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  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 1

    Center for the Built Environment October 2013 1Center for the Built Environment October 2013

    Radiant Cooling Design: Performance Prediction and Modeling Methods

    Jingjuan (Dove) Feng, PhD CandidateCenter for the Built Environment

    University of California Berkeley

    Center for the Built Environment October 2013 2

    Agenda

    Background

    Cooling load prediction methods and tools

    Whats available and whats been used? Are they accurate? Investigation by experiment and simulationDesign recommendations

    Cooling load prediction method Modeling tool selection Implications for sizingModeling for code compliance and LEED

    Coolingload

    analysis

    Coolingload

    analysis

    Radiantsystemsizing

    Radiantsystemsizing

    Modelingtools

    Modelingtools

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 2

    Center for the Built Environment October 2013 3

    Backgrounds: Air systems vs. Radiant systems

    Air systems Ventilation + space

    conditioning

    Design to meet a single peak cooling load value

    Remove heat using convection

    Radiant systems

    Decoupled ventilation and space conditioning

    Allow pre-conditioning the radiant layer

    Remove heat using convection + radiation

    Center for the Built Environment October 2013 4

    1. Is the cooling load the same for radiant systems as for air systems?

    2. Can we use the same method to size radiant system as air system?

    3. Which modeling tools can be used to assist design?

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 3

    Center for the Built Environment October 2013 5

    What methods and tools are available and being used ?

    Literature review

    ASHRAE HOF (2013) ISO 11855 (2012) RHVEA Guidebook Price Engineer's HVAC Handbook

    (2011)

    Case studies + Survey

    5 case studies 11 responses from designers from

    Europe and North America

    1)ASHRAEHOF;2)ISO11855(2012)

    Casestudybuildinglist

    Building names

    Bankok Airport

    David Brower Center

    Walmart at sacramento

    Manitoba Hydro

    NREL Research Support FacilityWilliam Jefferson Clinton

    Presidential LibraryLobby of Hearst headquarters

    SMUD building office area

    St Meinrad Archabbey church

    applications Load features Rad system type

    Lobby/atrium solar + stratification radiant floor

    office Typical radiant ceiling slab

    retail with skylight Typical radiant floor cooling

    office Typical TABS ceiling

    office Typical radiant slab ceiling

    Lobby/atriumTypical

    load+stratification radiant floorLobby/atrium solar + stratification radiant floor

    office Typical radiant ceiling slab

    ChurchTypical

    load+stratification radiant floor

    Center for the Built Environment October 2013 6

    Available cooling load prediction methods/tools

    Method Tools

    #1 Heat gain Ignorethermalmasseffect Spreadsheet

    #2 Simplifiedmethods

    RTS,CLTD/CLF/SCL,weightingfactormethod, etc.(airsystemonly)

    TRACE,DOE2,eQUEST,etc.

    #3 HB method Radiantsystemsimulatedwith dynamicsimulationtool

    EnergyPlus,IESVE,TRNSYS,etc.

    #4 Nontraditional

    Usedmostlyfor applicationswithintensivesolarandstratification

    Solar simulationtools,CFD

    #5 ISO11855(2012)

    Diagrambasedondesigndayenergygain,operationhour,andetc. (TABSonly)

    Proprietarytools

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 4

    Center for the Built Environment October 2013 7

    Thermal load analysis method/tool in practice

    13 out of 16 designers we interviewed assume the same cooling load for radiant systems as air systems

    Radiant cooled surfaces were not directly modeled

    Directly use heat gain 37%

    Simplified method (Trane

    Trace) 38%

    ISO 11855 method

    0% Dynamic simula on

    tool 19%

    Nontradi onal method (CFD,

    etc) 6%

    Typical design

    N=16

    Center for the Built Environment October 2013 8

    Differences between Heat gain and cooling load

    Thermalmasseffectforconvectionbased(air)system(source:ASHRAEFundamental2013)

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 5

    Center for the Built Environment October 2013 9

    Space cooling load definition

    All-air systems Cooling load

    Heat gain removed by convection only Maintain fixed setpoint temperature

    Radiant heat gain Absorbed by non-active thermal mass Released as convective heat gain after time delay

    Radiant systems Cooling load

    Heat gain removed by radiation and convection at active chilled surface

    Maintain operative temperature within comfort zone

    Radiant heat gain Becomes cooling load instantly

    What is the difference in cooling load for radiant vs. air systems?

    Center for the Built Environment October 2013 10

    Are they the same?

    Cooling loadRADIANT Cooling loadAIR

    Laboratory testing and simulation study will compare the following:

    Instantaneous cooling rate

    peak cooling rate

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 6

    Center for the Built Environment October 2013 11

    Laboratory testing: Cooling load comparison

    Objectives

    Verify that cooling loads for radiant system are different from air system

    Experimental approach

    Concrete blocks (thermal mass) on floor with heating mats on top (internal heat gain)

    Conduct 12-hour tests with heaters on for 6 hours and off for 6 hours Radiant chilled ceiling panels Overhead air system Maintain the same operative temperature

    Center for the Built Environment October 2013 12

    Test chamber configurations

    Feng,J.Bauman,F.andSchiavon,S.(2013)Experimentalcomparisonofzonecoolingloadbetweenradiantandairsystems,TobesubmittedtoEnergyandBuilding.

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 7

    Center for the Built Environment October 2013 13

    Experimental results: Operative temperature

    Maintain the same thermal comfort level

    Control to the same operative temperature at 24C (75.2 F )

    Center for the Built Environment October 2013 14

    Experimental results: Instantaneous cooling rate

    Radiant system has a higher cooling rate than the air system

    18% higher during hour 6 (peak cooling load)

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 8

    Center for the Built Environment October 2013 15

    Radiant system removes heat faster during heater-on period

    Radiant system removes 82% of total heat gain

    Air system removes 63.3%of total heat gain

    Experimental results: Total energy removal

    Heateronperiod

    Center for the Built Environment October 2013 16

    Simulation study of different design cases

    Radiant system types

    Radiant panel/Lightweight radiant slab/Heavyweight radiant slab

    Parameters studied Thermal insulation Building mass Radiative/convective

    split of internal load

    Solar heat gain Active ceiling/floor Cooling design day simulation

    Window Window

    BC: adiabatic

    Window Window

    BC: adiabatic

    BC: adiabatic

    hw_r2: R=2.20 (m2-K/W)hw_r1: R=1.20 (m2-K/W)

    BC: adiabatic

    Wall: L1: Concrete block L2: Foam insulation

    L1: Concrete slab

    L2: Insulation

    L3: Wood sidingFlr:

    hw_r2: heavyweight Lw_r2: lightweightWall: L1: Plaster board

    L2: Fiberglass quilt

    L1: Timber flooring

    L2: Insulation

    L3: Wood sidingFlr:

    BC: adiabatic

    rad0: 0% radiant

    BC: adiabatic

    rad0.6: 60% radiantrad0.3: 30% radiant

    rad1.0: 100% radiant

    BC: environment

    G1: insulation G2: building mass

    G3 :Int. heat gain G4 :ceiling with solar

    cl_noshade: No shade cl_shade:Exterior shade

    flr_noshade: No shade flr_shade:Exterior shade

    G5 :floor with solar

    Real Window

    BC: adiabatic

    G6 :typical

    cl_shade_rad0.6

    Feng,J., Schiavon,S.andBauman,F.(2013)Coolingloaddifferencesbetweenradiantandairsystems,EnergyandBuildings,65,310321.

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 9

    Center for the Built Environment October 2013 17

    Results: Peak cooling load

    Higher peak cooling load for studied cases:

    Interior space: 7-27% Perimeter space without solar: 12-35% Perimeter space with solar: 48-85%

    Implications

    Minimize solar load for design Especially effective for removing solar load High peak load high energy consumption!

    Center for the Built Environment October 2013 18

    Why are they different?

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    Power

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    Power

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    (W/m

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    Coolingloadfromconvectiveheatgain

    AirSystem

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    RadiantSystem

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  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 10

    Center for the Built Environment October 2013 19

    Comparison of cooling load profiles

    Caseexample:Internalloadonly_radiative fraction=0.6

    AirSystem RadiantSystem

    Center for the Built Environment October 2013 20

    What about cooling load prediction methods and

    modeling tools?

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 11

    Center for the Built Environment October 2013 21

    ASHRAE cooling load prediction methods

    Heat balance (HB) method

    Based on first principles EnergyPlus 8.0Radiant time series (RTS) method/weighting factor method

    Convective heat gain instantaneous cooling load Radiative heat gain convective cooling load with delay CTF/RTF Generator and excel (or TRACE )

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    6:00 18:00 6:00

    Center for the Built Environment October 2013 22

    Quote: ASHRAE HOF chapter 19

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 12

    Center for the Built Environment October 2013 23

    Measured vs. Prediction based on HB method

    EnergyPlus v8.0 model was developed to apply the HB method Match well with air system cooling load Radiant system cooling load: heat removed by the radiant ceiling panels

    Center for the Built Environment October 2013 24

    Measured vs. Prediction based on RTS method

    RTS method cannot predict cooling load correctly for the test chamber configuration

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 13

    Center for the Built Environment October 2013 25

    Modeling tool selection

    Tools Modeling method Capabilityto capturetheradiantdynamic

    IES (VE) HBmethodTRNSYS HBmethodEnergyPlus HB method

    ESPr HBmethodDOE2 Weighting factormethodeQUEST Weighting factormethodTRACE RTSmethod orTFmethod

    Makesureto:1)Modeltheradiantsourceasaroomsurface;2)Definecoolingloadcorrectly

    Center for the Built Environment October 2013 26

    Design radiant floor cooling systems with solar load

    Applications

    Spaces with large glazed surfaces, such as atria, perimeter areas, etc.

    Guidance is limited with solar

    Maximum cooling capacity in standard: 42 W/m2 (13 Btu/h.ft2)

    With solar: 100 W/m2 (32 Btu/h.ft2)

    Akronartmuseum,OH

    B.Olesen,ASHRAEJournal(2008).

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 14

    Center for the Built Environment October 2013 27

    Simulated capacity vs. standard without solar

    Simulated capacity matches well with standard capacity curve without solar

    Center for the Built Environment October 2013 28

    Simulated capacity vs. standard with solar

    Cooling capacity can reach 130 W/m2 (42 Btu/h.ft2)

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 15

    Center for the Built Environment October 2013 29

    Air system size: Simulated: 20 W/m2 (6.4 Btu/h.ft2)

    Guideline: 86 W/m2 (27.5 Btu/h.ft2)

    Impact on air system sizing

    Coolingcapacityhighlimitwithoutsolar42W/m2

    peakcoolingload:128W/m2 (41Btu/h.ft2)Radiantcoolingcapacity:108W/m2 (34.5Btu/h.ft2)

    Center for the Built Environment October 2013 30

    Modeling for code compliance and beyond code program

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 16

    Center for the Built Environment October 2013 31

    Title 24 (2013): Radiant floor cooling system

    Modeling requirements for compliance evaluation

    EnergyPlus will be available for code compliance (CBECC-Com) , Jan 2014, http://www.bees.archenergy.com

    Items ModelingInputRestrictionsTemperaturecontrol MeanairtemperatureHydronic TubingInsideDiameter Betweenaminimumof1/2andamaximumofTemperatureControl FixedatMeanAirTemperatureforcompliancecalculationsCondensationControlDewpointOffset

    MinimumcoldwatersupplyTemperaturefixedat2Fabovedewpoint

    CoolingLowWaterTemperature 55F

    Center for the Built Environment October 2013 32

    LEED

    LEED topics PossiblepointsEnergy& AtmosphereCredit1:OptimizeenergyperformanceCredit 3:EnhancedcommissioningCredit4:EnhancedrefrigerantmanagementCredit5:Measurement&verification

    26

    IndoorEnvironmentalQualityCredit1:OutdoorairdeliveringmonitoringCredit2:IncreasedventilationCredit3:ConstructionIAQplanCredit6.2:Controllabilityofsystems thermalcomfortCredit7:Thermalcomfort Design&Verification

    6

    Innovationindesign 5

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 17

    Center for the Built Environment October 2013 33

    Key takeaway

    Cooling load prediction and modeling method for radiant systems Use design tools based on heat balance approach

    Define cooling load as heat removed by actively cooled surface(s),i.e. , radiant source should be modeled

    RTS or weighting factor method, may lead to incorrect results

    Peak cooling loads may be higher than air systems, but Radiant systems are known to be more energy efficient

    Under some operating strategies radiant systems will have lower peak cooling loads (e.g., nighttime pre-cooling).

    Center for the Built Environment October 2013 34

    Acknowledgments

    California Energy Commission (CEC) Public Interest Energy Research (PIER) Buildings Program.

    Center for the Built Environment, University of California, Berkeley (www.cbe.berkeley.edu).

    Julian Rimmer, Brad Tully, and Tom Epp of Price Industries for the use of their Hydronic Test Chamber in Winnipeg.

  • PerformancePredictionandModeling JingjuanFeng,PhDCand.

    GGASHRAERadiantEnergySeminar 18

    Center for the Built Environment October 2013 35

    Radiant system building project

    Link to the map: http://bit.ly/RadiantBuildingsCBE

    Link to the form: http://bit.ly/RadiantFormCBE

    Contact: Caroline Karmann, [email protected]

    Fred Baumann, [email protected]

    Center for the Built Environment October 2013 36

    Questions?

    Jingjuan (Dove) Feng

    [email protected]

    Fred Bauman

    [email protected]

    Stefano Schiavon

    [email protected]