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

ZHAI Yingni; WANG Yi; GENG Dan; MENG Xiaojing

doi:10.13204/j.gyjzG19112510

Volume 50 Issue 7

Oct. 2020

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2020 > 50(7): 56-61,67

ZHAI Yingni, WANG Yi, GENG Dan, MENG Xiaojing. RESEARCH ON THE MULTI-FACTOR AND MULTI-OBJECTIVE OPTIMIZATION METHOD FOR THE DESIGN PARAMETERS OF TRANSPARENT ENVELOPE OF MACHINE WORKSHOP[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(7): 56-61,67. doi: 10.13204/j.gyjzG19112510

Citation:

ZHAI Yingni, WANG Yi, GENG Dan, MENG Xiaojing. RESEARCH ON THE MULTI-FACTOR AND MULTI-OBJECTIVE OPTIMIZATION METHOD FOR THE DESIGN PARAMETERS OF TRANSPARENT ENVELOPE OF MACHINE WORKSHOP[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(7): 56-61,67. doi: 10.13204/j.gyjzG19112510

Citation:

ZHAI Yingni, WANG Yi, GENG Dan, MENG Xiaojing. RESEARCH ON THE MULTI-FACTOR AND MULTI-OBJECTIVE OPTIMIZATION METHOD FOR THE DESIGN PARAMETERS OF TRANSPARENT ENVELOPE OF MACHINE WORKSHOP[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(7): 56-61,67. doi: 10.13204/j.gyjzG19112510

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

doi: 10.13204/j.gyjzG19112510

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

Received Date: 2020-02-24
Publish Date: 2020-10-17

Abstract

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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References(18)

References

中华人民共和国国家统计局. 中国统计年鉴[M]. 北京:中国统计出版社, 2017.

中华人民共和国住房和城乡建设部. 工业建筑节能设计统一标准:GB 51245-2017[S]. 北京:中国计划出版社, 2017.

王彦. 某制药厂房的空调系统模拟及能耗分析[D]. 杭州:浙江工业大学, 2017.

LEE J W, JUNG H J, PARK J Y, et al. Optimization of Building Window System in Asian Regions by Analyzing Solar Heat Gain and Daylighting Elements[J]. Renewable Energy, 2013, 50:522-531.

SUSOROVA I, TABIBZADEH M, RAHMAN A, et al. The Effect of Geometry Factors on Fenestration Energy Performance and Energy Savings in Office Buildings[J]. Energy and Buildings, 2013, 57:6-13.

MA P, WANG L, GUO N. Maximum Window-to-Wall Ratio of a Thermally Autonomous Building as a Function of Envelope U-Value and Ambient Temperature Amplitude[J]. Applied Energy, 2015, 146:84-91.

GAN V J L, WONG H K, TSE K T, et al. Simulation-Based Evolutionary Optimization for Energy-Efficient Layout Plan Design of High-Rise Residential Buildings[J]. Journal of Cleaner Production, 2019, 231:1375-1388.

TIAN C, CHEN T, YANG H, et al. A Generalized Window Energy Rating System for Typical Office Buildings[J]. Solar Energy, 2010, 84(7):1232-1243.

WANG L, MA P, HU E, et al. A Study of Building Envelope and Thermal Mass Requirements for Achieving Thermal Autonomy in an Office Building[J]. Energy and Buildings, 2014, 78:79-88.

黄建恩,吕恒林,冯伟,等. 既有居住建筑围护结构节能改造热工性能优化[J]. 土木建筑与环境工程, 2013, 35(5):118-124.

陈天丽,渠滔,白宪臣. 既有中小学校建筑墙体外围护结构的节能改造技术[J]. 河南大学学报(自然科学版), 2010, 40(4):436-440.

赵西平,张志彬. 寒冷地区高校教学楼围护结构优化改造设计:以兰州交通大学电信综合教学楼为例[J]. 西安建筑科技大学学报(自然科学版), 2012(5):651-656.

ASADI S, MOSTAVI E, BOUSSAA D, et al. Building Energy Model Calibration Using Automated Optimization-Based Algorithm[J]. Energy and Buildings, 2019, 198:106-114.

王帝. 重庆地区电子装配厂房热环境优化设计研究[D]. 重庆:重庆大学, 2015.

翟颖妮,王怡,孟晓静,等. 机械厂房围护结构设计因素对能耗影响研究[J]. 建筑节能, 2019, 47(6):132-138.

WANG Q, HU Y, HAO J, et al. Exploring the Influences of Green Industrial Building on the Energy Consumption of Industrial Enterprises:A Case Study of Chinese Cigarette Manufactures[J]. Journal of Cleaner Production, 2019, 231(9):370-385.

CAMARA M V O, RIBEIRO G M, TOSTA M D C R. A Pareto Optimal Study for the Multi-Objective Oil Platform Location Problem with NSGA-II[J]. Journal of Petroleum Science and Engineering, 2018, 169:258-268.

ANSI/ASHRAE.Thernal Environmental Conditions for Human Occupany:ANSI/ASHRAE Standard 55-2017[S].ASHRAE:Tullie Cirde, 2017.

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