Study of underfloor air distribution using zonal model-based simulation and experimental measurements

Abstract Underfloor air distribution (UFAD) is an effective strategy to provide both ventilation and air conditioning for buildings. To predict indoor airflows and temperature distribution, zonal model has advantages over other methods such as multi-zone model and computational fluid dynamics (CFD) by considering the prediction accuracy and computational cost. In this work, a numerical algorithm for floor-mounted diffuser flows, which calculates the airflow mass conservation and energy conservation separately, was implemented in a newly developed zonal model computer program for UFAD application, based on the established zonal model-pressurized zonal model with air-diffuser (POMA). This computer program was validated by lab experiments under both natural convection condition and mechanical ventilation for a lab-scale mixing UFAD system. Comparisons of zonal model simulation results and experimental measurements for both temperature distributions and air flows in the lab room showed that the newly developed zonal model is a good tool for predicting the indoor thermal environment with UFAD system.

[1]  Marco Luciano Savini,et al.  Discontinuous Galerkin solution of the Reynolds-averaged Navier–Stokes and k–ω turbulence model equations , 2005 .

[2]  Christian Inard,et al.  Energy consumption and thermal comfort in dwelling-cells: A zonal-model approach , 1998 .

[3]  Helmut E. Feustel,et al.  A survey of airflow models for multizone structures , 1992 .

[4]  Da-Wen Sun,et al.  Applications of computational fluid dynamics (CFD) in the modelling and design of ventilation systems in the agricultural industry: a review. , 2007, Bioresource technology.

[5]  Tom Webster,et al.  Outlook for underfloor air distribution , 2001 .

[6]  Jelena Srebric,et al.  A critical review on the performance and design of combined cooled ceiling and displacement ventilation systems , 2002 .

[7]  Paul Linden,et al.  The fluid dynamics of an underfloor air distribution system , 2006, Journal of Fluid Mechanics.

[8]  Da-Wen Sun,et al.  Computational fluid dynamics (CFD) ¿ an effective and efficient design and analysis tool for the food industry: A review , 2006 .

[9]  Qingyan Chen,et al.  Floor-supply displacement ventilation for workshops , 2007 .

[10]  Ahmed Daoud,et al.  Calculation of refrigeration loads by convection, radiation and condensation in ice rinks using a transient 3D zonal model , 2008 .

[11]  Christian Inard,et al.  Prediction of air temperature distribution in buildings with a zonal model , 1996 .

[12]  A. Hilgenstock,et al.  Analysis of installation effects by means of computational fluid dynamics—CFD vs experiments? , 1996 .

[13]  Bingfeng Yu,et al.  Numerical study on temperature stratification in a room with underfloor air distribution system , 2008 .

[14]  F. Haghighat,et al.  Modeling ventilated double skin façade—A zonal approach , 2008 .

[15]  L Mora,et al.  Comparing zonal and CFD model predictions of isothermal indoor airflows to experimental data. , 2003, Indoor air.

[16]  Fariborz Haghighat,et al.  Development and validation of a zonal model — POMA , 2001 .

[17]  P. Riederer,et al.  Influence of sensor position in building thermal control: criteria for zone models , 2002 .

[18]  Fariborz Haghighat Air infiltration and indoor air quality models—a review , 1989 .

[19]  J. Blaevoet Underfloor Air System for Retrofit Office Complex , 2005 .

[20]  R. Belarbi,et al.  Modelling solar effects on the heat and mass transfer in a street canyon, a simplified approach , 2005 .

[21]  P. Webster Alternative Air Conditioning Technologies: Underfloor Air Distribution (UFAD) , 2005 .

[22]  Leon R. Glicksman,et al.  Application of integrating multi-zone model with CFD simulation to natural ventilation prediction , 2005 .

[23]  Kwang Ho Lee,et al.  Simplified calculation method for design cooling loads in underfloor air distribution (UFAD) systems , 2011 .

[24]  Qingyan Chen,et al.  Ventilation performance prediction for buildings: A method overview and recent applications , 2009 .