Theoretical and numerical studies of coupling multizone and CFD models for building air distribution simulations.

UNLABELLED Multizone network models employ several assumptions, such as uniform temperature and pressure and quiescent air inside a zone, which may lead to inaccurate results in flow calculations. These assumptions can be eliminated in the zones, where the assumptions are inappropriate, by coupling a multizone network program with a computational fluid dynamics (CFD) program. Through theoretical analysis, this paper proves that the solution of air distribution by using the coupled program exists and is unique. Three possible coupling methods have been discussed in the paper. The best method is pressure-pressure coupling that exchanges pressure between the multizone and CFD because it is most stable and can always lead to a converged solution. Numerical tests were further performed to verify the theory and it demonstrated that the coupled program is able to effectively improve the accuracy of the results. PRACTICAL IMPLICATIONS The results of this paper provide a theoretical basis for improving the accuracy for modeling airflow and contaminant distributions in buildings. The coupled multizone and computational fluid dynamics can give high fidelity results, so field measurements may not be needed in the future. Designers of indoor environment in the future can use such a tool to evaluate different alternatives in design and identify the best solution for a building that can provide a healthy indoor environment.

[1]  F. Ladeinde,et al.  CFD applications in the HVAC and R industry , 1997 .

[2]  A. Delsante,et al.  Comparison of zonal and CFD modelling of natural ventilation in a thermally stratified building , 1998 .

[3]  Zhiqiang Zhai,et al.  Solution characters of iterative coupling between energy simulation and CFD programs , 2003 .

[4]  Steven J. Emmerich,et al.  Use of computational fluid dynamics to analyze indoor air quality issues , 1997 .

[5]  Buvana Jayaraman,et al.  Coupled model for simulation of indoor airflow and pollutant transport , 2004 .

[6]  J A Clarke,et al.  The implementation of a computational fluid dynamics algorithm within the ESP-r system , 2000 .

[7]  J. B. Scarborough Numerical Mathematical Analysis , 1931 .

[8]  Shigeki Nishizawa,et al.  Wind Pressure and Air Flow in a Full-Scale Building Model under Cross Ventilation , 2004 .

[9]  Jelena Srebric,et al.  Validation of a zero-equation turbulence model for complex indoor airflows , 1999 .

[10]  Ian Beausoleil-Morrison,et al.  The adaptive coupling of heat and air flow modelling within dynamic whole-building simulation , 2000 .

[11]  Qingyan Chen,et al.  A zero-equation turbulence model for indoor airflow simulation , 1998 .

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

[13]  Zhengen Ren,et al.  Simulating air flow and temperature distribution inside buildings using a modified version of COMIS with sub-zonal divisions , 2003 .

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

[15]  Zhengen Ren,et al.  Prediction of indoor gaseous pollutant dispersion by nesting sub-zones within a multizone model , 2003 .

[16]  Foluso Ladeinde,et al.  CFD Applications In the HVAC & R Industry , 2022 .

[17]  Jelena Srebric,et al.  Improved Prediction of Indoor Contaminant Distribution for Entire Buildings , 2002 .

[18]  Joseph Andrew Clarke,et al.  Integrating CFD and building simulation , 2002 .

[19]  P. Nielsen,et al.  The Selection of Turbulence Models for Prediction of Room Airflow , 1998 .

[20]  Joseph Andrew Clarke Domain integration in building simulation , 2001 .

[21]  S. Murakami,et al.  Wind Tunnel Test on Velocity-Pressure Field of Cross-Ventilation with Open Windows , 1991 .

[22]  Helmut E. Feustel COMIS—an international multizone air-flow and contaminant transport model , 1999 .

[23]  Amy Musser,et al.  An Analysis of Combined CFD and Multizone IAQ Model Assembly Issues | NIST , 2001 .

[24]  Cezar O.R. Negrão,et al.  CONFLATION OF COMPUTATIONAL FLUID DYNAMICS AND BUILDING THERMAL SIMULATION , 1995 .

[25]  F. C. Winkelmann,et al.  Recent Improvements in Spark: Strong Component Decomposition, Multivalued Objects and Graphical Interface , 1993 .

[26]  David M. Lorenzetti,et al.  Computational Aspects of Nodal Multizone Airflow Systems , 2002 .

[27]  Cezar O.R. Negrão Integration of computational fluid dynamics with building thermal and mass flow simulation , 1998 .

[28]  Qingyan Chen,et al.  Significant questions in predicting room air motion , 1992 .