Multiobjective optimization design of green building envelope material using a non-dominated sorting genetic algorithm

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• 作者：Ming-Der Yang^a ; Min-Der Lin^b ; Yu-Hao Lin^c ; Kang-Ting Tsai^d ; ^{kttsai@nchu.edu.tw}
• 关键词：Green building ; Multiobjective optimization ; Nondominated sorting genetic algorithm (NSGA-II) ; Building envelope ; Energy conservation
• 刊名：Applied Thermal Engineering
• 出版年：2017
• 出版时间：25 January 2017
• 年：2017
• 卷：111
• 期：Complete
• 页码：1255-1264
• 全文大小：2607 K
• 卷排序：111

文摘

An effective envelope energy performance model (BEM) was developed. We integrated NSGA-II with the BEM to optimize the green building envelope. A tradeoff plan of green building design for three conflict objectives was obtained. The optimal envelope design efficiently reduced the construction cost of green building.