期刊名称：International Journal of Environmental Science and Development
印刷版ISSN：2010-0264
出版年度：2016
卷号：7
期号：5
页码：379-384
DOI：10.7763/IJESD.2016.V7.804
摘要：AbstractResidential buildings are responsible for a significant percentage of energy use and a huge amount of this energy is used for heating and cooling. Efficient natural ventilation is known as method to reduce the cooling energy use. Almost all of the building in modern cities can only use single-sided natural ventilation and façade design is known as an effective factor in wind driven single-sided ventilation of modern buildings. This research aims to develop a methodology to optimize façade design options in order to gain enough single-sided natural ventilation for a residential block. By means of wind-driven single-sided ventilation we are going to gain our three performance objectives which are thermal comfort and indoor air quality for the occupants and minimizing cooling energy consumption. To achieve this, an integration of genetic algorithm (GA), artificial neural network (ANN) and computational fluid dynamics (CFD) is proposed.
