Radiant Cooling Design: Jingjuan (Dove) Feng, PhD ...ggashrae.org/images/meeting/101613/feng.pdf ·...

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand. GGASHRAE Radiant Energy Seminar 1 Center for the Built Environment October 2013 1 Center for the Built Environment October 2013 Radiant Cooling Design: Performance Prediction and Modeling Methods Jingjuan (Dove) Feng, PhD Candidate Center for the Built Environment University of California Berkeley Center for the Built Environment October 2013 2 Agenda Background Cooling load prediction methods and tools What’s available and what’s been used? Are they accurate? Investigation by experiment and simulation Design recommendations Cooling load prediction method Modeling tool selection Implications for sizing Modeling for code compliance and LEED Cooling load analysis Cooling load analysis Radiant system sizing Radiant system sizing Modeling tools Modeling tools

Transcript of Radiant Cooling Design: Jingjuan (Dove) Feng, PhD ...ggashrae.org/images/meeting/101613/feng.pdf ·...

Page 1: Radiant Cooling Design: Jingjuan (Dove) Feng, PhD ...ggashrae.org/images/meeting/101613/feng.pdf · Radiant Cooling Design: ... ASHRAE HOF ; 2) ISO 11855 ... RTS method cannot predict

Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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

• What’s available and what’s been used?

• Are they accurate?

• Investigation by experiment and simulation

Design recommendations

• Cooling load prediction method

• Modeling tool selection

• Implications for sizing

Modeling for code compliance and LEED

Cooling load 

analysis

Cooling load 

analysis

Radiant system sizing

Radiant system sizing

Modeling tools

Modeling tools

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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?

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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) ASHRAE HOF ; 2) ISO 11855 (2012)

Case study building list

Building names

Bankok Airport

David Brower Center

Walmart at sacramento

Manitoba Hydro

NREL Research Support Facility

William Jefferson Clinton Presidential Library

Lobby 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 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

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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%

Non‐tradi onal method (CFD,

etc) 6%

Typical design

N=16

Center for the Built Environment October 2013 8

Differences between Heat gain and cooling load

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

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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. and Schiavon, S. (2013) Experimental comparison of zone cooling load between radiant and air systems, To be submitted to Energy and Building. 

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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 24°C (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)

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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

Heater on period

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. and Bauman, F. (2013) Cooling load differences between radiant and air systems, Energy and Buildings, 65, 310‐321.

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 10

Center for the Built Environment October 2013 19

Comparison of cooling load profiles

• Case example: Internal load only_ radiative fraction= 0.6

Air System Radiant System

Center for the Built Environment October 2013 20

What about cooling load prediction methods and

modeling tools?

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 11

Center for the Built Environment October 2013 21

ASHRAE cooling load prediction methods

Heat balance (HB) method

• Based on first principles

• EnergyPlus 8.0

Radiant 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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Center for the Built Environment October 2013 22

Quote: ASHRAE HOF chapter 19

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 13

Center for the Built Environment October 2013 25

Modeling tool selection

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

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)

Akron art museum, OH

B. Olesen, ASHRAE Journal (2008). 

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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)

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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

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)

Center for the Built Environment October 2013 30

Modeling for code compliance and beyond code program

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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 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

Center for the Built Environment October 2013 32

LEED

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

6

Innovation in design 5

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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.

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Performance Prediction and Modeling Jingjuan Feng, PhD Cand.

GGASHRAE Radiant Energy Seminar 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]