Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Building Energy Saving and Green Building Model System Construction Based on Genetic Algorithm
Building energy consumption is an important aspect of China's energy consumption. At the same time, the total amount of building energy consumption is also rising, which has become a huge burden of China's national economy. Therefore, building energy conservation is an urgent task. Because of the complexity of green building itself, it is very difficult to make an overall economic evaluation on it. The basic idea of green building energy-saving optimization design is to realize building energy-saving under multi-objective control through multi-factor combination optimization design. At present, although building energy conservation and green building are progressing well, there are still some problems, such as not forming a unified technical system and standard system. This paper combines the advantages of genetic algorithm in multi-objective optimization design with building energy consumption simulation, and establishes a set of green building optimization design model. The optimization results are compared with the existing green energy-saving building design specifications, and new reference values of some parameters in green building design are given.
Building Energy Saving and Green Building Model System Construction Based on Genetic Algorithm
Building energy consumption is an important aspect of China's energy consumption. At the same time, the total amount of building energy consumption is also rising, which has become a huge burden of China's national economy. Therefore, building energy conservation is an urgent task. Because of the complexity of green building itself, it is very difficult to make an overall economic evaluation on it. The basic idea of green building energy-saving optimization design is to realize building energy-saving under multi-objective control through multi-factor combination optimization design. At present, although building energy conservation and green building are progressing well, there are still some problems, such as not forming a unified technical system and standard system. This paper combines the advantages of genetic algorithm in multi-objective optimization design with building energy consumption simulation, and establishes a set of green building optimization design model. The optimization results are compared with the existing green energy-saving building design specifications, and new reference values of some parameters in green building design are given.
Building Energy Saving and Green Building Model System Construction Based on Genetic Algorithm
Wang, Peijian (Autor:in) / Tian, Zixuan (Autor:in) / Wang, Zijing (Autor:in) / Li, Chu'an (Autor:in)
01.12.2022
675837 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch