A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multi-objective optimization of energy and daylighting performance of township street house in western Guangdong, China
With the development of township economy in Guangdong, a large number of street houses have been built. The requirements of township residents for the quality of living environment are constantly improving, and the energy performance of street houses is becoming increasingly prominent. The research goal is to promote the scientific design of township street houses in western Guangdong, reduce the building energy performance of township street houses and improve daylighting quality. This study investigated 18 township in Xinyi City, Guangdong Province, and summarized the characteristics of street houses in typical township. According to the survey results, Rhino-Grasshopper is used to build a benchmark model, which comprehensively considers the performance of buildings in energy and daylighting. Virtual simulation is carried out by EnergyPlus and Radiance engine, and then multi-objective optimization is carried out by Pareto method to find the optimal solution of energy and daylight performance, and to provide the recommended values of design variables. The results show that the selection of appropriate building materials and structures is of great significance to the optimization of energy performance, and the selection of window-wall ratio is the focus of daylighting environment optimization.
Multi-objective optimization of energy and daylighting performance of township street house in western Guangdong, China
With the development of township economy in Guangdong, a large number of street houses have been built. The requirements of township residents for the quality of living environment are constantly improving, and the energy performance of street houses is becoming increasingly prominent. The research goal is to promote the scientific design of township street houses in western Guangdong, reduce the building energy performance of township street houses and improve daylighting quality. This study investigated 18 township in Xinyi City, Guangdong Province, and summarized the characteristics of street houses in typical township. According to the survey results, Rhino-Grasshopper is used to build a benchmark model, which comprehensively considers the performance of buildings in energy and daylighting. Virtual simulation is carried out by EnergyPlus and Radiance engine, and then multi-objective optimization is carried out by Pareto method to find the optimal solution of energy and daylight performance, and to provide the recommended values of design variables. The results show that the selection of appropriate building materials and structures is of great significance to the optimization of energy performance, and the selection of window-wall ratio is the focus of daylighting environment optimization.
Multi-objective optimization of energy and daylighting performance of township street house in western Guangdong, China
Wu, Chun (author) / Wei, Hanyu (author) / Wang, Guoguang (author)
2022-01-01
1114469 byte
Conference paper
Electronic Resource
English
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