org/media/weo2010.pdfMediavilla2013;deCastroetal(2014)andMEDEASD2.2Task2.2.e.4
Alfresco.(internalserveratICM-CSIC):https://alf.cmima.csic.es/share/page/
Fieldetal.2008 https://www.ncbi.nlm.nih.gov/pubmed/18215439deCastro&Carpintero(2014) http://www.sciencedirect.com/science/article/pii/S036054
4213009018Millsetal.(2012) http://escholarship.org/uc/item/1tk2f2mcArtoetal.(2016) http://www.sciencedirect.com/science/article/pii/S097308
2616301892?via%3DihubGoldemberg(2011) http://econpapers.repec.org/paper/hdrhdocpa/hdocpa-
2001-02.htmDICEmodel http://www.econ.yale.edu/~nordhaus/homepage/docume
nts/DICE_Manual_100413r1.pdfNielsen&WoLiM1.5 https://www.researchgate.net/publication/313823551_Wo
LiM_15_Model_DocumentationDale&Barnhart(2013) http://pubs.rsc.org/en/content/articlelanding/2013/ee/c3e
e41973hDenholmandMargolis(2008) https://inis.iaea.org/search/search.aspx?orig_q=RN:400192
99Ragnarsdóttiretal.(2012) Ragnarsdóttir,K.V.,Sverdrup,H.,Koca,D.,2012.Assessing
longtermsustainabilityofglobalsupplyofnaturalresourcesandmaterials,in:SustainableDevelopment-Energy,EngineeringandTechnologies-ManufacturingandEnvironment.InTech.
Halletal.(2014) http://science-and-energy.org/wp-content/uploads/2016/03/Hall-Lambert-and-Balogh-2014-EROI-of-different-fuels-and-the-implications-for-society.pdf
Raoetal.2014 http://www.nature.com/nclimate/journal/v4/n9/full/nclimate2340.html?foxtrotcallback=true
WBGU2003 www.wbgu.de/
2.7 Last source update, Date collection and Dataperiod
The category ‘last source update’ provides the last update time provided for the original datasourcecollected.
Date collection refers to the date when the data was collected by UVa. If there are furtherdevelopments,thiscategorywillhavetobeupdated.
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Adataperiodisthetimeperiodforwhichdatawascollectedorcalculatedandtowhichthedatarefer.
2.8ReliabilityindexReliability index has been calculated according to the algorithm proposed in Table 10. Therationaleof the reliability index is toprovidea relativelyobjective criterion to choosea source.Length of the time series, continuity of them, number of sources used and variation of datasourcesareobjectiveindicators.Variationofdatasources(Table10)refers,incasethatmorethanonesourcehasbeenused,tothevariationbetweenthem.Finally,thereisasubjectiveindicator‘reliabilityofdatasources’,dependingontheinstitution,paper,ordatabasewherethedatawascollected. This concept has been introduced by AEA (M. Baumann) to harmonize themetadatadefinitionwiththeconceptsalreadyinuseinTIMES-Austriamodel.
Table10.Reliabilityalgorithm
Category Possibleanswers Scores
1.Lengthofthetimeseries1-55-10
Morethan10
0.70.851
2.Obviousdiscontinuitiesinthetimeserieswithoutobviousexplanation
YESNO
0.71
3.Numberofdatasources 1Several
0.71
4.Variationsofdatasources0-20%
21 –50%>50%
10.850.70
5.ReliabilityofdatasourcesLow
MediumHigh
0.70.851
2.9CommentsandTypeofvalueComments: Finally, some clarifications and descriptions are gathered in category comments, inorder to make data more comprehensively. For instance, we detail here the estimated andelaborateddataforMEDEASinordertomaintainitspublicdomainnature.
Typeofvalue relatesto itsconditionastimeseries,constantorparameter.Data isorganizedintime series. Some data, as technical coefficients are usually provided as panel data. However,
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becauseof the need for homogeneity in the database, itwas decided to provide themas timeseries.Inaddition,therearesomeconstantsorparametersthatonlyrequireadataentry,withnotimedimension.Thesekindofdatahasbeendeliveredasjustonevaluein2015or,alternatively,repeated throughout all the time sample. Data maximum sample if from 1960 to 2016, butdependsontheentry,accordingmainlytotheavailabilityoflongseries.
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3.WebDatabaseManagementSystem(CRES)Awebdatabasemanagementsystemthatallowspartnerstostore,retrieveandmanagethedatacollected, elaborated and generated within MEDEAS project was designed, implemented andinstalled in the framework of Deliverable 2.3. The exact work plan and actions for thedevelopmentof theapplicationaredescribed inthefollowingsections. It isnotedthat thedatacenter hosting the application will provide infrastructure for running MariaDB along with anapplicationserver(Tomcat).
3.1WorkplanCRES was the responsible partner for designing and developing the whole application, whichconsistedofthreeparts,describedinthefollowing.
Layer 1 - Database: The design and development of the database was based on the “entity -attribute–value”model.Withinthiscontext,theentityisoneamong"World","EU",“Austria”or“Bulgaria”andtheattributeisthespecificentry.Inthismodel,theentriesareorganizedinatree,whereasprovisionsweremade,sothatthehistoryofchangesforeachentryisstoredandreadilyavailable.Moreover,foreachentrytherelevantmetadataarestored.
TheDBMSselectedtodevelopthisapplicationisMariaDB.
Layer2-MiddleLayer:Intermsoffunctionality,CREShasdesignedanddevelopedaJ2EElibrary(.jarfiles)thatprovidesthefollowingfunctionality,intheformofJSFpost-backs:
- Storethevalueofaspecificentry.- Retrievethevalueofaspecificentry.- Createanewentry.- Retrieve the data needed for report generation. For this purpose a Java API has been
designedandimplemented,that,givenoneormoreentriesandoneormoreentities(seeabove)hasretrievedtherelevantdata.
Layer3-Frontend:CREShasdesignedanddevelopedawebapplicationthatexposesthe‘layer2’functionality to theweb user. Emphasis has been given in the simplicity and robustness of theapplication.Auserauthenticationsystemisalsoprovidedatspecificapplicationsections,withtheinitialpasswordssenttoapplicationusersbyaseparate,securemedium.
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3.2DatabaseapplicationdescriptionThissectiondescribesthefirstlayeroftheDBMS,namelythedatabase.
Figure4showstheschemaof thedatabasestructure,whichwasdesignedbasedonanasetofinitialsampledataandfollowingsomediscussionswiththeMEDEASmodeldevelopers.
Figure4.DatabaseStructure
AsseeninFigure4,thedatabaseconsistsoftwomainentities:VariableandValue.TheVariableentity holds the basic characteristics of the entries of theMEDEASproject (Id code, entry title,etc.). It is connected with the Metadata entity, which holds additional characteristics of theentries.TheValueentityholdsthedatacollected,elaboratedandgeneratedwithintheMEDEASproject.EachValueentityrecordcontainstheIdcode,theleveltowhichthedatarefer(i.e.model:World,Europeanetc.),theyeartowhichthedatarefer(time)andtheactualnumericalvalueofthedata.
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Theotherentities,whichareshownintheschemaabove,aresetsofpredefinedvaluesthatareusedtofillcertainfieldsofthemainentities.Therefore,everyvalueofaentryreferstoamodel(World, Europeanetc.),which is retrieved from theModelentity. In the sameway,everyentrybelongs to a Topic (e.g. socioeconomic, etc.) and has a Variable Type (endogenous, exogenousetc.).Moreover,everyentryexpressesaphysicalquantity(e.g.Energy).Everyquantityhasabaseunit (e.g. kWh forEnergy).Everyunit (e.g. Joule)belongs toa certainquantity (inourexample,Energy) and it is transformed to the base unit of a specific quantity according to a certainmathematical formula (in theaforementionedexample, it ismultipliedby1/3600000,since1J=1/3600000kWh).
3.2.1TablesdescriptionEach of the above mentioned entities is described below in detail through its correspondingdatabasetable.
Table11.VARIABLE
Columnname
Type Description
id String Identificationcode.Thisisunique.title String Titleoftheentryquantity Integer Whichphysicalquantitytheentryrefersto(e.g.Energy)topic Integer Whichtopictheentrybelongsto.Itreferstothecolumn‘id’oftableTOPICvariabletype Integer Type of the entry (endogenous or exogenous). It refers to the column ‘id’ of
tableVARIABLETYPE.
Note: Each entrymust be either endogenous or exogenous (or not clear). If a certain entry isconsidered exogenous (i.e. it comes from an external source) and a new value for this entry iscalculatedthroughthemodel(producedbythemodel),anewentrymustbecreated(meaninganentrywithanewID),whichwillhavethesamecharacteristicsasthefirstone,butits‘variabletype’will be ’endogenous’ and its title will probably need to bemodified for the two entries to bedistinguished.
Table12.TOPIC
Columnname Type Description
id Integer Identificationcodetitle String Titleofthetopic
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TheTopicentityconcernsoneofthemaindatabasetopics,suchas“ElectricityTransformation”,“Emissions and Climate”, “Energy Consumption by sector”, “Socioeconomic”, etc. This tableconsistsonlyofthetopic’sIDanditstitle.
Table13.VARIABLETYPE
Columnname Type Description
id Integer Identificationcodetitle String Titleoftype(endogenous,exogenousornotclear)
TheVariabletypeEntityconcernsthetypeofeachentryandinspecific,whetheritiscomesfroman external source (exogenous), whether it is produced by MEDEAS model (endogenous), orwhetherthisisnotclear.Thistableconsistsonlyofthevariabletype’sIDanditstitle.
Table14.QUANTITY
Columnname Type Description
id Integer Identificationcodetitle String Titleofthequantity(e.g.Energy)baseunit Integer Theunit thatweconsiderasdefault for thisphysicalquantity (e.g.
kWhforenergy).Itreferstocolumn‘id’oftableUNIT.
TheQuantityEntityconcernsthephysicalgroupintowhicheachentrybelongs.Thatis,eachentryinthedatabasebelongstoagroup,whichhassomespecificcharacteristics,mainlyreferringtothemeasurement units. For example, “Final Energy Consumption” entry belongs to the QuantityEntity“Energy”.EachQuantityconsistsofanID,itstitle,aswellasabaseunit.Thebaseunitistheunitcharacterizingthisquantity.AllentriesbelonginginthesamequantitycanbetransformedtotheQuantity’sbaseunit,throughaspecifiedconversionfactor.
Table15.UNIT
Columnname Type Description
id Integer Identificationcodetitle String Titleoftheunit(e.g.kWh)
TheUnitEntityconcernsallunitsavailable in thedatabase,whether theyarebaseunitsornot.Thistableconsistsoftheunit’sIDanditstitle.
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Table16.UNITQUANTITY
Columnname
Type Description
id Integer Identificationcodequantity Integer Itreferstocolumn‘id’oftableQUANTITY.unit Integer Itreferstocolumn‘id’oftableUNIT.multiplier Double Thenumberwithwhichwemustmultiplyavaluegiveninaunitrepresentedby
the ‘unit’ column, so thatwe have a value expressed in the base unit of thequantityrepresentedbythe‘quantity’column.
TheUnitquantityEntitypracticallycorrespondseachunittoaquantity,throughatransformationequation (or conversion factor). That is, all units available in the database belong to a specificquantity and they can be converted to the quantity’s base unit through amultiplier. This tableconsists of the Unitquantity’s ID, the unit table, the quantity table and the conversion factor(multiplier)betweenthespecificunitandthequantity’sbaseunit.
Table17.MODEL
Columnname Type Description
id Integer Identificationcodetitle String Titleofthemodel(World,European,AustriaorBulgaria)
TheModel Entity concerns the actualmodel and consists of an ID and themodel title (World,European,AustriaandBulgaria).
Table18.METADATA
Columnname
Type Description
id String Variablecode.Thisisuniqueandreferstocolumn‘id’oftableVARIABLE.source String
AsdefinedinSection2.
source_update Stringidentifier Stringreliability Doublelicense Stringdata_period Stringcollection_dt Datecomments String
Eachentrymusthaveauniquerowofmetadata.If,forexample,therearetwodifferentsourcesforanentry,thentheyshouldeitherbothbeincludedinthesamemetadataroworanewentry
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must be created (meaning a entry with a new id), which differs from the first in the ‘source’columnofthe‘METADATA’table,andprobablyhasatitlethatdistinguishesthetwoentries.
Table19.VALUE
Columnname
Type Description
id Integer Identificationcodevariable String Entryidentificationcode.Itreferstocolumn‘id’oftableVARIABLE.model Integer Whichlevel(World,European,AustriaorBulgaria)thevalueoftheentryrefers
to.Itreferstothecolumn‘id’oftableMODEL.time Integer Whichyearthevalueoftheentryrefersto.value Double Thevalueoftheentryforthegivenmodelandyear.
Thecombinationoffields“variable”,“model”,“time”isunique.Thismeansthattherecanbeonlyonevalueforacertainentry inaspecificmodel(World,European,etc.)and inacertainyear. Ifthere is a second value for the same entry, samemodel and same year, a new entrymust becreated(meaningaentrywithanewid),whichwillholdthesecondvalue.
TheSQLscriptsusedtocreatetheabovedescribeddatabaseschemacanbefoundinAnnexV.
3.3MiddleLayerDescriptionThissectiondescribesinmoredetailthemiddlelayeroftheDBMS,i.e.thefunctionalitywhichwillmanagethedatabasethatwillholdthedatacollected,elaboratedandgeneratedwithinMEDEASproject. Functionality is accomplished by certain procedures, in the form of JSF postbacks andthrough the use of the Java Persistence API (JPA) for themanagement of data. Details can befoundin3.5TechnicalDescriptionbelow.
Below,thereisashortdescriptionoftheabove-mentionedfunctionality.
Two main types of users will be able to use the web application, the public users and theadministrators.Thespecific functionalities foreachuser typewillbedescribedseparately in thefollowingsections.
3.3.4PublicFunctionalityPublicusershavetheabilitytoretrievedatafromtheMEDEASdatabaseintwodifferentways,asdescribedbelow:
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First, if the userwants to view or download all data contained in a specificmodel, the he canselect a model (World, EU, Austria or a Bulgaria) and retrieve the data needed for reportgeneration.Thedatawill come in the formofa table shown in thewebapplicationandwillbedownloadableintheformofExcel,csvorxml.
Second, if theuseronlywants toviewordownloadacertainpartof thedatabase, thenhecanselect one ormore entries (by defining search criteria on the entries or by clicking on certainentries)andretrievethedatafortheseentries.Thedatawillcomeeither intheformofatable(showninthewebapplicationordownloadableasabove),or intheformofgraphsshowingthetimeseriesofthevaluesforeachselectedentry.
3.3.5AdministratorFunctionalityAdministrators have additional abilities to the above considering the management of allinformationincludedinMEDEASdatabase.Inspecific,anadministratorisableto:
- Seealistofthedataforalltheentitiesofthedatabase.
- Editthedataforalltheentitiesofthedatabase.
- Createnewrecordsforalltheentitiesofthedatabase.
- Specifically, create new entries. In this case, the user inserts data for the new entry(title,topic,type,quantity)anddefinesthepositionofthenewentryintheentrytree(definingthefatherorthegrandfatheroftheentry, if itexists).Theapplication,then,producesautomaticallyanIDforthenewentryandstoresitinthedatabase.
- Insert themaindata,meaning thevalueofa certainentry fora certainmodelandacertainyear.Thiscanbeaccomplishedbytwodifferentmethods.First,theuserisabletoinsertdatabyusingaspecificform.Bythisway,theuserisabletoinsertdataonlyforoneentryandoneyeareachtime.Iftheuserwantstoinsertbatchdata,hecandosobyuploading anexcel file. Theapplicationwill read this file and store all relevantdata in the database. In order to do that, without the risk of mistakes, an exceltemplatemustbedownloadedfromtheapplicationinadvanceonwhichtheuserwillbebasedtouploadnewdata.
Theadministratorswillhaveauthorizedaccess(usernamesandpasswordsthatwillbeprovided)incertainpartsoftheapplication(theonesrelatedtotheextrafunctionalitiesdescribedabove).
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3.4FrontendDescriptionThissectiondescribesindetailthefinalactionoftheWebDatabaseManagementSystemandinspecific the development of the front end, i.e. theweb interface for the application that CRESdeveloped tomanage thedatabase thatwill hold thedata collected, elaboratedandgeneratedwithintheMEDEASproject.TheinterfacewasdevelopedwiththeJavaServerPagespackageandmorespecifically,usingthePrimeFaceslibrary.
3.4.1IndexPageThefirstpageoftheapplicationistheindexpage,whichholdstwolinks(Figure5).
Figure5.Indexpage
Eachoneof them, leads theuser tooneof the twosections (publicoradministrator)describedbelow.
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3.4.2PublicSectionThe public section of the web application will be open to any user that registers in MEDEASwebsiteandconsistsofonepagethat iscalledViewData.Here,theusercanretrievedatafromthedatabaseandviewthemindifferentforms(Figure6).
Figure6.PublicSection
Therearetwotabsinthispage,representingthetwodifferentwaysthatausercanusetosearchforentries.
3.4.2.1SelectEntriesfromTreeoptionThe first tab isusedtochooseanentry fromtheentries tree.Asalreadymentionedpreviously,entriesarestoredinthedatabaseintheformofatree,meaningthatanentrycanhavechildrenandachildcanhavechildrenofitsown(thereareuptothreelevelsinthetree).Therefore,aftertheuserchoosesoneormoreentriesfromthetree(multipleselectionscanbedoneusingtheCtrlkey),hemustselectamodel(World,Europeetc.)andadataperiodforwhichhewantstoviewthedata(Figure7).
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Figure7.SelectanentryfromTreeview
Finally,theusercanclickononeofthethreebuttonsinthebottom.Thefirstoneisforshowingthedataintabularform(Figure8),thesecondoneisforshowingdatainalinegraphandthethirdoneisforshowingthemetadatafortheselectedentries.
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Figure8.SelectanentryfromTreeresults
3.4.2.2SelectEntrieswithCriteriaoptionThesecond tab isused toselectentriesbasedoncertaincriteria (Figure9).Theusercan insertcriteriaforthemodelandthetopic,orsearchforanentrywiththeentryIdorapartoftheentrytitle. Finally, he can search for datawithin a certain data period. None of the above criteria ismandatory. If the user leaves a criterion blank, the search is performed ignoring this type ofcriteria.Thatis,ifallcriteriaareleftblank,theapplicationwillshowallthedataofthedatabase.Inthistab,theusercanchoosetoviewtheselecteddatainatabularformorviewmetadatafortheselectedentries.
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Figure9.SelectanentrywithCriteriaview
All the tabular views of data or metadata allow the user to download the data that they arecurrentlyviewingtothreedifferent forms:XLSX,XMLandCSV,byclickingonthecorrespondingicons.
3.4.3AdministratorSectionTheadministratorsectionofthewebapplicationconsistsofamainpageandseveralotherpages,aswellasamenu.Inordertoviewthemainpageandthemenu,theapplicationwillasktheuserforavalidusernameandpassword.
In themainpage, theuser sees three linksandabutton (Figure10),namely “ManageEntries”,“ManageData”,“UploadExcel”and“DownloadExcelTemplate”.
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Figure10.Administratormainpage
3.4.3.1ManagingDataTherearetwowaysforauserto insertdata(i.e.valuesforcertainentries) inthedatabase.Thefirstwayisdescribedinthefollowing.Whenthebutton“DownloadExcelTemplate”isclicked,theapplicationreadsthedatabaseandexportsdatainanexcelfilewithacertainstructure,calledtheExcel Template. This template in each sheet contains all the Topics, the Regions, the VariableTypes, theUnits and the Entries of the database, at themoment that the user downloaded it.Moreover, it includes two blank sheets, for the data and themetadata. The user can use thistemplate to upload data and store them in the database. This can be achieved, by clicking the‘UploadExcel’linkofthemainadminpage.Theapplicationopensanotherpage,whichallowstheusertouploadanExcelfileandsubmitthecontaineddatatothedatabase.
Thesecondwayforausertoinsertdataismanuallythroughthe“Managedata”link.Byclickingthis link,theapplicationopensa listofallthevalues(i.e.allthedata)storedinthedatabase. Inthispage,theuser,exceptforviewingdatausingproperfilters,canalsocreateanewvalue(i.e.insertnewdata)oreditanexistingvalue(i.e.updatedata)(Figure11).
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Figure11.ManageDatapage
In order to create a new value, the usermust select an entry and amodel, insert the year forwhichthedatawillbestoredandfinally,insertthedesiredvalue(Figure12).
Figure12.CreateNewValueform
Inordertoupdatedata,theusermustselectarecordfromthelistandpresstheEditbutton.Inthe opened form, he can only change the value for the certainmodel, entry and year. The oldvalueisstoredinahistorytableforhistoricalpurposes(Figure13).
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Figure13.EditValueform
3.4.3.2ManagingEntriesSimilarlytodata,theusercanalsomanageentries.Whenthe‘ManageEntries’linkisclicked,theapplicationopensalistwithalltheentriesstoredinthedatabase.There,theusercanviewentries(withfilters),createanewentryoreditanexistingone(Figure14).
Figure14.ManageEntriespage
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SpecialreferencemustbemadetotheCreateEntryform.Inthisform,theusercaninsertthetitleofthenewentryandselectthelevelofthenewentryintheentrytree,byselectingitsparentorgrandparent(Figure15).So,ifthefirstandthesecondleveldropdownmenusoftheformarenotfilled, the new entry will be of first level (meaning that it does not have any parent orgrandparent).Iftheuserselectsaentryfromthefirstleveldropdownmenu,thenthenewentrywillhavetheselectedentryasparent.Similarly,iftheuserselectsaentryfromthefirstleveldropdownmenu and another one from the second level dropdownmenu, then the newentrywillhavethefirstentryasgrandparentandthesecondoneasparent.Whentheuserpresses‘Save’,theapplicationautomaticallygivesanew ID to thecreatedentry.The ID is constructed in suchmannerthatreflectstheplaceoftheentryinthetree.Forexample,ifthenewentryisachildofaentry with ID 29.00.00 and this parent has three other children with IDs 29.01.00, 29.02.00,29.03.00,thenthenewentrywillobtaintheID29.04.00.
Figure15.CreateNewEntryform
3.4.3.3MaintenanceFinally, the administrator users can see a drop down menu at the top of the page, calledMaintenance,whichcontainslinkstolistsoftherecordsoftheremainingtablesofthedatabase(Figure 16). From there, the user can view, update or create new records in the Topic,Model,VariableType,Unit,QuantityandUnit-Quantitytables(thestructureandfieldsofthesetablesaredescribedin3.2.1Tablesdescription).
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Therefore, if the user wants to view the Topics of the database, he selects ‘Topic’ from theMaintenancemenu.TheapplicationopenstheTopic list form.There,theusercancreateanewtopic, edit the title of an existing topic or delete a topic. The same functionality applies to theremainingitemsoftheMaintenancemenu.
Figure16.Maintenancedrop-downmenu
3.4.5DataUpdateProcedureThe standard procedure thatmust be followed, in order to insert newdata in the database, isdescribedinthefollowing.
Ifthenewdatarefertoanexistingentry,thentheusercaninsertthemeitherbytheCreateValueformorbyuploadinganexcelfile.
If thenewdatadonot refer toanexistingentry, then theusermust first create thenewentryusingtheCreateEntryformoftheapplication.ThenhemustdownloadthenewExcelTemplatethatcontainsthenewentry,fillitwithdataanduploaditasdescribedabove.
Duringthecreationofanewentry,theusermustselectatopic,atypeandaquantityforthenewentry.Inordertodoso,thecorrespondingentitymustbealreadyavailableinthedatabase.Thatis,if,forexample,thetopicofthenewentrydoesn’texist,theusermustfirstcreateitbyusingtheCreateTopicformoftheapplication.
3.4.6SuperUserRoleAsmentionedpreviously,administratorshaveextraabilitiesregardingthemanagementofdataofMEDEAS database. The application defines one more type of user role, the super user. Whensomeoneenters theadministrator sectionwith superuser credentials,he canalso seea link topagesusedtoview,createandedittheexistingusersofthedatabase.
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3.5TechnicalDescriptionThe MEDEAS Database Management System was implemented using various tools andtechnologies.
Firstofall,thedatabaseitselfisrunningonaMariaDBdatabaseserver.TheApplicationServerofthewebapplicationisApacheTomcat8,whichisrunningonanApachewebserver.
Thewebapplication (middleand front layer)weredevelopedunder theNetBeans8.2 IDEusingtheJPAandJSFtechnologies.TheNetbeansprojectstructurecanbeseeninFigure17below.
Figure17.Netbeansprojectstructure
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The Java Persistence API (JPA) is a Java application programming interface specification thatdescribesthemanagementofrelationaldatainapplicationsusingJavaPlatform,StandardEditionandJavaPlatform,EnterpriseEdition.
Persistenceinthiscontextcoversthreeareas:
• theAPIitself,definedinthejavax.persistencepackage;
• theJavaPersistenceQueryLanguage(JPQL);
• object/relationalmetadata.
The reference implementation for JPA isEclipseLink.EclipseLink isanopen-sourcemappingandpersistenceframeworkforuseinaJavaenvironment.
JPA is the Java API for object/relational mapping (ORM), where Java objects are mapped todatabaseartifacts, forthepurposeofmanagingrelationaldata inJavaapplications.JPA includesJava PersistenceQuery Language (JPQL), the Java Persistence Criteria API and the JavaAPI andXMLschemafordefiningobject/relationalmappingmetadata.
Java Server Faces (JSF) is a Java specification for building component-based user interfaces forwebapplications
JSFsimplifiesthecreationofWebapplicationsbyprovidingastandardsetoftools(oranAPI)forbuilding user interfaces. For example, instead of coding aWeb form inHTML, a developer caninsteadcallasimple JSF functionthatgenerates the form.Another JSF functionmaybeusedtoprocess the data entered by the user. These functions are processed on the server and theresulting data is output to the client's browser. JSF benefits developers by providing reusableobjectsthatcaneasilybeinsertedintowebpages.However,thesecomponentsarealsobeneficialto website visitors since they produce standardized interface elements. Since the Java code isprocessed on the server, the appearance of the generated Web objects is consistent acrossmultiplewebsites.Additionally, JSF components are testedonmultipleplatforms, so theyworkwell in all major browsers. While JSF is often used to create basic webpage elements, it alsosupports advanced features, such as database access, Ajax interaction, and JavaScript pageactions.Thesecapabilitiesareusefulforbuildingdynamicwebsitesthatgeneratepageson-the-fly.For the MEDEAS application front end, a special JSF library, called PrimeFaces, was used. Thefollowingdiagram in Figure18 schematically represents thearchitectureused for implementingtheMEDEASDatabaseManagementSystemwiththeabovementionedtools.
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Figure18.MEDEASDatabaseManagementSystemarchitecture
3.5.1StatisticsofsourcecodefilesCRESusedtheprogramLOCMetricsforthequantitativestatisticsofsourcecodefiles.Theoutput,insummary,asper31July2017,isreportedinthefollowingtable,asdepictedinFigure19.
Figure19.QuantitativestatisticsofsourcecodefilesforthedevelopmentofMEDEASDatabase
Thedistributionofphysicalexecutablecode in folders is reported in thegraph illustrated inpiebelow:
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Figure20.DistributionofphysicalexecutablecodeinfoldersforthedevelopmentofMEDEASDatabase.
DetailedlistsoftheLinesOfCodestatisticscanbefoundinANNEXVIofthisreport.
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
1.00.00 GDP(Finaldemand)
million$(1995)
WIOD http://www.wiod.org/database/wiots13
1995-2009 17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoraldisaggregated.Chainedvolumesprices(1995)
onthebasisofIOTatpreviousyrprices.Socioeconomic
2.00.00 Production million$(1995)
WIOD http://www.wiod.org/database/wiots13
1995-2009 17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoraldisaggregated.Chainedvolumesprices(1995)
onthebasisofIOTatpreviousyrprices.Socioeconomic
3.00.00 Inequalityindicators
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009 17/05/2017 Owncalculations.Incomeshare:factorincome/GDP
Socioeconomic
3.01.00 LaborshareinGDP
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009 26/04/2017 Owncalculations.Labourcompensation/GDP.
Socioeconomic
3.02.00 ProfitshareinGDP
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009 26/04/2017 Owncalculations.Capitalcompensation/GDP.
Socioeconomic
4.00.00 Income million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009 17/05/2017 Originalsourceincurrentpricesandnationalcurrency.RateexchangeinWIOD-SEA.Worldaggregated.Assumption:RestoftheWorld
regionhasthesameprimaryincomedistribution.
Socioeconomic
4.01.00 Labourcompensation
million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009 17/05/2017
ANNEXI.WORLDMEDEASMETADATA
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
4.02.00 Capitalcompensation
million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009 17/05/2017
Socioeconomic
5.00.00 Population inhabitants WorldBank
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.
ELC.PETR.ZS&country=#
1960-2015 21/04/2017
Socioeconomic
6.00.00 Lifeexpectancyatbirth
yr WorldBank
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.
ELC.PETR.ZS&country=#
1960-2015 21/04/2017
Socioeconomic
7.00.00 Urbanpopulation
inhabitants WorldBank
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.
ELC.PETR.ZS&country=#
1960-2015 21/04/2017
Socioeconomic
8.00.00 Ruralpopulation
inhabitants WorldBank
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.
ELC.PETR.ZS&country=#
1960-2015 21/04/2017
Socioeconomic
9.00.00 Unemploymentrate
%oftotallabourforce
WorldBank
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.
ELC.PETR.ZS&country=#
1991-2016 21/04/2017
Socioeconomic
10.00.00 Energydependency
% WorldBank
http://data.worldbank.org/indicator/EG.IMP.CONS.ZS
1960-2014 16/05/2017 Netenergyimports/Energyuse.Anegativevalueindicatesthatthecountryisanet
exporter.
Socioeconomic
11.00.00 Technicalcoefficients
Ratioinput($)/output($
)
WIOD http://www.wiod.org/database/wiots13
1995-2009 17/05/2017 OnceworldInput-Outputtableiscompiledat1995prices,weobtaintheratiobetweenthe
sectoraltransactionandtheoutputbycolumns.
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
12.00.00 Finalenergyconsumptionpercapita
kgoe/capita Ownelaborationwithdatafromthe
IEA
http://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE
1971-2014 21/04/2017
Resources-
Economy
13.00.00 Waterconsumption
m3/yr WIOD-Environmental
Accounts
http://www.wiod.org/database/eas13
1995-2009 28/04/2017 Worldaggregated.
Resources-
Economy
14.00.00 WATERINTENSITY
m3/$(1995) Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009 28/04/2017 Owncalculations.Owncalculations:Waterconsumption(m3)/Production(million$1995)
Resources-
Economy
15.00.00 Materialconsumption
ton/hab*yr FriendsoftheEarthAustria
Overconsumption?OuruseoftheWorld'snatural
resources
https://www.foe.co.uk/sites/default/files/downloads/overconsumption.
1980198519901990
2000
28/04/2017
Resources-
Economy
16.00.00 PrimaryEnergyIntensity
TJ/$(1995) Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009 08/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.PrimaryEnergy
Consumption(TJ)/Production(million$1995)
Resources-
Economy
17.00.00 FinalEnergyIntensity
TJ/$(1995) Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009 04/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.FinalEnergy
Consumption(TJ)/Production(million$1995)
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Landuse 18.00.00 Foodland kha (FAO)StatisticsDivision(ESS),EnvironmentStatisticsteam
http://www.fao.org/faostat/en/?#data/RL
1961-2014 28/04/2017 ITEM:Agriculturalarea
Landuse 19.00.00 Forestland Km2 WorldBankForestArea,World
Bank
http://data.worldbank.org/INDICATOR/AG.LND.FRST.K2?VIEW=CHART
1990-2015 21/04/2017 Forestareaislandundernaturalorplantedstandsoftreesofatleast5metersinsitu,
whetherproductiveornot,andexcludestreestandinagriculturalproductionsystems(forexample,infruitplantationsandagroforestrysystems)andtreesinurbanparksandgardens.
NALanduse 20.00.00 Biodiversity
protectionlandKm2 WorldBank http://data.worldbank.org/INDICAT
OR/ER.LND.PTLD.ZS
1990,2000,2014
02/05/2017 Terrestrialprotectedareasaretotallyorpartiallyprotectedareasofatleast1,000hectaresthataredesignatedbynational
authoritiesasscientificreserveswithlimitedpublicaccess,nationalparks,natural
monuments,naturereservesorwildlifesanctuaries,protectedlandscapes,andareasmanagedmainlyforsustainableuse.Marineareas,unclassifiedareas,littoral(intertidal)areas,andsitesprotectedunderlocalor
provinciallawareexcluded.Landuse 21.00.00 Urbanland
areaKm2 WorldBankUrban
LandArea,WorldBank
http://data.worldbank.org/INDICATOR/AG.LND.TOTL.UR.K2
1990,2000,2010
21/04/2017 Urbanlandareainmegahectares,basedonacombinationofpopulationcounts(persons),settlementpoints,andthepresenceofnight-timelights.Areasaredefinedasurbanwherecontiguouslightedcellsfromthenight-time
lightsorapproximatedurbanextentsbasedonbufferedsettlementpointsforwhichthetotal
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
populationisgreaterthan5,000persons.Urbannoturbanizedland,givesthesame
numberfor1990,2000and2010
Landuse 22.00.00 Biofuelandbioelectricity
land
Mha Capellánetal.Deliverable
D2.2.e.4(annex12)
NA 2008,2010
02/05/2017 Landforbiofuelestimationonlybiofuelsfromagriculture,bioelectricityissupposedfrom
wasteandforestresidues
Landuse 23.00.00 Arableandcropland,%
totallandarea
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014 17/04/2017
Landuse 24.00.00 Pasturesandmeadows,%totallandarea
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014 17/04/2017
Landuse 25.00.00 Forest,%totallandarea
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014 17/04/2017
Landuse 26.00.00 Otherland,%totallandarea
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014 17/04/2017
Energyconsumptionbysectors
27.00.00 FinalEnergyConsumption
(FEC)
EJ OwnelaborationwithdatafromtheIEAandWIOD
http://www.wiod.org/database/eas13
1995-2009 18/05/2017 SectorialaggregatedusingWIODandIEA.
Materials
28.00.00 Mineralproduction
ton UnitedStatesGeologicalSurvey
(USGS)
https://minerals.usgs.gov/minerals/pubs/mcs/
1994-2016 25/05/2017 Dataforyear2016isestimated.Lithium,MagnesiumandTitaniumexcludesU.S.production.Dataforhistoricalseriesfor
manganeseisalsoestimated.
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Materials
29.00.00 KgmaterialpernewMWinstalled
(constructionphase)
kg/newMW DeliverableMEDEAS
2015 25/05/2017 Technologyandmaterialdisaggregated.
Materials
30.00.00 KgmaterialpernewMWinstalled
(Operationandmaintenance)
kg/newMW DeliverableMEDEAS
2015 25/05/2017 Technologyandmaterialdisaggregated.
Materials
31.00.00 Initialenergyconsumptionperunitofmaterial
consumption
MJ/Kg DeliverableMEDEAS
2015 25/05/2017
Materials
31.01.00 Virgin MJ/Kg DeliverableMEDEAS
2015 25/05/2017 Virginmaterials.
Materials
31.02.00 Recycled MJ/Kg DeliverableMEDEAS
2015 25/05/2017 Recycledmaterials
Materials
32.00.00 Totalreserves Mt DeliverableMEDEAS
2015 25/05/2017 Forfurtherinformation,consultDeliverable2.2.c.2Materialdisaggregated.
Materials
33.00.00 TotalResources Mt DeliverableMEDEAS
2015 25/05/2017 Forfurtherinformation,consultDeliverable2.2.c.2.Materialdisaggregated.
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Emissionand
Climate
34.00.00 CO2emissionsfromdifferent
activities
GtCO2 ClimateChange2014
MitigationofClimateChangeWorkingGroupIIIContributiontotheFifthAssessmentReportofthe
IntergovernmentalPanelonClimate
Change
http://www.ipcc.ch/report/ar5/wg3/
1970,1980,1990,2000,2010
19/04/2017 Chapter5:Drivers,trendsandmitigationdatasourceFigure5.18(Page381)
Emissionand
Climate
34.01.00 TotalCO2emissionsfrom
fossilfuelconsumptionandcementproduction
GtCO2 CarbonDioxideInformation
AnalysisCenter(CDIAC)
http://cdiac.ornl.gov/ 1990-2013 18/04/2017
Emissionand
Climate
34.02.00 CO2emissionsfromcementproduction
GtCO2 GlobalCarbonProject
http://www.globalcarbonproject.org/CARBONBUDGET/16/data.htm
1960-2015 17/04/2017 Allvaluesinmilliontonnesofcarbonperyr(MtC/yr).1MtC=1milliontonneofcarbon=
3.664milliontonnesofCO2
Emissionand
Climate
34.03.00 LandusechangeCO2emissions
GtCO2 GlobalCarbonPorject
http://www.globalcarbonproject.org/CARBONBUDGET/16/data.htm
1960-2015 17/04/2017
Emissionand
Climate
34.04.00 LandusechangeCO2emissions
GtCO2 CarbonDioxideInformation
AnalysisCenter(CDIAC)
http://cdiac.ornl.gov/ 1990-2012 18/04/2017
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Emissionand
Climate
34.05.00 RESemissions GtCO2 OwnestimationwithdatafromIEACO2emissionsfromFUEL
COMBUSTIONHIGHLIGHTS2016
http://www.iea.org/media/statistics/CO2HIGHLIGHTS.XLS
http://www.iea.org/publications/freepublications/publication/CO2EmissionsfromFuelCombustion_Highlights
_2016.pdf
1971-2014 19/04/2017 ExceltableswithannualhistoricalseriesofCO2emissionsfromfuelcombustion.ThesedatarefertoCO2onlyemissions(notallGHG
emissions)andemissionsfromfuelcombustiononly(notfromallprocesses,i.e.fugitive
emissionsandemissionsfromCO2transportandstorage)
Emissionand
Climate
34.06.00 NonRESemissions
GtCO2 OwnestimationwithdatafromIEACO2emissionsfromFUEL
COMBUSTIONHIGHLIGHTS2016
http://www.iea.org/media/statistics/CO2HIGHLIGHTS.XLS
http://www.iea.org/publications/freepublications/publication/CO2EmissionsfromFuelCombustion_Highlights
_2016.pdf
1971-2014 19/04/2017 ExceltableswithannualhistoricalseriesofCO2emissionsfromfuelcombustion.ThesedatarefertoCO2onlyemissions(notallGHG
emissions)andemissionsfromfuelcombustiononly(notfromallprocesses,i.e.fugitive
emissionsandemissionsfromCO2transportandstorage)
Emissionand
Climate
35.00.00 Nitrousoxideemissions
thousandmetrictonsofCO2
equivalent
WorldBank.European
Commission,JointResearchCentre(JRC)/NetherlandsEnvironmentalAssessmentAgency(PBL).
EmissionDatabaseforGlobal
AtmosphericResearch(EDGAR):http://edgar.jrc.ec.
europa.eu/
http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators#
1970-2012 18/04/2017 Nitrousoxideemissionsareemissionsfromagriculturalbiomassburning,industrial
activities,andlivestockmanagement.DataarecalculatedinGtCO2eq
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Emissionand
Climate
36.00.00 INCREASEINTOTAL
RADIATIVEFORCINGINRELATIONTO
PRE-INDUSTRIAL
LEVELS
W/m2 TheNOAAAnnualGreenhouseGasIndex(AGGI).NOAAEarth
SystemResearchLaboratory,R/GMD,325Broadway,
Boulder,CO80305-3328
https://www.esrl.noaa.gov/gmd/aggi/aggi.html
1979-2015 18/04/2017
Emissionand
Climate
37.00.00 CH4EMISSIONS GtCO2eq WorldBank.European
Commission,JointResearchCentre(JRC)/NetherlandsEnvironmentalAssessmentAgency(PBL).
EmissionDatabaseforGlobal
AtmosphericResearch(EDGAR):http://edgar.jrc.ec.
europa.eu/
http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators#
1970-2012 18/04/2017 Methaneemissionsarethosestemmingfromhumanactivitiessuchasagricultureandfrom
industrialmethaneproduction.DataarecalculatedinGtCO2eq
Emissionand
Climate
38.00.00 CO2concentration
levels
ppm NASA.GlobalClimateChange
https://climate.nasa.gov/vital-signs/carbon-dioxide/
1960-2015 04/05/2017 Partspermillion(ppm)isthenumberofmoleculesofCO2ineveryonemillion
moleculesofdriedair(watervapourremoved).Emission
and39.00.00 Globalmean
temperatureºC NASA.Global
ClimateChangehttps://climate.nasa.gov/vital-signs/global-temperature/
1960-2015 04/05/2017 Changeinglobalsurfacetemperaturerelativeto1951-1980averagetemperatures
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
63
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Climate increase
Emissionand
Climate
40.00.00 GHGEmissions
Emissionand
Climate
40.01.00 ExcludingLand-UseChangeandForestry(Datosdeinputs.xls)
GtCO2eq CarbonDioxideInformation
AnalysisCenter(CDIAC)
http://cdiac.ornl.gov/ 1990-2012 10/05/2017
Emissionand
Climate
40.02.00 IncludingLand-UseChangeandForestry(Datosdeinputs.xls)
GtCO2eq CarbonDioxideInformation
AnalysisCenter(CDIAC)
http://cdiac.ornl.gov/ 1990-2012 10/05/2017
Emissionand
Climate
40.03.00 OtherGHGradforcing
W/m2 baselinescenariofromDICE-2013R
http://www.econ.yale.edu/~nordhaus/homepage/documents/DICE_Ma
nual_100413r1.pdf
1990-2015 20/04/2017
Emissionand
Climate
40.04.00 GtCO2perMtoeCTL
GtCO2/MJ BrandtandFarrell(2007)
http://rdcu.be/r5QG 1960-2015 19/05/2017
Emissionand
Climate
40.05.00 GtCO2perMtoeGTL
GtCO2/MJ BrandtandFarrell(2007)
http://rdcu.be/r5QG 1960-2015 19/05/2017
Emissionand
Climate
40.06.00 GtCO2perMtoecoal
GtCO2/MJ BPStatisticalReviewofWorldEnergy(2013)
http://www.rrojasdatabank.info/bpworld2013.pdf
1960-2015 19/05/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
64
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Emissionand
Climate
40.07.00 GTCO2perMtoeconvgas
GtCO2/MJ BPStatisticalReviewofWorldEnergy(2013)
http://www.rrojasdatabank.info/bpworld2013.pdf
1960-2015 19/05/2017
Emissionand
Climate
40.08.00 GTCO2perMtoeconvoil
GtCO2/MJ BPStatisticalReviewofWorldEnergy(2013)
http://www.rrojasdatabank.info/bpworld2013.pdf
1960-2015 19/05/2017
Emissionand
Climate
40.09.00 GtCO2perMtoeunconv
gas
GtCO2/MJ Howarth(2015)Fig.2
http://www.eeb.cornell.edu/howarth/publications/f_EECT-61539-
perspectives-on-air-emissions-of-methane-and-climatic-
warmin_100815_27470.pdf
1960-2015 19/05/2017
Emissionand
Climate
40.10.00 GtCO2perMtoeunconv
oil
GtCO2/MJ BrandtandFarrell(2007)
http://rdcu.be/r5QG 1960-2015 19/05/2017
Emissionand
Climate
40.11.00 GtCO2perMtoeshaleoil
GtCO2/MJ BrandtandFarrell(2007)
http://rdcu.be/r5QG 1960-2015 22/05/2017
Emissionand
Climate
40.12.00 GtCH4/MJconventionalgas(Datosdeinputs.xls)
GtCH4/MJ Howarth(2015)Fig2
http://www.eeb.cornell.edu/howarth/publications/f_EECT-61539-
perspectives-on-air-emissions-of-methane-and-climatic-
warmin_100815_27470.pdf
1960-2015 10/05/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
65
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Emissionand
Climate
40.13.00 GtCH4/MJunconventionalgas(Datosdeinputs.xls)
GtCH4/MJ Howarth(2015)Fig3
http://www.eeb.cornell.edu/howarth/publications/f_EECT-61539-
perspectives-on-air-emissions-of-methane-and-climatic-
warmin_100815_27470.pdf
1960-2015 10/05/2017
Emissionand
Climate
40.14.00 GtCH4/MJCoal(Datosdeinputs.xls)
GtCH4/MJ Howarth(2015)Fig4
http://www.eeb.cornell.edu/howarth/publications/f_EECT-61539-
perspectives-on-air-emissions-of-methane-and-climatic-
warmin_100815_27470.pdf
1960-2015 10/05/2017
Emissionand
Climate
40.15.00 GtCH4/MJoil(Datosdeinputs.xls)
GtCH4/MJ Howarth(2015)Fig5
http://www.eeb.cornell.edu/howarth/publications/f_EECT-61539-
perspectives-on-air-emissions-of-methane-and-climatic-
warmin_100815_27470.pdf
1960-2015 10/05/2017
Electricity
transformation
41.00.00 Hydroelectricitypumpedstoragecapacity
TWh U.S.EnergyInformation
Administrationand
IRENA
http://www.tsp-data-portal.org/Breakdown-of-Electricity-
Capacity-by-Energy-Source#tspQvChartand
http://resourceirena.irena.org/gateway/dashboard/?topic=3
subtopic=33
1980-2015 28/04/2017 U.S.EnergyInformationAdministration,(1980-2012)andIRENA(2013-2015)
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
66
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Electricity
transformation
42.00.00 Hydroelectricitypumped
storageenergyproduction
TWh U.S.EnergyInformation
Administration
http://www.tsp-data-portal.org/Historical-Electricity-Generation-Statistics#tspQvChart
1980-2014 28/04/2017 U.S.EnergyInformationAdministration,(1980-2014)
Electricity
generationfromRES
variables
43.00.00 Installedcapacityof
electricalRES
TWh IRENARESOURCEandown
estimations
http://resourceirena.irena.org/gateway/dashboard/?topic=3
subtopic=33
1990-2015 12/06/2017 TheIRENArenewableenergysourceofinformationresourcehasbecometheworld's
largestrepositoryoffreeinformationonrenewableenergy.Itenablesuserstoeasilyfindcountry-specificdata,createcustomizedchartsandgraphs,andcomparecountriesonsuchmetricsasrenewableenergyuseand
deployment.NaElectricit
ygenerationfromRES
variables
44.00.00 ELECTRICITYCOSTFROM
RES
2016$/kW IRENARESOURCE http://resourceirena.irena.org/gateway/dashboard/?topic=3
subtopic=33
2010,2016
12/06/2017 TheIRENArenewableenergysourceofinformationresourcehasbecometheworld's
largestrepositoryoffreeinformationonrenewableenergy.Itenablesuserstoeasilyfindcountry-specificdata,createcustomizedchartsandgraphs,andcomparecountriesonsuchmetricsasrenewableenergyuseand
deployment.Onlyavailableforyear2010and2015
Electricity
generationfromRES
variables
45.00.00 RESLIFETIME yr IPCC(2011) 2014 12/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
67
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
46.00.00 pctCHPplantsvstotalheat
output
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
47.00.00 PctgasinfossilCHPplants
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
48.00.00 PctsolidsinfossilCHPplants
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
49.00.00 PctliquidsinfossilCHPplants
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
50.00.00 Extractionresources
EJ Mohretal.2015andown
elaborationwithdatafromtheIEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
50.01.00 Unconventionaloil
EJ Mohretal.2015 http://www.sciencedirect.com/science/article/pii/S0016236114010254
1990-2012 22/06/2017
Energyhistoricaldata
50.02.00 Unconventionalgas
EJ Mohretal.2015 http://www.sciencedirect.com/science/article/pii/S0016236114010254
1990-2012 22/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
68
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
50.03.00 CTL EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
50.04.00 GTL EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
51.00.00 Shareresourcesbysector
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
51.01.00 ShareoilElec Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2010 22/06/2017
Energyhistoricaldata
51.02.00 Sharegasvs(coal+gas)Elec
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
52.00.00 Alternativetransport
Dmnl EVIandIANGV http://www.iangv.org/current-ngv-stats/
2005-2015 22/06/2017
Energyhistoricaldata
52.01.00 ShareBEV+HEV Dmnl EVI https://www.iea.org/publications/freepublications/publication/Global_E
V_Outlook_2016.pdf
2005-2015 22/06/2017 Table6
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
69
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
52.02.00 ShareNGV Dmnl IANGV http://www.iangv.org/current-ngv-stats/
2005-2012 22/06/2017
Energyhistoricaldata
53.00.00 AnnualgenerationliquidsRES
ktoe BP http://www.bp.com/en/global/corporate/energy-economics/statistical-
review-of-world-energy.html
1990-2015 22/06/2017
Energyhistoricaldata
53.01.00 Biofuels ktoe BP http://www.bp.com/en/global/corporate/energy-economics/statistical-
review-of-world-energy.html
1990-2015 22/06/2017
Energyhistoricaldata
54.00.00 CapacityinstalledRESfornon-
commercialheat
TWth Ownelaborationwithdatafromthe
IEA,SHC,Lund&Boyer
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
54.01.00 SolidbioE-heat TWth Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
54.02.00 Solarforheat TWth SHC2016andowncalculations
http://www.iea-shc.org/ 1990-2014 22/06/2017
Energyhistoricaldata
54.03.00 Geothermalforheat
TWth Lund&Boyer(2015)andowncalculation
Lund,JohnW.,andTonyaL.Boyd.“DirectUtilizationofGeothermal
Energy2015WorldwideReview.”InProceedingsWorldGeothermalCongress2015,31.Melbourne,
Australia,2015.
1990-2014 22/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
70
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
55.00.00 CapacityinstalledRES
forcommercialheat
TWth Ownelaborationwithdatafromthe
IEA,SHC,Lund&Boyerandowncalculation
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-enhttp://www.iea-shc.org/
1990-2014 22/06/2017
Energyhistoricaldata
55.01.00 SolidbioE-heat TWth Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
55.02.00 Solarforheat TWth SHC2016andowncalculations
http://www.iea-shc.org/ 1990-2014 22/06/2017
Energyhistoricaldata
55.03.00 Geothermalforheat
TWth Lund&Boyer(2015)andowncalculation
Lund,JohnW.,andTonyaL.Boyd.“DirectUtilizationofGeothermal
Energy2015WorldwideReview.”InProceedingsWorldGeothermalCongress2015,31.Melbourne,
Australia,2015.
1990-2014 22/06/2017
Energyhistoricaldata
56.00.00 Nucleargeneration
TWh
TWh Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
57.00.00 Efficiencygasforelectricity
% Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
71
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
58.00.00 Electricityconsumption
TWh Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1990-2014 22/06/2017
Energyhistoricaldata
59.00.00 Sharegasvs(coal+gas)heat
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
60.00.00 Nonenergyuse EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Energyhistoricaldata
60.01.00 Solids EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Energyhistoricaldata
60.02.00 Liquids EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Energyhistoricaldata
60.03.00 Gases EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Energyhistoricaldata
60.04.00 Electricity/Heat EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
72
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
61.00.00 Losses EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Energyhistoricaldata
61.01.00 Coalpctlosses EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Energyhistoricaldata
61.02.00 OILpctlosses EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Energyhistoricaldata
61.03.00 NATGASpctlosses
EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2009 22/06/2017
Energyhistoricaldata
62.00.00 Transformationlosses
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
62.01.00 pclossestransformationvsextractionoil
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
62.02.00 pclossestransformationvsextraction
coal
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
73
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
62.03.00 Ratiogaingasvslosesolidsintranfprocesses
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
63.00.00 TPESprimarysolidsbiofuels
EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
64.00.00 Waste EJ Industrialwaste+municipal
waste(renewable)+municipalewaste(non-renewable)OwnelaborationwithdatafromIEA
balances
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.00.00 Efficiencies Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.01.00 Heatplantsgas Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.02.00 ElecCHPplantsgas
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
74
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
65.03.00 HeatCHPplantsgas
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.04.00 Heatplantscoal
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.05.00 ElecCHPplantscoal
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.06.00 HeatCHPplantscoal
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.07.00 Heatplantsoil Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.08.00 ElecCHPplantsoil
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
65.09.00 HeatCHPplantsoil
Dmnl Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
75
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyhistoricaldata
66.00.00 LossesinCharcoalplants
EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
67.00.00 Peat EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Energyhistoricaldata
68.00.00 Biogases EJ Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1995-2014 22/06/2017
Historicconstant
s
69.00.00 BEV/HEVpastsharegrowth
% EVI2016 https://www.iea.org/publications/freepublications/publication/Global_E
V_Outlook_2016.pdf
1960-2015 28/06/2017
Historicconstant
s
70.00.00 NGVpastsharegrowth
% IANGV http://www.iangv.org/current-ngv-stats/
1960-2015 28/06/2017
Historicconstant
s
71.00.00 Biofuelspastgrowth
% BP(2016) http://www.bp.com/en/global/corporate/energy-economics/statistical-
review-of-world-energy.html
1960-2015 28/06/2017
Historicconstant
s
72.00.00 HistgrowthCTL % OwnestimationfromIEAbalances
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017
Historicconstant
s
73.00.00 HistgrowthGTL % OwnestimationfromIEAbalances
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
76
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
balances_enestats-data-en
Historicconstant
s
74.00.00 Hydropastcapacitygrowth
% IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri
1960-2015 28/06/2017
Historicconstant
s
75.00.00 Geothermalpastcapacity
growth
% IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri
1960-2015 28/06/2017
Historicconstant
s
76.00.00 SolidbioE-elec % IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri
1960-2015 28/06/2017
Historicconstant
s
77.00.00 Oceanicpastcapacitygrowth
% IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri
1960-2015 28/06/2017
Historicconstant
s
78.00.00 Windonshorepastcapacity
growth
% IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri
1960-2015 28/06/2017
Historicconstant
s
79.00.00 Windoffshorepastcapacity
growth
% IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri
1960-2015 28/06/2017
Historicconstant
s
80.00.00 SolarPVpastcapacitygrowth
% IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
77
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Historicconstant
s
81.00.00 CSPpastcapacitygrowth
% Ownelaborationbasedon
SolarPACESdata
https://www.nrel.gov/csp/solarpaces/
1960-2015 28/06/2017
Historicconstant
s
82.00.00 cumulatedconvoilextractionto
1995
EJ Mohretal.2015 http://www.sciencedirect.com/science/article/pii/S0016236114010254
1960-2015 28/06/2017
Historicconstant
s
83.00.00 cumulatedunconventionaloilextractionto
1995
EJ Mohretal.2015 http://www.sciencedirect.com/science/article/pii/S0016236114010254
1960-2015 28/06/2017
Historicconstant
s
84.00.00 cumulatedconvgasextraction
to1995
EJ Mohretal.2015 http://www.sciencedirect.com/science/article/pii/S0016236114010254
1960-2015 28/06/2017
Historicconstant
s
85.00.00 cumulatedunconventionalgasextraction
to1995
EJ Mohretal.2015 http://www.sciencedirect.com/science/article/pii/S0016236114010254
1960-2015 28/06/2017
Historicconstant
s
86.00.00 cumulatedcoalextractionto
1995
EJ Mohretal.2015 http://www.sciencedirect.com/science/article/pii/S0016236114010254
1960-2015 28/06/2017
Historicconstant
s
87.00.00 cumulateduranium
extractionto1995
EJ (EWG2006) http://www.ewg.org/ 1960-2015 28/06/2017
Historicconstant
s
88.00.00 pastsolargrowthforheat-com
% OwnestimationsfromIEAbalancesandSHC(2016)
SHC.“SolarHeatWorldwide.MarketsandContributiontothe
EnergySupply2014.”SolarHeating&CoolingProgrammeIEA,2016.
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
78
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Historicconstant
s
89.00.00 pastgeothermalgrowthforheat-com
% ownestimationsfromIEAbalancesandLund&Boyd
(2015)
Lund,JohnW.,andTonyaL.Boyd.“DirectUtilizationofGeothermal
Energy2015WorldwideReview.”InProceedingsWorldGeothermalCongress2015,31.Melbourne,
Australia,2015.
1960-2015 28/06/2017
Historicconstant
s
90.00.00 pastsolidbioE-heat-com
% Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017
Historicconstant
s
91.00.00 pastsolargrowthforheat-nc
% Ownelaborationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017
Historicconstant
s
92.00.00 pastgeothermalgrowthforheat-nc
% SHC2016andownestimations
SHC.“SolarHeatWorldwide.MarketsandContributiontothe
EnergySupply2014.”SolarHeating&CoolingProgrammeIEA,2016.
1960-2015 28/06/2017
Historicconstant
s
93.00.00 pastsolidbioE-heat-nc
% Lund&Boyer(2015)andown
estimation
Lund,JohnW.,andTonyaL.Boyd.“DirectUtilizationofGeothermal
Energy2015WorldwideReview.”InProceedingsWorldGeothermalCongress2015,31.Melbourne,
Australia,2015.
1960-2015 28/06/2017
Historicconstant
s
94.00.00 Cumulativeemissions1751-1995
GtC DatafromCDIACandWorld
ResourcesInstitut
http://cdiac.ornl.gov/ 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
79
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Renewable&NuclearEnergyParamet
ers
95.00.00 Powerdensity TWe/Mha Capellán-Pérezetal(2017)
http://www.sciencedirect.com/science/article/pii/S1364032117304720
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
95.01.00 Geothermal TWe/Mha Capellán-Pérezetal(2017)
http://www.sciencedirect.com/science/article/pii/S1364032117304720
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
95.02.00 Windonshore TWe/Mha Capellán-Pérezetal(2017)
http://www.sciencedirect.com/science/article/pii/S1364032117304720
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
95.03.00 SolarPV TWe/Mha deCastroetal.(2013)
http://www.sciencedirect.com/science/article/pii/S1364032113005807
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
95.04.00 Windoffshore TWe/Mha Capellán-Pérezetal(2017)
http://www.sciencedirect.com/science/article/pii/S1364032117304720
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
80
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
ers
Renewable&NuclearEnergyParamet
ers
95.05.00 Hydro TWe/Mha Capellán-Pérezetal(2017)
http://www.sciencedirect.com/science/article/pii/S1364032117304720
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
95.06.00 CSP TWe/Mha DeCastroetal(2013);DeCastro&Capellán-Pérez
(2017)
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
96.00.00 lifetime yr IPCC.SpecialReporton
RenewableEnergySourcesand
ClimateChangeMitigation.Edited
byOttmarEdenhofer,RafaelPichs-Madruga,YoubaSokona,KristinSeyboth,
PatrickMatschoss,SusanneKadner,TimmZwickel,et
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
81
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
al.UnitedKingdomandNewYork
(USA):CambridgeUniversityPress,
2011.http://srren.ipcc-wg3.de/report.
Renewable&NuclearEnergyParamet
ers
97.00.00 Capacityfactorinitial
Dmnl 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
97.01.00 Geothermal Dmnl REN212016 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
97.02.00 Solidbioenergyforelectricity
Dmnl Ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergy
97.03.00 Oceanic Dmnl Ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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82
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Parameters
Renewable&NuclearEnergyParamet
ers
97.04.00 Windonshore Dmnl Boccard(2009) http://www.sciencedirect.com/science/article/pii/S030142150900144X
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
97.05.00 SolarPV Dmnl BP(2016)andownestimation
http://www.bp.com/en/global/corporate/energy-economics/statistical-
review-of-world-energy.html
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
97.06.00 Windoffshore Dmnl ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
97.07.00 Hydro Dmnl IRENAandextrapolationfollowingEIA
(2009)
http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
83
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Renewable&NuclearEnergyParamet
ers
97.08.00 Nuclear Dmnl Ownelaborationwithdatafromthe
IEA
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
97.09.00 CSP Dmnl deCastro&Capellán-Pérez
(2017)
DeCastro,Carlos,andIñigoCapellán-Pérez.“AReviewoftheRealPerformanceofConcentrating
SolarPower.”WorkingPaper.UniversityofValladolid,2017.
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
97.10.00 solarforheat Dmnl Ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
97.11.00 geothermalforheat
Dmnl Ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
97.12.00 Solidbioenergyforheat
Dmnl ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
84
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
ers
Renewable&NuclearEnergyParamet
ers
98.00.00 investmentcost 1995T$/TW RES:Teskeetal(2011)Nuclear:(SchneiderandFroggatt,2014).
1995,2007,2015
28/06/2017
Renewable&NuclearEnergyParamet
ers
99.00.00 timeplanification
yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
99.01.00 Geothermal yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
99.02.00 Solidbioenergyforelectricity
yr ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
85
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Renewable&NuclearEnergyParamet
ers
99.03.00 Oceanic yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
99.04.00 Windonshore yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
99.05.00 SolarPV yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
99.06.00 Windoffshore yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
99.07.00 Hydro yr ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
86
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
ers
Renewable&NuclearEnergyParamet
ers
99.08.00 Nuclear yr Schneider&Frogatt(2016)
http://www.worldnuclearreport.org/
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
99.09.00 CSP yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
100.00.00 timeconstruction
yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
100.01.00 Geothermal yr ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
87
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Renewable&NuclearEnergyParamet
ers
100.02.00 Solidbioenergyforelectricity
yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
100.03.00 Oceanic yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
100.04.00 Windonshore yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
100.05.00 SolarPV yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
100.06.00 Windoffshore yr ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
88
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
ers
Renewable&NuclearEnergyParamet
ers
100.07.00 Hydro yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
100.08.00 Nuclear yr Schneider&Frogatt(2016)
http://www.worldnuclearreport.org/
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
100.09.00 CSP yr ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
101.00.00 minCp Dmnl ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
89
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Renewable&NuclearEnergyParamet
ers
101.01.00 Geothermal Dmnl ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
101.02.00 Solidbioenergyforelectricity
Dmnl ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
101.03.00 Oceanic Dmnl ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
101.04.00 Windonshore Dmnl ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
101.05.00 SolarPV Dmnl ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
90
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
ers
Renewable&NuclearEnergyParamet
ers
101.06.00 Windoffshore Dmnl ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
101.07.00 Hydro Dmnl ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
101.08.00 Nuclear Dmnl ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
101.09.00 CSP Dmnl ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
91
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Renewable&NuclearEnergyParamet
ers
102.00.00 EROIinitial Dmnl 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
102.01.00 Geothermal Dmnl Annex3fromMEDEASD2.1
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
102.02.00 Solidbioenergyforelectricity
Dmnl deCastroetal(2014)
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
102.03.00 Oceanic Dmnl ownestimation(Deliverable4.1)
1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
102.04.00 Hydro Dmnl Annex3fromMEDEASD2.1
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
92
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
ers
Renewable&NuclearEnergyParamet
ers
102.05.00 solarforheat Dmnl Ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
102.06.00 Solidbioenergyforheat
Dmnl Ownestimation 1960-2015 28/06/2017
Renewable&NuclearEnergyParamet
ers
103.00.00 EmploymentfactorsRES
jobyr/MW Energy[G]eneration2015,GreenpeaceandREN21(2017)
1960-2015 28/06/2017
Otherparamet
ers
104.00.00 Energysharesbysector
Dmnl OwnestimationwithdatafromIEA
Balances
1960-2015 28/06/2017
Otherparamet
ers
104.01.00 sharecurrenttrendsElecfor
Transp
Dmnl OwnestimationwithdatafromIEA
Balances
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
93
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Otherparamet
ers
104.02.00 futuresharegasvs
(coal+gas)forElec
Dmnl OwnestimationwithdatafromIEA
Balances
1960-2015 28/06/2017
Otherparamet
ers
105.00.00 Efficiencies Dmnl owncalculationsfromIEAbalances
1960-2015 28/06/2017
Otherparamet
ers
106.00.00 Energylosses Dmnl OwnestimationwithdatafromIEA
Balances
1960-2015 28/06/2017
Otherparamet
ers
106.01.00 Propelectricaldistribution
losses
Dmnl OwnestimationwithdatafromIEA
Balances
1960-2015 28/06/2017
Otherparamet
ers
106.02.00 proporgastransplosses
Dmnl OwnestimationwithdatafromIEA
Balances
1960-2015 28/06/2017
Otherparamet
ers
107.00.00 BioEnergy 1960-2015 28/06/2017
Otherparamet
ers
107.01.00 PEpcconsumptiontradbiomass
ref
EJ ownestimationderivedfromIEA
balances
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017
Otherparamet
ers
107.02.00 Peoplerelyingtradbiomass
ref
inhabitants (WEO,2010) 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
94
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Otherparamet
ers
107.03.00 Landproductivitybiofuels2ndgenEJMHa
EJ/Mha Mediavilla2013;deCastroetal(2014)andMEDEASD2.2
Task2.2.e.4
1960-2015 28/06/2017
Otherparamet
ers
107.04.00 BioEpotencialNPPmarginal
lands
EJ/yr Fieldetal.,2008 1960-2015 28/06/2017
Otherparamet
ers
107.05.00 ConvefficiencyfromNPPtobiofuels
Dmnl deCastro&Carpintero(2014).
1960-2015 28/06/2017
Otherparamet
ers
107.06.00 Landoccupationratiobiofuelsmargland
Mha/EJ Fieldetal.(2008) 1960-2015 28/06/2017
Otherparamet
ers
108.00.00 LifetimeRESThermal
yr ownestimation 1960-2015 28/06/2017
Otherparamet
ers
109.00.00 Alternativetransport
1960-2015 28/06/2017
Otherparamet
ers
109.01.00 technologicalmaxpctofchange
Dmnl ownestimation 1960-2015 28/06/2017
Otherparamet
ers
109.02.00 KliquidEEVTWhEJ
TWh/EJ EABEV,2008 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
95
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Otherparamet
ers
110.00.00 Gridreinforcement
costsref
1995$/kW Millsetal(2012) 1960-2015 28/06/2017
Otherparamet
ers
111.00.00 Oilrefinerygainsshare
Dmnl WEO(2010)givesa2.8%fortheyr
2009andBP(2007)2.6%.Thevalue2.7%istaken.
1960-2015 28/06/2017
Otherparamet
ers
112.00.00 TPEFpcthresholdhighdevelopment
GJ/inhabitants
Artoetal.,(2016) 1960-2015 28/06/2017
Otherparamet
ers
113.00.00 TPEDacceptable
standardliving
GJ/inhabitants
(Goldemberg,2011;Raoetal,
2014,WBGU,2003)
1960-2015 28/06/2017
Otherparamet
ers
114.00.00 Propheatdistribution
losses
Dmnl OwnestimationwithdatafromIEA
balances
1960-2015 28/06/2017
Otherparamet
ers
115.00.00 Waste Dmnl OwnestimationwithdatafromIEA
balances
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017
Otherparamet
ers
116.00.00 Biogas Dmnl OwnestimationwithdatafromIEA
balances
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
96
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Otherparamet
ers
117.00.00 Climateparameters
DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2013
1960-2015 28/06/2017
Otherparamet
ers
117.01.00 MarginalAtmosRetention
Dmnl DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2014
1960-2015 28/06/2017
Otherparamet
ers
117.02.00 initCO2inAtmosppm
ppm DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2015
1960-2015 28/06/2017
Otherparamet
ers
117.03.00 RateofCO2Transfer
% DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2016
1960-2015 28/06/2017
Otherparamet
ers
117.04.00 PreindustrialCO2
TonC DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2017
1960-2015 28/06/2017
Otherparamet
ers
117.05.00 CO2RadForceCoeff
W/m2 DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2018
1960-2015 28/06/2017
Otherparamet
ers
117.06.00 Transfercoefficientforlowerlevel
% DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2019
1960-2015 28/06/2017
Otherparamet
ers
117.07.00 HeatCapacityRatio
W/(m2*ºC) DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2020
1960-2015 28/06/2017
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97
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Otherparamet
ers
117.08.00 Climateequation
coefficientforupperlevel
ºC*meter*meter/(watt
*yr)
DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2021
1960-2015 28/06/2017
Otherparamet
ers
117.09.00 initAtmosUOceanTemp
ºC DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2022
1960-2015 28/06/2017
Otherparamet
ers
117.10.00 initDeepOceanTemp
ºC DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2023
1960-2015 28/06/2017
Otherparamet
ers
117.11.00 carbonbudget GtC IPCC2014 IPCC.“ClimateChange2014:MitigationofClimateChange.”Fifth
AssessmentReportoftheIntergovernmentalPanelonClimate
Change,2014.
1960-2015 28/06/2017
Otherparamet
ers
118.00.00 sharetradbiomassvssolidsin
households
Dmnl OwnestimationwithdatafromIEA
balances
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017
Otherparamet
ers
119.00.00 Efficiencysolarpanelsforheat
Dmnl SHC(2016) 1960-2015 28/06/2017
Otherparamet
ers
120.00.00 Lossessolarforheat
Dmnl Nielsen&WoLiM1.5
1960-2015 28/06/2017
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98
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Otherparamet
ers
121.00.00 Efficiencygeothermalfor
heat
Dmnl OwnestimationwithdatafromIEA
balances
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017 average1995-2015
Otherparamet
ers
122.00.00 EVbatteries 1960-2015 28/06/2017
Otherparamet
ers
122.01.00 Round-tripstorage
efficiencyEVbatteries
Dmnl Dale&Barnhart(2013)
http://pubs.rsc.org/en/content/articlelanding/2013/ee/c3ee41973h
1960-2015 28/06/2017
Otherparamet
ers
122.02.00 CpEVbatteriesforelecstorage
Dmnl Ownelaboration 1960-2015 28/06/2017
Otherparamet
ers
122.03.00 ESOIEVbatteries
Dmnl Ownelaboration 1960-2015 28/06/2017
Otherparamet
ers
122.04.00 WattiosperbatteryEV
kW/battery ownestimation 1960-2015 28/06/2017
Otherparamet
ers
123.00.00 Pumpedhydrostorage(PHS)
1960-2015 28/06/2017
Otherparamet
ers
123.01.00 Round-tripstorage
efficiencyPHS
Dmnl DenholmandMargolis,2008
1960-2015 28/06/2017
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99
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Otherparamet
ers
123.02.00 CpPHS Dmnl IRENAdatabase 1960-2015 28/06/2017
Otherparamet
ers
123.03.00 ESOIPHSfullpotential
Dmnl Ownestimation 1960-2015 28/06/2017
Otherparamet
ers
124.00.00 Materials Dmnl 1960-2015 28/06/2017
Otherparamet
ers
124.01.00 Maxrecyclingratesminerals
Dmnl (Ragnarsdóttiretal.,2012)
1960-2015 28/06/2017
Otherparamet
ers
124.02.00 ShareofHeatoutputvs
electricityinnuclear
Dmnl OwnestimationwithdatafromIEA
balances
1960-2015 28/06/2017
Otherparamet
ers
125.00.00 EROINREfuels Dmnl datosadhocodeHalletal(2014)
1960-2015 28/06/2017
Otherparamet
ers
126.00.00 Heatdemand Dmnl Ownestimationwithdatafromthe
IEA
http://www.oecd-ilibrary.org/energy/data/iea-world-
energy-statistics-and-balances_enestats-data-en
1960-2015 28/06/2017
Otherparamet
ers
127.00.00 LifetimeCTL yr ownestimation 1960-2015 28/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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100
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Otherparamet
ers
128.00.00 LifetimeGTL yr ownestimation 1960-2015 28/06/2017
Transport
129.00.00 Householdvehicles
millionvehicles
Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
2015 26/06/2017
Transport
130.00.00 Commercialvehicles
millionvehicles
Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
2015 26/06/2017
Transport
131.00.00 Shareofhouseholdvehicles
% Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
2015 26/06/2017
Transport
132.00.00 Shareofcommercialvehicles
% Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
2015 26/06/2017
Transport
133.00.00 EnergyusedinHouseholdsvehicles
EJ Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
2015 26/06/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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101
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Transport
134.00.00 Energyusedincommercialvehicles
EJ Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
2015 26/06/2017
Transport
135.00.00 Savingratiosofalternative
HOUSEHOLDSvehiclesrelativeto
liquidsvehicles
Dmnl Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
1960-2015 26/06/2017
Transport
136.00.00 Savingratiosofalternativecommercialvehiclesrelativeto
liquidsvehicles
Dmnl Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
1960-2015 26/06/2017
Transport
137.00.00 Batteriesratio Dmnl Ownelaborationwithdatafromthe
IEA
https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf
1960-2015 26/06/2017
Scenarios
138.00.00 Trenddemand(allsectors)
Ownestimation 2016 05/07/2017
Scenarios
138.01.00 Pvariationtrenddemandhouseholds
Dmnl Ownestimation 2016 05/07/2017
Scenarios
138.02.00 Plabourshare Dmnl Ownestimation 2016 05/07/2017
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102
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Scenarios
139.00.00 Waste Ownestimation 2016 05/07/2017
Scenarios
139.01.00 maxwaste EJ Ownestimation 2016 05/07/2017
Scenarios
139.02.00 Pwastechange annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
140.00.00 Intensities Ownestimation 2016 05/07/2017
Scenarios
140.01.00 Minenergyintensityvs
initial
Dmnl Ownestimation 2016 05/07/2017
Scenarios
141.00.00 Minerals Ownestimation 2016 05/07/2017
Scenarios
141.01.00 PrecyclingmineralsRest
annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
141.02.00 Precyclingmineralsalternativetechnologies(RESelec&EVbatteries)
annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
142.00.00 Nuclear Ownestimation 2016 05/07/2017
Scenarios
142.01.00 Selectionofnuclearscenario
Dmnl Ownestimation 2016 05/07/2017 Possiblescenarios:1.Constantpowercapacityatcurrentlevels.2.Nomorenuclearinstalled,currentcapacitydepreciates.3.Growthof
nuclearpower.4.Phase-outofnuclearpowerScenario
s143.00.00 Techno-
ecological Ownestimation 2016 05/07/2017
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103
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
potentialelectricRES
Scenarios
143.01.00 maxhydro TWe Ownestimation 2016 05/07/2017
Scenarios
143.02.00 maxPEgeot-elec
TWth Ownestimation 2016 05/07/2017
Scenarios
143.03.00 maxoceanic TWe Ownestimation 2016 05/07/2017
Scenarios
143.04.00 maxonshorewind
TWe Ownestimation 2016 05/07/2017
Scenarios
143.05.00 maxoffshorewind
TWe Ownestimation 2016 05/07/2017
Scenarios
143.06.00 maxsolaronland(PVand
CSP)
Mha Ownestimation 2016 05/07/2017
Scenarios
143.07.00 maxpotentialPHS
TWe Ownestimation 2016 05/07/2017
Scenarios
144.00.00 ProjectionelectricRES
Ownestimation 2016 05/07/2017
Scenarios
144.01.00 Phydrogrowth vspasttrends
Ownestimation 2016 05/07/2017
Scenarios
144.02.00 Pgeot-elecgrowth
vspasttrends
Ownestimation 2016 05/07/2017
Scenarios
144.03.00 PsolidbioE-elecgrowth
vspasttrends
Ownestimation 2016 05/07/2017
Scenarios
144.04.00 Poceanic annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
144.05.00 Ponshorewind annualgrowth%
Ownestimation 2016 05/07/2017
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104
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Scenarios
144.06.00 Pwindoffshore annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
144.07.00 PsolarPV annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
144.08.00 PCSP annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
145.00.00 BioEnergy Ownestimation 2016 05/07/2017
Scenarios
145.01.00 Pbiofuels2gen annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
145.02.00 Additionallandcompet
availableforbiofuels
Mha Ownestimation 2016 05/07/2017
Scenarios
145.03.00 Pbiofuels3gen annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
145.04.00 startyr3gen yr Ownestimation 2016 05/07/2017
Scenarios
145.05.00 Annualshiftfrom2gento
3gen
Dmnl Ownestimation 2016 05/07/2017
Scenarios
145.06.00 startyrbiofuelslandmarg
yr Ownestimation 2016 05/07/2017
Scenarios
145.07.00 PbioEresiduesforheat+elec
annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
145.08.00 startyrBioEresiduesforheat+elec
yr Ownestimation 2016 05/07/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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105
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Scenarios
145.09.00 Pcellulosicbiofuels
annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
145.10.00 startyrcellulosicbiofuels
yr Ownestimation 2016 05/07/2017
Scenarios
145.11.00 sharecellulosicbiofuelsvsBioE
residues
Dmnl Ownestimation 2016 05/07/2017
Scenarios
145.12.00 evolbiogases vspasttrends
Ownestimation 2016 05/07/2017
Scenarios
145.13.00 Maxbiogases EJ Ownestimation 2016 05/07/2017
Scenarios
145.14.00 MaxpotentialthermalBioEconventional
EJ Ownestimation 2016 05/07/2017
Scenarios
145.15.00 MaxNPPpotentialBioEresiduesfor
heat
EJ Ownestimation 2016 05/07/2017
Scenarios
146.00.00 Techno-ecological
potentialRESforheat
Ownestimation 2016 05/07/2017
Scenarios
146.01.00 FEsolarthermalpotential
EJ Ownestimation 2016 05/07/2017
Scenarios
146.02.00 GeotPEpotentialforheatTWth
TWth Ownestimation 2016 05/07/2017
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106
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Scenarios
147.00.00 ProjectionRESforheat
Ownestimation 2016 05/07/2017
Scenarios
147.01.00 Psolarforheat annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
147.02.00 Pgeothermalforheat
annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
147.03.00 PsolidbioEforheat
annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
148.00.00 Alternativetransport
Ownestimation 2016 05/07/2017
Scenarios
148.01.00 PBEVgrowth annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
148.02.00 PHEVgrowth annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
148.03.00 PNGVgrowth annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
149.00.00 Afforestation Ownestimation 2016 05/07/2017
Scenarios
149.01.00 Activateafforestationprogram
Dmnl Ownestimation 2016 05/07/2017 1=Yes;0=No
Scenarios
150.00.00 ResourcesOil Ownestimation 2016 05/07/2017
Scenarios
150.01.00 Selectionofconvoilcurve
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Maggio12middle.2.Maggio12High.3.Maggio12Low.4.Userdefinedin
'139A'Scenario
s150.02.00 Selectionof
unconvoilcurve
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Mohr15BG.2.Mohr15Low.3.Mohr15High.4.Userdefinedin'141A'
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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107
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Scenarios
150.03.00 Selectionoftotaloilcurve
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Laherrère2006.2.Userdefinedin'143A'
Scenarios
150.04.00 Selectionconstraintextractionunconvoil
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Userconstant(annualgrowth%).2.Userdefinedasfunctionoftime
'161A'
Scenarios
151.00.00 ResourcesGas Ownestimation 2016 05/07/2017
Scenarios
151.01.00 Selectionofconvgascurve
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.BGMohr15.2.LowMohr15.3.HighMohr15.4.Userdefinedin'146A'
Scenarios
151.02.00 Selectionofunconventional
gascurve
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Mohr15BG.2.Mohr15Low.3.Mohr15High.4.Userdefinedin'148A'
Scenarios
151.03.00 Selectionoftotalgascurve
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Laherrére10.2.Mohr12BG.3.Userdefinedin'150A'
Scenarios
151.04.00 Selectionconstraintextractionunconvgas
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Userconstant(annualgrowth%).2.Userdefinedasfunctionoftime
'163A'
Scenarios
152.00.00 ResourcesCoal Ownestimation 2016 05/07/2017
Scenarios
152.01.00 Selectionofcoalcurve
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Mohr12high.2.Mohr15low.3.Mohr15BG.4.Mohr15high.5.Userdefinedin
'153A'.Scenario
s153.00.00 Resources
Uranium Ownestimation 2016 05/07/2017
Scenarios
153.01.00 Selectionofuraniumcurve
Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.EWG13.2.Zittel12.3.Userdefinedin'156A'
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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108
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Scenarios
154.00.00 CTL Ownestimation 2016 05/07/2017
Scenarios
154.01.00 PCTL(annualgrowth%)
annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
155.00.00 GTL Ownestimation 2016 05/07/2017
Scenarios
155.01.00 PGTL(annualgrowth%)
annualgrowth%
Ownestimation 2016 05/07/2017
Scenarios
156.00.00 Climate Ownestimation 2016 05/07/2017
Scenarios
156.01.00 ClimateSensitivity
ºC Ownestimation 2016 05/07/2017
Scenarios
157.00.00 CCimpacts Ownestimation 2016 05/07/2017
Scenarios
157.01.00 ActivateELF? Dmnl Ownestimation 2016 05/07/2017 1=Yes;0=No
Scenarios
158.00.00 Policiestoreduceoil
contributioninheatandelectricitylinearly
followinglineardecreasing
trend
Ownestimation 2016 05/07/2017
Scenarios
158.01.00 Reduceoilforelectricity?
Dmnl Ownestimation 2016 05/07/2017 1:YES;0:constantcurrentshare
Scenarios
158.02.00 Reduceoilforheat?
Dmnl Ownestimation 2016 05/07/2017 1:YES;0:constantcurrentshare
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ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
109
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
1.00.00 GDP(Finaldemand)
million$(1995)
WIOD http://www.wiod.org/database/wiots13
1995-2009
17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoral
disaggregated.Chainedvolumesprices(1995)onthebasisofIOTatpreviousyear
prices.Socioecon
omic2.00.00 Production million$(
1995)WIOD http://www.wiod.org/database/
wiots131995-2009
17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoral
disaggregated.Chainedvolumesprices(1995)onthebasisofIOTatpreviousyear
prices.Socioecon
omic3.00.00 Inequality
indicators% WIOD-Socio
EconomicAccountshttp://www.wiod.org/database/s
eas131995-2009
17/05/2017 Owncalculations.Incomeshare:factorincome/GDP
Socioeconomic
3.01.00 LabourshareinGDP
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
26/04/2017 Owncalculations.Labourcompensation/GDP.
Socioeconomic
3.02.00 ProfitshareinGDP
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
26/04/2017 Owncalculations.Capitalcompensation/GDP.
Socioeconomic
4.00.00 Income million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017 Originalsourceincurrentpricesandnationalcurrency.RateexchangeinWIOD-SEA.
Worldaggregated.Assumption:Restofthe
ANNEXII.EUROPEMEDEASMETADATA
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110
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Worldregionhasthesameprimaryincomedistribution.
Socioeconomic
4.01.00 Labourcompensat
ion
million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017
Socioeconomic
4.02.00 Capitalcompensat
ion
million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017
Socioeconomic
5.00.00 Population inhabitants
WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
6.00.00 Lifeexpectancyatbith
years WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
7.00.00 Urbanpopulation
inhabitants
WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
8.00.00 Ruralpopulation
inhabitants
WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
9.00.00 Unemploymentrate
%oftotallabourforce
WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1991-2016
21/04/2017
Socioeconomic
10.00.00 Energydependenc
y
% WorldBankGroup http://data.worldbank.org/indicator/EG.IMP.CONS.ZS
1960-2014
16/05/2017 Netenergyimports/Energyuse.Anegativevalueindicatesthatthecountryisanet
exporter.
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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111
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
11.00.00 Technicalcoefficient
s
Ratioinput
($)/output($)
WIOD http://www.wiod.org/database/wiots13
1995-2009
17/05/2017 OnceworldInput-Outputtableiscompiledat1995prices,weobtaintheratiobetweenthesectoraltransactionandtheoutputby
columns.Socioecon
omic12.00.00 Final
energyconsumptionpercapita
kgoe/capita
OwnelaborationbasedondatafromtheIEA
http://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE
1971-2014
21/04/2017
Resources-Economy
13.00.00 Waterconsumpti
on
m3/yr WIOD-Environmental
Accounts
http://www.wiod.org/database/eas13
1995-2009
28/04/2017 Worldaggregated.
Resources-Economy
14.00.00 Waterintensity
m3/$(1995)
Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009
28/04/2017 Owncalculations.Owncalculations:Waterconsumption(m3)/Production(million$
1995)
Resources-Economy
15.00.00 Materialconsumpti
on
ton/hab*yr
FriendsOfTheEarthAustria
Overconsumption?OuruseoftheWorld'snatural
resources
https://www.foe.co.uk/sites/default/files/downloads/overconsum
ption.pdf
19801985199019902000
28/04/2017
Resources-Economy
16.00.00 PrimaryEnergyIntensity
TJ/$(1995)
Owncalculationsonthebasisof
WIOD-
http://www.wiod.org/database/eas13
1995-2009
08/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.PrimaryEnergyConsumption(TJ)/Production(million$
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
112
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Environmentalaccounts
1995)
Resources-Economy
17.00.00 FinalEnergyIntensity
TJ/$(1995)
Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009
04/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.FinalEnergyConsumption(TJ)/Production(million$
1995)
Landuse 18.00.00 Foodland kHa Nations(FAO)StatisticsDivision(ESS),EnvironmentStatisticsteam
http://www.fao.org/faostat/en/?#data/RL
1961-2014
28/04/2017 ITEM:Agriculturalarea
Landuse 19.00.00 Forestland km2 WorldBankForestArea,WorldBank
http://data.worldbank.org/INDICATOR/AG.LND.FRST.K2?VIEW=CH
ART
1990-2015
21/04/2017 Forestareaislandundernaturalorplantedstandsoftreesofatleast5metersinsitu,whetherproductiveornot,andexcludestreestandsinagriculturalproduction
systems(forexample,infruitplantationsandagroforestrysystems)andtreesinurban
parksandgardens.NALanduse 20.00.00 Biodiversit
yprotection
land
km2 WorldBankTerrestrial
ProtectedAreas,WorldBank
http://data.worldbank.org/INDICATOR/ER.LND.PTLD.ZS
1990,2000,2014
02/05/2017 Terrestrialprotectedareasaretotallyorpartiallyprotectedareasofatleast1,000hectaresthataredesignatedbynational
authoritiesasscientificreserveswithlimitedpublicaccess,nationalparks,natural
monuments,naturereservesorwildlifesanctuaries,protectedlandscapes,andareasmanagedmainlyforsustainableuse.Marine
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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113
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
areas,unclassifiedareas,littoral(intertidal)areas,andsitesprotectedunderlocalor
provinciallawareexcluded.Landuse 21.00.00 Urbanland
areakm2 WorldBankUrban
LandAreahttp://data.worldbank.org/INDIC
ATOR/AG.LND.TOTL.UR.K21990,2000,2010
21/04/2017 Urbanlandareainmegahectares,basedonacombinationofpopulationcounts(persons),settlementpoints,andthepresenceofnight-timelights.Areasare
definedasurbanwherecontiguouslightedcellsfromthenight-timelightsor
approximatedurbanextentsbasedonbufferedsettlementpointsforwhichthetotalpopulationisgreaterthan5,000
persons.Urbannoturbanizedland,givesthesamenumberfor1990,2000and2010
Landuse 22.00.00 Biofueland
bioelectricityland
Mha CAPELLÁNETAL.DELIVERABLE
D2.2.E.4(ANNEX12)
NA 2008,2010
02/05/2017 Landforbiofuelestimationonlybiofuelsfromagriculture,bioelectricityissupposed
fromwasteandforestresidues
Landuse 23.00.00 Arableandcropland,%totallandarea
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Landuse 24.00.00 Pasturesand
meadows,%total
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
114
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
landarea
Landuse 25.00.00 Forest,%totalland
area
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Landuse 26.00.00 Otherland,%totalland
area
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Energyconsumpti
onbysectors
27.00.00 FinalEnergy
Consumption(FEC)
EJ Ownelaborationbasedondata
fromtheIEAandWIOD
http://www.wiod.org/database/eas13
1995-2009
18/05/2017 SectorallyaggregatedusingWIODandIEA.
Commerce 28.00.00 Totalcommerce
(constant2010US$)
Datacomex http://datacomex.comercio.es/principal_comex_ue.aspx
1970-2015
18/05/2017
Energy 29.00.00 Energyexchange
TJ Eurostats http://ec.europa.eu/eurostat/web/energy/data/database
1990-2014
18/05/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
115
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
1.00.00 GDP(Finaldemand)
million$(1995)
WIOD http://www.wiod.org/database/wiots13
1995-2009
17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoral
disaggregated.Chainedvolumesprices(1995)onthebasisofIOTatpreviousyear
prices.Socioecon
omic2.00.00 Production million
$(1995)WIOD http://www.wiod.org/database/
wiots131995-2009
17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoral
disaggregated.Chainedvolumesprices(1995)onthebasisofIOTatpreviousyear
prices.Socioecon
omic3.00.00 Inequality
indicators% WIOD-Socio
EconomicAccountshttp://www.wiod.org/database/s
eas131995-2009
17/05/2017 Owncalculations.Incomeshare:factorincome/GDP
Socioeconomic
3.01.00 LabourshareinGDP
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
26/04/2017 Owncalculations.Labourcompensation/GDP.
Socioeconomic
3.02.00 ProfitshareinGDP
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
26/04/2017 Owncalculations.Capitalcompensation/GDP.
Socioeconomic
4.00.00 Income million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017 Originalsourceincurrentpricesandnationalcurrency.RateexchangeinWIOD-SEA.
Worldaggregated.Assumption:Restofthe
ANNEXIII.AUSTRIAMEDEASMETADATA
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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116
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Worldregionhasthesameprimaryincomedistribution.
Socioeconomic
4.01.00 Labourcompensatio
n
million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017
Socioeconomic
4.02.00 Capitalcompensatio
n
million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017
Socioeconomic
5.00.00 Population inhabitants
WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
6.00.00 Lifeexpectancyatbirth
years WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
7.00.00 Urbanpopulation
inhabitants
WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
8.00.00 Ruralpopulation
inhabitants
WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
9.00.00 Unemploymentrate
%oftotallabourforce
WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1991-2016
21/04/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
117
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
10.00.00 Energydependency
% WorldBankGroup http://data.worldbank.org/indicator/EG.IMP.CONS.ZS
1960-2014
16/05/2017 Netenergyimports/Energyuse.Anegativevalueindicatesthatthecountryisanet
exporter.Socioecon
omic11.00.00 Technical
coefficientsRatioinput($)/output($)
WIOD http://www.wiod.org/database/wiots13
1995-2009
17/05/2017 OnceworldInput-Outputtableiscompiledat1995prices,weobtaintheratiobetweenthesectoraltransactionandtheoutputby
columns.Socioecon
omic12.00.00 Finalenergy
consumptionpercapita
kgoe/capita
OwnelaborationbasedondatafromtheIEA
http://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE
1971-2014
21/04/2017
Resources-Economy
13.00.00 Waterconsumptio
n
m3/yr WIOD-Environmental
Accounts
http://www.wiod.org/database/eas13
1995-2009
28/04/2017 Worldaggregated.
Resources-Economy
14.00.00 Waterintensity
m3/$(1995)
Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009
28/04/2017 Owncalculations.Owncalculations:Waterconsumption(m3)/Production(million$
1995)
Resources-Economy
15.00.00 Materialconsumptio
n
ton/hab*yr
FriendsOfTheEarthAustria
Overconsumption?OuruseoftheWorld'snatural
resources
https://www.foe.co.uk/sites/default/files/downloads/overconsum
ption.pdf
19801985199019902000
28/04/2017
Resources-Economy
16.00.00 PrimaryEnergy
TJ/$(1995)
Owncalculationsonthebasisof
http://www.wiod.org/database/eas13
1995-2009
08/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.PrimaryEnergy
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
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118
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Intensity WIOD-Environmental
accounts
Consumption(TJ)/Production(million$1995)
Resources-Economy
17.00.00 FinalEnergyIntensity
TJ/$(1995)
Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009
04/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.FinalEnergyConsumption(TJ)/Production(million$
1995)
Landuse 18.00.00 Foodland kHa FoodandAgriculture
OrganizationoftheUnitedNations
(FAO)StatisticsDivision(ESS),EnvironmentStatisticsteam
http://www.fao.org/faostat/en/?#data/RL
1961-2014
28/04/2017 ITEM:Agriculturalarea
Landuse 19.00.00 Forestland km2 WorldBankForestArea,WorldBank
http://data.worldbank.org/INDICATOR/AG.LND.FRST.K2?VIEW=CH
ART
1990-2015
21/04/2017 Forestareaislandundernaturalorplantedstandsoftreesofatleast5metersinsitu,whetherproductiveornot,andexcludestreestandsinagriculturalproduction
systems(forexample,infruitplantationsandagroforestrysystems)andtreesinurban
parksandgardens.NALanduse 20.00.00 Biodiversity
protectionland
km2 WorldBankTerrestrial
ProtectedAreas,
http://data.worldbank.org/INDICATOR/ER.LND.PTLD.ZS
1990,2000,2014
02/05/2017 Terrestrialprotectedareasaretotallyorpartiallyprotectedareasofatleast1,000hectaresthataredesignatedbynational
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
119
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
WorldBank authoritiesasscientificreserveswithlimitedpublicaccess,nationalparks,natural
monuments,naturereservesorwildlifesanctuaries,protectedlandscapes,andareasmanagedmainlyforsustainableuse.Marineareas,unclassifiedareas,littoral(intertidal)areas,andsitesprotectedunderlocalor
provinciallawareexcluded.Landuse 21.00.00 Urbanland
areakm2 WorldBankUrban
LandAreahttp://data.worldbank.org/INDIC
ATOR/AG.LND.TOTL.UR.K21990,2000,2010
21/04/2017 Urbanlandareainmegahectares,basedonacombinationofpopulationcounts(persons),settlementpoints,andthepresenceofnight-timelights.Areasare
definedasurbanwherecontiguouslightedcellsfromthenight-timelightsor
approximatedurbanextentsbasedonbufferedsettlementpointsforwhichthetotalpopulationisgreaterthan5,000
persons.Urbannoturbanizedland,givesthesamenumberfor1990,2000and2010
Landuse 22.00.00 Biofuelandbioelectricit
yland
Mha Capellánetal.Deliverable
D2.2.e.4(annex12)
NA 2008,2010
02/05/2017 Landforbiofuelestimationonlybiofuelsfromagriculture,bioelectricityissupposed
fromwasteandforestresiduesLanduse 23.00.00 Arableand
cropland,%totalland
area
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
120
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Landuse 24.00.00 Pasturesandmeadows,%totalland
area
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Landuse 25.00.00 Forest,%totalland
area
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Landuse 26.00.00 Otherland,%totalland
area
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Energyconsumpti
onbysectors
27.00.00 FinalEnergyConsumptio
n(FEC)
EJ Ownelaborationbasedondata
fromtheIEAandWIOD
http://www.wiod.org/database/eas13
1995-2009
18/05/2017 SectorallyaggregatedusingWIODandIEA.
Commerce 28.00.00 Totalcommerce
Chainedlinkedvolume
s(2010),millioneuro
Datacomex http://datacomex.comercio.es/principal_comex_ue.aspx
2006-2015
18/05/2017
Commerce 29.00.00 IntraEU28Trade
Chainedlinkedvolume
s(2010),
Datacomex http://datacomex.comercio.es/principal_comex_ue.aspx
2008-2015
18/05/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
121
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
millioneuro
Commerce 30.00.00 ExtraEU28Trade
Chainedlinkedvolume
s(2010),millioneuro
Datacomex http://datacomex.comercio.es/principal_comex_ue.aspx
2008-2015
18/05/2017
Energy 31.00.00 Energyexchange
TJ Eurostats http://ec.europa.eu/eurostat/web/energy/data/database
1990-2014
18/05/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
122
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
1.00.00 GDP(Finaldemand)
million$(1995)
WIOD http://www.wiod.org/database/wiots13
1995-2009
17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedand
sectoraldisaggregated.Chainedvolumesprices(1995)onthebasisofIOTat
previousyearprices.Socioecon
omic2.00.00 Productio
nmillion$(1
995)WIOD http://www.wiod.org/database/
wiots131995-2009
17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedand
sectoraldisaggregated.Chainedvolumesprices(1995)onthebasisofIOTat
previousyearprices.Socioecon
omic3.00.00 Inequality
indicators% WIOD-Socio
EconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017 Owncalculations.Incomeshare:factorincome/GDP
Socioeconomic
3.01.00 LabourshareinGDP
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
26/04/2017 Owncalculations.Labourcompensation/GDP.
Socioeconomic
3.02.00 ProfitshareinGDP
% WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
26/04/2017 Owncalculations.Capitalcompensation/GDP.
Socioeconomic
4.00.00 Income million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017 Originalsourceincurrentpricesandnationalcurrency.RateexchangeinWIOD-SEA.Worldaggregated.Assumption:Rest
ANNEXIV.BULGARIAMEDEASMETADATA
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
123
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
oftheWorldregionhasthesameprimaryincomedistribution.
Socioeconomic
4.01.00 Labourcompensa
tion
million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017
Socioeconomic
4.02.00 Capitalcompensa
tion
million$(1995)
WIOD-SocioEconomicAccounts
http://www.wiod.org/database/seas13
1995-2009
17/05/2017
Socioeconomic
5.00.00 Population inhabitants
WorldBankGroupWorldDevelopmentIndicators
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
6.00.00 Lifeexpectancyatbirth
years WorldBankGroupWorldDevelopmentIndicators
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
7.00.00 Urbanpopulation
inhabitants
WorldBankGroupWorldDevelopmentIndicators
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Socioeconomic
8.00.00 Ruralpopulation
inhabitants
WorldBankGroupWorldDevelopmentIndicators
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1960-2015
21/04/2017
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
124
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Socioeconomic
9.00.00 Unemploymentrate
%oftotallabourforce
WorldBankGroupWorldDevelopmentIndicators
http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#
1991-2016
21/04/2017
Socioeconomic
10.00.00 Energydependen
cy
% WorldBankGroup
http://data.worldbank.org/indicator/EG.IMP.CONS.ZS
1960-2014
16/05/2017 Netenergyimports/Energyuse.Anegativevalueindicatesthatthecountryisanet
exporter.Socioecon
omic11.00.00 Technical
coefficients
Ratioinput
($)/output($)
WIOD http://www.wiod.org/database/wiots13
1995-2009
17/05/2017 OnceworldInput-Outputtableiscompiledat1995prices,weobtaintheratio
betweenthesectoraltransactionandtheoutputbycolumns.
Socioeconomic
12.00.00 Finalenergy
consumptionpercapita
kgoe/capita
OwnelaborationbasedondatafromtheIEA
http://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE
1971-2014
21/04/2017
Resources-Economy
13.00.00 Waterconsumpti
on
m3/yr WIOD-Environmental
Accounts
http://www.wiod.org/database/eas13
1995-2009
28/04/2017 Worldaggregated.
Resources-Economy
14.00.00 Waterintensity
m3/$(1995)
Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009
28/04/2017 Owncalculations.Owncalculations:Waterconsumption(m3)/Production(million$
1995)
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
125
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Resources-Economy
15.00.00 Materialconsumpti
on
ton/hab*yr
FriendsOfTheEarthAustria
Overconsumption?OuruseoftheWorld'snatural
resources
https://www.foe.co.uk/sites/default/files/downloads/overconsu
mption.pdf
19801985199019902000
28/04/2017
Resources-Economy
16.00.00 PrimaryEnergyIntensity
TJ/$(1995) Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009
08/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.PrimaryEnergyConsumption(TJ)/Production(million$
1995)
Resources-Economy
17.00.00 FinalEnergyIntensity
TJ/$(1995) Owncalculationsonthebasisof
WIOD-Environmental
accounts
http://www.wiod.org/database/eas13
1995-2009
04/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.FinalEnergyConsumption(TJ)/Production(million$
1995)
Landuse 18.00.00 Foodland kHa FoodandAgriculture
OrganizationoftheUnited
Nations(FAO)StatisticsDivision
(ESS),EnvironmentStatisticsteam
http://www.fao.org/faostat/en/?#data/RL
1961-2014
28/04/2017 ITEM:Agriculturalarea
Pg.MarítimdelaBarceloneta,37-4908003Barcelonawww.medeas.euinfo@medeas.euT+34932309500F+34932309555
ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287
126
Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Landuse 19.00.00 Forestland
km2 WorldBankForestArea,WorldBank
http://data.worldbank.org/INDICATOR/AG.LND.FRST.K2?VIEW=CH
ART
1990-2015
21/04/2017 Forestareaislandundernaturalorplantedstandsoftreesofatleast5metersinsitu,whetherproductiveornot,andexcludestreestandsinagriculturalproduction
systems(forexample,infruitplantationsandagroforestrysystems)andtreesin
urbanparksandgardens.NALanduse 20.00.00 Biodiversit
yprotection
land
km2 WorldBankTerrestrial
ProtectedAreas,WorldBank
http://data.worldbank.org/INDICATOR/ER.LND.PTLD.ZS
1990,2000,2014
02/05/2017 Terrestrialprotectedareasaretotallyorpartiallyprotectedareasofatleast1,000hectaresthataredesignatedbynationalauthoritiesasscientificreserveswithlimitedpublicaccess,nationalparks,
naturalmonuments,naturereservesorwildlifesanctuaries,protectedlandscapes,andareasmanagedmainlyforsustainableuse.Marineareas,unclassifiedareas,littoral(intertidal)areas,andsites
protectedunderlocalorprovinciallawareexcluded.
Landuse 21.00.00 Urbanlandarea
km2 WorldBankUrbanLandArea
http://data.worldbank.org/INDICATOR/AG.LND.TOTL.UR.K2
1990,2000,2010
21/04/2017 Urbanlandareainmegahectares,basedonacombinationofpopulationcounts(persons),settlementpoints,andthepresenceofnight-timelights.Areasare
definedasurbanwherecontiguouslightedcellsfromthenight-timelightsor
approximatedurbanextentsbasedon
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
bufferedsettlementpointsforwhichthetotalpopulationisgreaterthan5,000
persons.Urbannoturbanizedland,givesthesamenumberfor1990,2000and2010
Landuse 22.00.00 Biofueland
bioelectricityland
Mha Capellánetal.Deliverable
D2.2.e.4(annex12)
NA 2008,2010
02/05/2017 Landforbiofuelestimationonlybiofuelsfromagriculture,bioelectricityissupposed
fromwasteandforestresidues
Landuse 23.00.00 Arableandcropland,%totallandarea
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Landuse 24.00.00 Pasturesand
meadows,%totallandarea
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Landuse 25.00.00 Forest,%totalland
area
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
Landuse 26.00.00 Otherland,%totalland
area
% OECD.Greengrowthindicators
http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH
1990-2014
17/04/2017
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Topic id Entries Unit Source Link Dataperiod
Datecollection
Comments
Energyconsumpti
onbysectors
27.00.00 FinalEnergy
Consumption(FEC)
EJ Ownelaborationbasedondata
fromtheIEAandWIOD
http://www.wiod.org/database/eas13
1995-2009
18/05/2017 SectorallyaggregatedusingWIODandIEA.
Commerce 28.00.00 Totalcommerce
Chainedlinkedvolumes(2010),millioneuro
Datacomex http://datacomex.comercio.es/principal_comex_ue.aspx
2006-2015
18/05/2017
Commerce 29.00.00 IntraEU28Trade
Chainedlinkedvolumes(2010),millioneuro
Datacomex http://datacomex.comercio.es/principal_comex_ue.aspx
2008-2015
18/05/2017
Commerce 30.00.00 ExtraEU28Trade
Chainedlinkedvolumes(2010),millioneuro
Datacomex http://datacomex.comercio.es/principal_comex_ue.aspx
2008-2015
18/05/2017
Energy 31.00.00 Energyexchange
TJ Eurostats http://ec.europa.eu/eurostat/web/energy/data/database
1990-2014
18/05/2017
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CREATESCHEMAIFNOTEXISTS`medeas`DEFAULTCHARACTERSETlatin1;USE`medeas`;---------------------------------------------------------Table`medeas`.`UNIT`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`UNIT`(`id`INT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(45)NOTNULL,PRIMARYKEY(`id`))AUTO_INCREMENT=63DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`QUANTITY`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`QUANTITY`(`id`INT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(45)NOTNULL,`baseunit`INT(11)NOTNULL,PRIMARYKEY(`id`),INDEX`fk_group_1_idx`(`baseunit`ASC),CONSTRAINT`fk_group_1`FOREIGNKEY(`baseunit`)REFERENCES`medeas`.`UNIT`(`id`)ONUPDATECASCADE)AUTO_INCREMENT=44DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`TOPIC`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`TOPIC`(`id`INT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(255)NOTNULL,
ANNEXV.DATABASESCHEMADEFINITION
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PRIMARYKEY(`id`),UNIQUEINDEX`title_UNIQUE`(`title`ASC))AUTO_INCREMENT=17DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`VARIABLETYPE`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`VARIABLETYPE`(`id`INT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(20)NOTNULL,PRIMARYKEY(`id`))AUTO_INCREMENT=4DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`VARIABLE`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`VARIABLE`(`id`VARCHAR(12)NOTNULL,`title`VARCHAR(255)NOTNULL,`quantity`INT(11)NOTNULL,`topic`INT(11)NOTNULL,`variabletype`INT(11)NOTNULL,`insert_user`VARCHAR(45)NULLDEFAULTNULL,`insert_dt`DATETIMENULLDEFAULTNULL,PRIMARYKEY(`id`),INDEX`fk_variable_2_idx`(`topic`ASC),INDEX`fk_variable_1_idx`(`quantity`ASC),INDEX`fk_variable_3_idx`(`variabletype`ASC),CONSTRAINT`fk_variable_1`FOREIGNKEY(`quantity`)REFERENCES`medeas`.`QUANTITY`(`id`)ONUPDATECASCADE,CONSTRAINT`fk_variable_2`FOREIGNKEY(`topic`)REFERENCES`medeas`.`TOPIC`(`id`)ONUPDATECASCADE,CONSTRAINT`fk_variable_3`FOREIGNKEY(`variabletype`)
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REFERENCES`medeas`.`VARIABLETYPE`(`id`)ONUPDATECASCADE)DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`METADATA`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`METADATA`(`id`INT(11)NOTNULLAUTO_INCREMENT,`variable`VARCHAR(12)NOTNULL,`source`VARCHAR(255)NULLDEFAULTNULL,`source_update`VARCHAR(45)NULLDEFAULTNULL,`identifier`VARCHAR(255)NULLDEFAULTNULL,`reliability`DOUBLENULLDEFAULTNULL,`license`VARCHAR(45)NULLDEFAULTNULL,`data_period`VARCHAR(45)NULLDEFAULTNULL,`collection_dt`VARCHAR(45)NULLDEFAULTNULL,`comments`VARCHAR(2000)NULLDEFAULTNULL,`valuetype`VARCHAR(45)NULLDEFAULTNULL,PRIMARYKEY(`id`),UNIQUEINDEX`variable_UNIQUE`(`variable`ASC),INDEX`fk__idx`(`variable`ASC),CONSTRAINT`fk_metadata_1`FOREIGNKEY(`variable`)REFERENCES`medeas`.`VARIABLE`(`id`)ONUPDATECASCADE)AUTO_INCREMENT=56DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`MODEL`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`MODEL`(`id`INT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(20)NOTNULL,PRIMARYKEY(`id`),UNIQUEINDEX`title_UNIQUE`(`title`ASC))AUTO_INCREMENT=5DEFAULTCHARACTERSET=latin1;
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---------------------------------------------------------Table`medeas`.`UNITQUANTITY`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`UNITQUANTITY`(`id`INT(11)NOTNULLAUTO_INCREMENT,`quantity`INT(11)NOTNULL,`unit`INT(11)NOTNULL,`multiplier`DOUBLENOTNULL,PRIMARYKEY(`id`),INDEX`fk_unitgroup_1_idx`(`unit`ASC),INDEX`fk_unitgroup_1`(`quantity`ASC),CONSTRAINT`fk_unitgroup_1`FOREIGNKEY(`quantity`)REFERENCES`medeas`.`QUANTITY`(`id`)ONUPDATECASCADE,CONSTRAINT`fk_unitgroup_2`FOREIGNKEY(`unit`)REFERENCES`medeas`.`UNIT`(`id`)ONUPDATECASCADE)AUTO_INCREMENT=63DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`VALUE`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`VALUE`(`id`INT(11)NOTNULLAUTO_INCREMENT,`variable`VARCHAR(12)NOTNULL,`model`INT(11)NOTNULL,`time`INT(11)NOTNULL,`value`DOUBLENOTNULL,`insert_user`VARCHAR(45)NULLDEFAULTNULL,`insert_dt`DATETIMENULLDEFAULTNULL,PRIMARYKEY(`id`),UNIQUEINDEX`fields_UNIQUE`(`variable`ASC,`model`ASC,`time`ASC),INDEX`fk_value_2_idx`(`variable`ASC),INDEX`model_idx`(`model`ASC),INDEX`time_idx`(`time`ASC),CONSTRAINT`fk_value_1`FOREIGNKEY(`model`)
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REFERENCES`medeas`.`MODEL`(`id`)ONUPDATECASCADE,CONSTRAINT`fk_value_2`FOREIGNKEY(`variable`)REFERENCES`medeas`.`VARIABLE`(`id`)ONUPDATECASCADE)AUTO_INCREMENT=143404DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`VALUE_HISTORY`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`VALUE_HISTORY`(`id`INT(11)NOTNULLAUTO_INCREMENT,`variable`VARCHAR(12)NOTNULL,`model`INT(11)NOTNULL,`time`INT(11)NOTNULL,`value`DOUBLENOTNULL,`insert_user`VARCHAR(45)NULLDEFAULTNULL,`insert_dt`DATETIMENULLDEFAULTNULL,`lup`DATETIMENOTNULL,`lupuser`VARCHAR(45)NULLDEFAULTNULL,PRIMARYKEY(`id`),UNIQUEINDEX`variable_lup_UNIQUE`(`model`ASC,`variable`ASC,`time`ASC,`lup`ASC))ENGINE=MyISAMAUTO_INCREMENT=656DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`user`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`user`(`USER_ID`INT(11)NOTNULLAUTO_INCREMENT,`user_name`VARCHAR(50)NULLDEFAULTNULL,`user_pass`CHAR(20)NULLDEFAULTNULL,`user_otp`VARCHAR(32)NULLDEFAULTNULL,`user_type`CHAR(1)NULLDEFAULTNULL,`user_level`INT(2)NULLDEFAULTNULL,`user_pass_expiry_date`DATETIMENULLDEFAULT'0001-01-0100:00:00',PRIMARYKEY(`USER_ID`),UNIQUEINDEX`USERS001`USINGBTREE(`user_name`ASC))
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AUTO_INCREMENT=64DEFAULTCHARACTERSET=latin1ROW_FORMAT=DYNAMIC;---------------------------------------------------------Table`medeas`.`user_role`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`user_role`(`USER_ROLE_ID`INT(11)NOTNULLAUTO_INCREMENT,`user_name`VARCHAR(50)NOTNULL,`role_name`CHAR(20)NOTNULL,PRIMARYKEY(`USER_ROLE_ID`),UNIQUEINDEX`USER_ROLE001`USINGBTREE(`user_name`ASC,`role_name`ASC),CONSTRAINT`user_fk`FOREIGNKEY(`user_name`)REFERENCES`medeas`.`user`(`user_name`)ONUPDATECASCADE)AUTO_INCREMENT=63DEFAULTCHARACTERSET=latin1;
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ANNEXVI.SOURCECODEFILESTATISTICS
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