面向节能的建筑设计多目标优化方法  

Multi-objective optimization algorithm for building energy-saving design

作　　者：张勇 梁晓珂 袁丽娟 ZHANG Yong;LIANG Xiaoke;YUAN Lijuan(School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,Jiangsu China)

机构地区：[1]中国矿业大学信息与控制工程学院,江苏徐州221116

出　　处：《华中科技大学学报（自然科学版）》2021年第7期107-112,共6页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：徐州市重点研发计划资助项目(KC20184);国家自然科学基金面上项目(61876185)。

摘　　要：考虑绿色建筑设计时重点关注的两个指标(节能和舒适度),建立绿色建筑节能设计的多目标优化模型;采用建筑能耗模拟软件EnergyPlus评价个体的适应值,利用基于分解的多目标进化算法优化上述模型,给出融合EnergyPlus的建筑节能多目标进化优化算法及其执行方法.以我国北方常见的多房间居民建筑为例进行多目标优化,结果表明:相比NSGA-II等经典智能优化设计算法,所提方法在只增加了0.61%能耗的基础上减少了1.29%的不舒适时间.Considering the two main indicators in green building design(energy-saving and comfort degree),a multi-objective optimization model for building energy-saving design was established.Using the building energy consumption simulation software Energy Plus to evaluate an individual’s fitness,and using the decomposition-based multi-objective evolutionary algorithm to optimize the above model,a multi-objective evolutionary optimization and its execution method integrating Energy Plus was proposed for building energy-saving design problems.Taking a common multi-room residential building in north of China as an example for multi-objective optimization,experimental results show that compared with the classical intelligent optimization design algorithms such as NSGA-II,the proposed method reduces the uncomfortable time by 1.29%on the basis of only 0.61%increase in energy consumption.

关 键 词：节能建筑 舒适度 多目标优化 建筑能耗模拟 多目标进化算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]