Research on the Natural Ventilation Cooling Effect of Residential Building Based on the CFD and DeST Simulation

Abstract:

Assessing the energy saving of natural ventilation is difficult, especially for large scale naturally ventilated buildings, due to the lack of deterministic data and method. This paper presents a method, integrating simulation by both software of DeST-h and computational fluid dynamics (CFD) in typical meteorological year (TMY) in Guangzhou, to evaluate quantitatively the natural ventilation cooling effect. The results showed that the cooling effect of natural ventilation was influenced by the windows and doors switching. Air conditioning operating hours reduction in the living room can reach 509h by natural ventilation during the occupied time with the windows and doors opened, which can reach 325h with the windows opened and doors closed. The cooling effect of natural ventilation was more significant in windows and doors opened case than that in windows opened and doors closed case. Annual rate of cooling loads reduction in rooms and building were 0.34~10.50% and 6.14% respectively. It is necessary to organize and design building opening to maximize the natural ventilation using.

• Periodical: Advanced Materials Research (Volumes 374-377)
• Pages: 685-689
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.374-377.685
• Online since: October 2011
• Authors: Li Hua Zhao, Cui Cui Qin
• Keywords: Air Change Rates, Cooling, Natural Ventilation, Residential Building

References

[1] Feng Jing. The natural ventilation potential of some cities in China. Tongji University journal. Shanghai (2008), P. 92-96

[2] Lechner N. Heating, cooling, lighting: design methods for architects. 2nd ed. John Wiley & Sons, Inc (2000).

[3] N. Artmann, H. Manz, P. Heiselberg. Climatic potential for passive cooling of buildings by night-time ventilation in Europe. Applied Energy (2007), P. 187-201

DOI: 10.1016/j.apenergy.2006.05.004

[4] The meteorological information center of meteorological bureau in China, Department of Building Science in Tsinghua University. The meteorological data for thermal environment analysis in China. China Machine Press, Beijing ( 2005).

DOI: 10.7498/aps.59.8264

[5] Qingyuan Zhang, Huang J. Building standards meteorological database in China. China Machine Press, Beijing (2004).

[6] Qibiao Lin. The improvement of architecture habitat environment and building energy saving in Lingnan", South China University of Technology Journal, Guangzhou (1997), P. 48-52