【作者】 张露； 刘启波；

【Author】 Zhang Lu;Liu Qibo;Department of Architecture,Chang’an University;

【机构】 长安大学建筑学院；

【摘要】 随着计算机技术的发展,遗传算法被逐步应用在建筑自然采光优化设计中。本文以西安地区高校典型教室为研究对象,选用Rhino-Grasshopper平台中的光环境模拟软件Honeybee和遗传算法优化工具Galapagos,以提高教室有效采光照度为目标,结合遗传算法改变教室窗户高度、窗户宽度、窗户数量以及窗台高度四个变量,对影响高校教室自然采光的变量进行量化分析,得出了最优采光效果的变量参数。该研究结果可以为今后高校教室自然采光优化设计提供依据。更多还原

【Abstract】 With the development of computer technology,genetic algorithms have been gradually applied to the optimization design of natural lighting in buildings.This article takes the typical classrooms of universities in Xi’an as the research object,selects the light environment simulation software Honeybee and the genetic algorithm optimization tool Galapagos in the Rhino-Grasshopper platform,aims to improve the useful daylight illuminance of the classroom,combines the genetic algorithm to change the four variables of classroom window height,window width,number of windows and window sill height,quantitatively analyzes the variables affecting the natural lighting of college classrooms,and obtains the variable parameters of the optimal lighting effect.The research results can provide a basis for optimizing the design of natural lighting in university classrooms in the future.更多还原