绿色低碳社区的公共空间照明优化设计研究  

Research on Public Space Lighting Optimization Design in Green and Low-carbon Community

作　　者：田芳 袁梦轩 

机构地区：[1]河北工程大学建筑与艺术学院

出　　处：《建筑与文化》2024年第10期131-133,共3页Architecture & Culture

基　　金：河北省社会科学基金(项目编号:HB23SH030)。

摘　　要：绿色低碳社区的公共空间照明设计与绿色低碳理念的实践紧密相关。文章基于绿色低碳社区公共空间的照明需求,探索了其照明优化设计的方法,运用仿真模拟和遗传算法相结合的方式求取满足照明需求且能耗最低的照明优化方案,并与现状方案进行对比分析。结果表明,使用遗传算法进行照明设计后,优化节能的效果更加显著且效率更高。The lighting design of public space in green and low-carbon community is closely related to the practice of green and low-carbon concept.Based on the lighting requirements of public spaces in green and low-carbon communities,this paper explores the lighting optimization design methods,uses the combination of simulation simulation and genetic algorithm to find the lighting optimization scheme that meets the lighting requirements and has the lowest energy consumption,and makes a comparison and analysis with the current scheme.The results show that the energy saving effect and efficiency of lighting design optimization using genetic algorithm are more significant.

关 键 词：绿色低碳社区 公共空间 仿真模拟 遗传算法 照明设计 

分 类 号：TU113.666[建筑科学—建筑理论]