Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, China

Abstract

Opening windows for ventilation in summer is an essential means to improve the indoor thermal environment and enhance comfort. At present, there are much researches on the factors affecting the occupants’ window-opening behavior, and the research on their optimization strategies is relatively scarce. This paper selects 13 typical climate cities in Xinjiang, uses LBT to simulate natural ventilation through parametric modeling and conducts experimental verification. The results show that the parametric model has high fitting accuracy (RMSE0.9). Subsequent optimization using GA in an optimized solution for summer open windows suitable for all parts of Xinjiang. Southern Xinjiang has the most significant increase in comfort, followed by northern Xinjiang and the smallest in eastern Xinjiang. The most effective (47.3%) is in Korla, southern Xinjiang. Through verification and comparison with related research, the optimized solution has good generalization ability and flexibility. The research results show that the optimal ventilation strategy significantly improves indoor comfort in rural areas in this region. This paper provides an effective tool and idea for studying the aspects of increasing the efficiency of the use of natural ventilation.

Keywords

• Energy-saving behavior
• Window-opening behavior
• Residential houses
• Natural ventilation
• Parametric simulation
• Genetic algorithm