Optimization of green building design to achieve green building index (GBI) using genetic algorithm (GA)

Muhamad Farhin Harun, A. A. Samah, H. Majid, Y. Yusoff, Y. Lim
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引用次数: 10

Abstract

Designing a feasible green building that complies with national green building assessment is one of the main problems faced by architects. The existing Building Information Modelling (BIM) software, is used by architects to assist them to design a green building. Green building is a concept where the building is environmentally friendly to the surrounding, does not use too much electricity and have low Overall Thermal Transfer Value (OTTV). Architects having some tough time to design green building because OTTV of the building majorly affected by wall and window material used. Hence in this study, single objective Genetic Algorithm (GA) is proposed to optimize green building designed by BIM. A decision support system using GA optimization is proposed to optimize green building designed using BIM. The goal is to find an optimum material combination that produces nearly optimum OTTV. The initial result shows that GA manages to find optimum materials combination with a reduced 16% OTTV.
利用遗传算法优化绿色建筑设计,实现绿色建筑指标
设计出符合国家绿色建筑评价标准的可行的绿色建筑是建筑师面临的主要问题之一。现有的建筑信息模型(BIM)软件被建筑师用来协助他们设计绿色建筑。绿色建筑是指建筑对周围环境友好,不使用太多电力,总热传导值(OTTV)低的概念。建筑师在设计绿色建筑时遇到了一些困难,因为建筑的OTTV主要受墙壁和窗户材料的影响。因此,本研究提出单目标遗传算法(GA)对BIM设计的绿色建筑进行优化。提出了一种基于遗传算法的绿色建筑优化决策支持系统。目标是找到一种最佳的材料组合,产生接近最佳的otv。初步结果表明,遗传算法成功地找到了最佳材料组合,并降低了16%的OTTV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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