radiant cooling design: performance prediction and modeling

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Page 1: Radiant Cooling Design: Performance Prediction and Modeling
Page 2: Radiant Cooling Design: Performance Prediction and Modeling

Cooling load

analysis

Radiant system sizing

Modeling tools

Page 3: Radiant Cooling Design: Performance Prediction and Modeling

Page 4: Radiant Cooling Design: Performance Prediction and Modeling
Page 5: Radiant Cooling Design: Performance Prediction and Modeling

1) ASHRAE HOF ; 2) ISO 11855 (2012)

Case study building list

Buildingnames

BankokAirport

DavidBrowerCenter

Walmartatsacramento

ManitobaHydro

NRELResearchSupportFacility

WilliamJeffersonClinton

PresidentialLibrary

LobbyofHearstheadquarters

SMUDbuildingofficearea

StMeinradArchabbeychurch

applications Loadfeatures Radsystemtype

Lobby/atrium solar+stratification radiantfloor

office Typical radiantceilingslab

retailwithskylight Typical radiantfloorcooling

office Typical TABSceiling

office Typical radiantslabceiling

Lobby/atriumTypical

load+stratification radiantfloorLobby/atrium solar+stratification radiantfloor

office Typical radiantceilingslab

ChurchTypical

load+stratification radiantfloor

Page 6: Radiant Cooling Design: Performance Prediction and Modeling

Method Tools

#1 Heat gain Ignore thermal mass effect Spreadsheet

#2 Simplified methods

RTS,CLTD/CLF/SCL, weighting factor method, etc. (air system only)

TRACE, DOE-2, eQUEST, etc.

#3 HB method Radiant system simulated with dynamic simulation tool

EnergyPlus, IES-VE, TRNSYS, etc.

#4 Non-traditional

Used mostly for applications with intensive solar and stratification

Solar simulation tools, CFD

#5 ISO-11855 (2012)

Diagram based on design day energy gain, operation hour, and etc. (TABS only)

Proprietary tools

Page 7: Radiant Cooling Design: Performance Prediction and Modeling

Directlyuseheatgain37%

Simplifiedmethod(Trane

Trace)38%

ISO11855method

0%Dynamicsimula on

tool19%

Non-tradi onalmethod(CFD,

etc)6%

Typicaldesign

N=16

Page 8: Radiant Cooling Design: Performance Prediction and Modeling

Thermal mass effect for convection based (air) system (source: ASHRAE Fundamental 2013)

Page 9: Radiant Cooling Design: Performance Prediction and Modeling

Page 10: Radiant Cooling Design: Performance Prediction and Modeling

Page 11: Radiant Cooling Design: Performance Prediction and Modeling

Page 12: Radiant Cooling Design: Performance Prediction and Modeling

Feng, J. Bauman, F. and Schiavon, S. (2013) Experimental comparison of zone cooling load between radiant and air systems, To be submitted to Energy and Building.

Radiant cooling panels Overhead diffuser

Concrete blocks Heater

Page 13: Radiant Cooling Design: Performance Prediction and Modeling
Page 14: Radiant Cooling Design: Performance Prediction and Modeling

Page 15: Radiant Cooling Design: Performance Prediction and Modeling

Heater on period

Page 16: Radiant Cooling Design: Performance Prediction and Modeling

Feng, J., Schiavon, S. and Bauman, F. (2013) Cooling load differences between radiant and air systems, Energy and Buildings, 65, 310-321.

Page 17: Radiant Cooling Design: Performance Prediction and Modeling

Page 18: Radiant Cooling Design: Performance Prediction and Modeling

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Cooling load from convective heat gain

Air System

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Radiant System

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Page 19: Radiant Cooling Design: Performance Prediction and Modeling

• Case example: Internal load only_ radiative fraction= 0.6

Air System Radiant System

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Page 21: Radiant Cooling Design: Performance Prediction and Modeling

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Page 25: Radiant Cooling Design: Performance Prediction and Modeling

Tools Modeling method Capability to capture the radiant dynamic

IES (VE) HB method

TRNSYS HB method

EnergyPlus HB method

ESP-r HB method

DOE-2 Weighting factor method

eQUEST Weighting factor method

TRACE RTS method or TF method

Make sure to: 1) Model the radiant source as a room surface;2) Define cooling load correctly

Page 26: Radiant Cooling Design: Performance Prediction and Modeling

Akron art museum, OH

B. Olesen, ASHRAE Journal (2008).

Page 27: Radiant Cooling Design: Performance Prediction and Modeling

𝑺𝒕𝒂𝒏𝒅𝒂𝒓𝒅 𝒄𝒂𝒑𝒂𝒄𝒊𝒕𝒚 𝒄𝒖𝒓𝒗𝒆

Page 28: Radiant Cooling Design: Performance Prediction and Modeling

𝑺𝒕𝒂𝒏𝒅𝒂𝒓𝒅 𝒄𝒂𝒑𝒂𝒄𝒊𝒕𝒚 𝒄𝒖𝒓𝒗𝒆

Page 29: Radiant Cooling Design: Performance Prediction and Modeling

Cooling capacity high limit without solar 42W/m2

peak cooling load: 128 W/m2 (41 Btu/h.ft2)

Radiant cooling capacity: 108 W/m2 (34.5 Btu/h.ft2)

Page 30: Radiant Cooling Design: Performance Prediction and Modeling
Page 31: Radiant Cooling Design: Performance Prediction and Modeling

Items Modeling Input Restrictions

Temperature control Mean air temperature

Hydronic Tubing Inside DiameterBetween a minimum of 1/2” and a maximum of ¾ ”

Temperature ControlFixed at Mean Air Temperature for

compliance calculations

Condensation Control DewpointOffset

Minimum cold water supplyTemperature fixed at 2°F above dewpoint

Cooling Low Water Temperature 55°F

Page 32: Radiant Cooling Design: Performance Prediction and Modeling

LEED topicsPossible points

Energy & AtmosphereCredit 1: Optimize energy performanceCredit 3: Enhanced commissioningCredit 4: Enhanced refrigerant managementCredit 5: Measurement & verification

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Indoor Environmental QualityCredit 1: Outdoor air delivering monitoringCredit 2: Increased ventilationCredit 3: Construction IAQ planCredit 6.2: Controllability of systems – thermal comfortCredit 7: Thermal comfort- Design&Verification

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Innovation in design 5

Page 33: Radiant Cooling Design: Performance Prediction and Modeling

Page 34: Radiant Cooling Design: Performance Prediction and Modeling