Coupled simulation of BES-CFD and performance assessment of energy recovery ventilation system for office model

Yunqing Fan , T. Hayashi , K. Ito

Journal of Central South University ›› 2012, Vol. 19 ›› Issue (3) : 633 -638.

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Journal of Central South University ›› 2012, Vol. 19 ›› Issue (3) : 633 -638. DOI: 10.1007/s11771-012-1049-7
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Coupled simulation of BES-CFD and performance assessment of energy recovery ventilation system for office model

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Abstract

Thermal comfort and indoor air quality as well as the energy efficiency have been recognized as essential parts of sustainable building assessment. This work aims to analyze the energy conservation of the heat recovery ventilator and to investigate the effect of the air supply arrangement. Three types of mixing ventilation are chosen for the analysis of coupling ANSYS/FLUENT (a computational fluid dynamics (CFD) program) with TRNSYS (a building energy simulation (BES) software). The adoption of mutual complementary boundary conditions for CFD and BES provides more accurate and complete information of indoor air distribution and thermal performance in buildings. A typical office-space situated in a middle storey is chosen for the analysis. The office-space is equipped with air-conditioners on the ceiling. A heat recovery ventilation system directly supplies fresh air to the office space. Its thermal performance and indoor air distribution predicted by the coupled method are compared under three types of ventilation system. When the supply and return openings for ventilation are arranged on the ceiling, there is no critical difference between the predictions of the coupled method and BES on the energy consumption of HVAC because PID control is adopted for the supply air temperature of the occupied zone. On the other hand, approximately 21% discrepancy for the heat recovery estimation in the maximum between the simulated results of coupled method and BES-only can be obviously found in the floor air supply ventilation case. The discrepancy emphasizes the necessity of coupling CFD with BES when vertical air temperature gradient exists. Our future target is to estimate the optimum design of heat recovery ventilation system to control CO2 concentration by adjusting flow rate of fresh air.

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building energy simulation / computational fluid dynamics (CFD) / FLUENT / TRNSYS / energy saving

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Yunqing Fan, T. Hayashi, K. Ito. Coupled simulation of BES-CFD and performance assessment of energy recovery ventilation system for office model. Journal of Central South University, 2012, 19(3): 633-638 DOI:10.1007/s11771-012-1049-7

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References

[1]

NegraoC. O. R.. Integration of computational fluid dynamic with building thermal and mess flow simulation [J]. Building and Environmental, 1998, 27: 155-165

[2]

ZhaiZ.-q., ChenQ.-y., HavesP.. On approach to couple energy simulation and computational fluid dynamic programs [J]. Building and Environmental, 2002, 37: 857-864

[3]

ZhaiZ.-q., ChenQ.-yan.. Solution characters of iterative coupling between energy simulation and CFD programs [J]. Energy and Building, 2003, 35: 493-505

[4]

ZhaiZ.-q., ChenQ.-yan.. Performance of coupled building energy and CFD simulations [J]. Energy and Building, 2005, 37: 333-344

[5]

ZhaiZ.-q., ChenQ.-yan.. Sensitivity analysis and application guides for integrated building energy and CFD simulation [J]. Energy and Building, 2006, 38: 1060-1068

[6]

DJUNAEDY E, HENSEN J, LOOMANS M. External coupling between CFD and energy simulation: Implementation and validation [J]. ASHRAE Transactions, 2005: 612–624.

[7]

CrawleyD. B.. Contrasting the capabilities of building energy performance simulation programs [J]. Building and Environment, 2008, 43: 661-673

[8]

ARIAS D A. Advance on the coupling between a commercial CFD package and a component-based simulation program [C]// Second National IBPSA-USA Conference. Cambridge MA. 2006: 231–237.

[9]

ANSYS. ANSYS/FLUENT 12 [M]. ANSYS Japan Ltd. 2009.

[10]

KleinS. A., BeckmanW. A., MitchellJ. W., et al.TRNSYS 17: A Transient system simulation program, SEL [D], 2006, Madison, USA, University of Wisconsin

[11]

ZhaiZ.-q., ChenQ.-yan.. Evaluation of various turbulence models in predicting airflow and turbulence in enclosed environments by CFD: Part 1: Summary of prevalent turbulence models [J]. HVAC & R Research, 2007, 13(6): 853-870

[12]

WARGOCKI P, WYON D P, SUNDELL J, CLAUSEN G, FANGER P O. The effects of outdoor air supply rate in an office on perceived air quality, sick building syndrome (SBS) symptoms and productivity [J]. Indoor Air, 2000(10): 222–236.

[13]

SeppänenO., FiskW. J., LeiQ. H.. Ventilation and performance in office work [J]. Indoor Air, 2006, 16: 28-36

[14]

LauJ., NiuJ. L.. Measurement and CFD simulation of the temperature stratification in an atrium using a floor level air supply method [J]. Indoor and Built Environment, 2003, 12: 265-280

[15]

BartakM., Beausoleil-MorrisonI., ClarkeJ. A., DrkalD. F., LainM., MacdonaldI. A., MelikovA., PopiolekZ., StankovP.. Integrating CFD and building simulation [J]. Building and Environment, 2002, 37(8/9): 865-871

[16]

SorensenD. N., NielsenP. V.. Quality control of computational fluid dynamics in indoor environments [J]. Indoor Air, 2003, 13(1): 2-17

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