inventory management and archiving swiss system/procedures
DESCRIPTION
UNFCCC Workshop on National Systems, 11-12 April 2005, Bonn. Inventory Management and Archiving Swiss System/Procedures. Paul Filliger Swiss Federal Agency for the Environment, Forests and Landscape Economics and Climate Section CH-3003 Berne ([email protected]). Overview. - PowerPoint PPT PresentationTRANSCRIPT
Inventory Management and Archiving
Swiss System/Procedures
Paul Filliger
Swiss Federal Agency for the Environment, Forests and Landscape
Economics and Climate Section
CH-3003 Berne([email protected])
UNFCCC Workshop on National Systems, 11-12 April 2005, Bonn
Overview
Today’s inventory management system
• and problems
Future inventory management system
• Design, data collection, preparation, import
• Emission calculation, uncertainties
• Reports, History of data handling
Documentation / Archiving
• Data, methods, decisions/reasons
Remaining problems / Conclusion
Today‘s Inventory Management System
Air Pollution Database EMIS, SAEFL
Swiss Energy Statistics, SFOE SAEFL Internal UNFCCC Greenhouse Gas Inventory
Road Transportation, Waste: Statistics Greenhouse Gas Files CRFand models, SAEFL
Civil/Military Aviation, FOCA/BABLW
Agriculture: Statistics and Models, FOAG / FAL Further National and
LUCF: Forest Statistics and Forest Inventory International Applications
Data from Industry Assoc. and further institut.
EXCEL datasheets
Internal Greenhouse Gas Files
Greenhouse Gas Inventory 2003
1A1 Energy/Transformation
IPCC Source/Sink Categories Consump. CO2 CO2 biom. CH4 N2O NOx CO NMVOC SO2 CO2 CO2 b. CH4 N2O NOx CO NMVOC SO2
TJ 1'000 Gg 1'000 Gg Gg Gg Gg Gg Gg Gg t/TJ t/TJ kg/TJ kg/TJ kg/TJ kg/TJ kg/TJ kg/TJ
1A1 Energy/Transformation 32'418 1.71043 0.966 0.069 0.1336 1.834 0.592 0.0638 1.2901A1 a Electricity/Heat 21'893 1.055 0.044 0.12728 1.157 0.434 0.039 0.2041A1 ai Electricity 0 0 0 0 0 0 0 0
LFO 73.50 1 0.6 37 11 2 33 HFO 77.00 4 0.8 125 1 2 383 Gas 55.00 6 0.1 28 14 2 0.5 Coal 94.13 9 1.6 200 100 9 500
1A1 aii Combined Heat/Electricity 21'893 1.0550 0.044 0.12728 1.157 0.434 0.03928 0.204 48.19 2.0 5.8 53 20 2 9 LFO 682 0.0501 0.0007 0.000409 0.0252 0.0075 0.0014 0.0224 73.50 1 0.6 37 11 2 33 HFO 77.00 4 0.8 125 15 4 383 Gas 6'736 0.3705 0.040 0.00067 0.189 0.094 0.013 0.003 55.00 6 0.1 28 14 2 0.5 Coal 94.13 9 1.6 200 100 9 500 Biomass 160 0.015 0.00336 0.000256 0.0224 0.0800 0.00112 0.0032 92 21 1.6 140 500 7 20 Other (waste incineration) 14'315 0.634 0.952 0.0000 0.1259 0.9212 0.2519 0.0233 0.1749
1A1 b Petroleum Refining 10'525 0.655 0.0246 0.0063 0.6762 0.1579 0.0246 1.0859 HFO 1'769 0.1362 0.0044 0.00106 0.1946 0.0265 0.0044 0.8670 77.00 2.50 0.6 110 15 2.5 490 Gas (LPG) 8'756 0.5192 0.0201 0.00525 0.4816 0.1313 0.0201 0.2189 59.30 2.30 0.6 55 15 2.3 25
Proceeding: Activity rates stem from GEST (split-calculation in file "FUELS" of LA). Aggregated emission factors from "Emissionsfaktoren; neue CO2-Werte". Actual emissions calculated with actual activity rates and these emission factors.The fraction of stationary motors is so small compared to the total in each fuel, that aggregated emission factors are those from combustion boilers.Petroleum refining with emission factors from EMIS (exception CO2 and N2O LPG); emission factors between 1990 and 1995 interpolated (1995: retrofitting done). Activity rates HFOand LPG from "J ahresberichte Erdölvereinigung".Emissions calculated by multiplying activity rates with emission factors.
Sulfur contents: LFO: 0.0700% HFO: 0.7900%
Energy Consump. Emissions Emission factors
Comments
IPCCcategories
relevant cells linked to CRF
Advantage of old system
• Simple and stupid, and it works
Problems
• System has grown to a vast, almost un-manageable size (>100 tables, thousands of links)
• Modifications possible, but very error sensitive
• Yearly up-date is hard work
• Knowledge about structure is concentrated to the developer’s head
EMISEMISDatabaseDatabase
UNFCCCUNFCCCCRF TablesCRF Tables
UNECE/UNECE/EMEPEMEP
nationalnationalRequire-Require-
mentsments
Reporting Obligations
Expert Information
Energy
Transport
Industry
Agriculture
Waste
MESAP Information System
ExcelExcelImporterImporter
ExcelExcelAnalystAnalystCalQlatorCalQlator
Design of future Inventory Management System
ACCESS
Data – Collection 1
Input derived from Data surveys Emission measurements Calculations and
modeling Literature studies and
assumptions
Data compilation per
source category
Data – Collection 2
Compilation files includes List of treated air
pollutants (climate + air) Definitions and
description of model /
calculation Time series of activity
data (incl. projections) Emission factors References
Data preparation
Definition of import
format Automatic
plausibility checks Unit conversion (SI) Documentation
EMISEMISDatabasDatabas
ee
Data import in System User Defined Data
Views Automatic import or
copy/paste User-guided
plausibility checks
EMISEMISDatabasDatabas
ee
Emission Calculation
Activity rate · Emission
Factor Equation editor Visualization of
calculation result
Implementation of uncertainty information
EMISEMISDatabasDatabas
ee
Compile Reports MS Excel Environment Hot-Links to Database Shift inventory year Data link to former
database versions for
recalculation
History of Data handling
Archiving of data
• Inventory database integrated in governmental data processing system (closed environment with high security demands)
• Backups and security on high standard (shadowed disks, daily backups, two different servers at two different locations, daily update of virus software etc.)
Archiving of data is not a problem
Archiving/Documentation of methods
Two pillar strategy:
1) All methods should be documented (or at least referenced) in the MESAP information systemi) through documentation in compilation filesii) through calculation procedures in the CalQlator
2) A comprehensive (reader friendly) overview is given in the National Inventory Report (NIR) (Annexes for details)
Archiving of background information(incl. decisions/reasons)
• Includes all “soft” data, which are indirectly linked to data in EMIS or NIR, e.g. - Annual reports from industry (activity data)- Reports about methods (referenced in EMIS, NIR)- Reasons of selection of methods, activity data- Documentation of decisions made during inventory preparation
Remaining problems
• Archiving of background information, mainly decisions / reasons
• Inclusion of LULUCF data in EMISLand use change data is different in structure from emission data
Inventory preparation and production will remain a step by step improving process which will (probably) never find the final top-level product. Pragmatic, country-adapted solutions are needed.
Conclusion