多因素、多目标条件下机械加工厂房透明围护结构设计参数优化方法研究

翟颖妮; 王怡; 耿丹; 孟晓静

doi:10.13204/j.gyjzG19112510

多因素、多目标条件下机械加工厂房透明围护结构设计参数优化方法研究

doi: 10.13204/j.gyjzG19112510

翟颖妮^1,2,
王怡^1,3,
耿丹^1,2,
孟晓静^1,4

1. 西部绿色建筑国家重点实验室, 西安建筑科技大学, 西安 710055;
2. 西安建筑科技大学机电工程学院, 西安 710055;
3. 西安建筑科技大学建筑设备科学与工程学院, 西安 710055;
4. 西安建筑科技大学材料与矿资学院, 西安 710055

基金项目:

国家重点研发计划项目（2018YFC0705300）；陕西省教育厅重点实验科研计划项目（17JS070）；西安建筑科技大学基础研究基金（JC1707）。

详细信息

作者简介:
翟颖妮,女,1983年出生,副教授。电子信箱:ynzhai2013@163.com

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出版历程
- 收稿日期: 2020-02-24
- 刊出日期: 2020-10-17

RESEARCH ON THE MULTI-FACTOR AND MULTI-OBJECTIVE OPTIMIZATION METHOD FOR THE DESIGN PARAMETERS OF TRANSPARENT ENVELOPE OF MACHINE WORKSHOP

1. State Key Laboratory of Green Building in Western China, Xi'an University of Architecture and Technology, Xi'an 710055, China;
2. School of Mechanical&Electrical Engineering, Xi'an University of Architecture&Technology, Xi'an 710055, China;
3. School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;
4. School of Materials and Mineral Resources, Xi'an University of Architecture and Technology, Xi'an 710055, China

摘要

摘要: 机械加工厂房透明围护结构设计优化问题涉及因素较多，这些因素对室内光环境、热环境及能耗的影响又往往是相互矛盾、相互制约的，因此机械加工厂房透明围护结构设计优化问题是典型的多因素、多目标优化问题，应用常见的单因素、单目标优化方法进行优化分析时，往往存在顾此失彼的问题。采用优化决策领域的多目标遗传算法进行透明围护结构设计参数的优化，通过Matlab与EnergyPlus的交互，求解得到多目标情形下透明围护结构设计参数的Pareto最优方案集，分析在多目标情形下各设计参数的取值特点，对比单目标最优方案与多目标Pareto最优方案的性能，展示了对透明围护结构设计参数进行多目标优化的意义和必要性，所提多因素、多目标优化决策方法能够为建筑设计人员在工业建筑方案设计阶段提供帮助。
- 多因素 /
- 多目标 /
- 透明围护结构 /
- 优化 /
- 多目标遗传算法
Abstract: There are many parameters in the design process of the transparent envelope of machine workshop, and the influences of these parameters on the indoor light environment, thermal environment and energy consumption are often contradictory and mutually restricted. Therefore, the design optimization of the transparent envelope parameters of machine workshop is a typical multi-factor and multi-objective optimization problem. The common single factor and single objective optimization method are mostly ineffective for considering one objective while neglecting another. The multi-objective genetic algorithm was used to optimize the design parameters of the transparent envelope. Through the interaction between Matlab and EnergyPlus, the Pareto-optimal schemes of design parameters of transparent envelope were obtained. The value distribution characteristics of the design parameters were analyzed in the Pareto optimal scheme set, and the performance of single objective optimal scheme and multi-objective Pareto optimal scheme were compared. The results showed that the significance and necessity of multi-objective optimization for the design optimization of the transparent envelop parameters. The proposed multi-objective optimization decision method with multi factors can be helpful for architectural designers in the design stage of the industrial building.
- multi-factor /
- multi-objective /
- transparent envelope /
- optimization /
- multi-objective genetic algorithm

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