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应用灰色关联改进TOPSIS法的双层光伏外窗建筑采光与能耗性能评价
引用本文:林成楷,程远达,杨晋明,高峰,秦智胜,吴璠. 应用灰色关联改进TOPSIS法的双层光伏外窗建筑采光与能耗性能评价[J]. 华侨大学学报(自然科学版), 2021, 0(6): 792-799. DOI: 10.11830/ISSN.1000-5013.202102038
作者姓名:林成楷  程远达  杨晋明  高峰  秦智胜  吴璠
作者单位:太原理工大学 土木工程学院, 山西 太原 030024
摘    要:为更好地评价双层光伏外窗建筑的采光与能耗性能,应用灰色关联改进TOPSIS法建立双层光伏外窗建筑采光与能耗的评价模型.以最小相对贴近度为评价标准,对不同的双层光伏外窗建筑设计方案进行优化.结果表明:所建立的模型可以较好地评价双层光伏外窗建筑的采光与能耗性能;由于双层光伏外窗建筑的采光质量与能耗性能存在差异,应同时从采光与能耗性能角度进行全面评价,并进行整体性优化.

关 键 词:双层光伏外窗  采光与能耗评价  灰色关联分析  TOPSIS法  方案优化

Daylighting and Energy Consumption Performance Evaluation of Double-Layer Photovoltaic Exterior Window Buildings Using Improved TOPSIS Method of Grey Relational
LIN Chengkai,CHENG Yuanda,YANG Jinming,GAO Feng,QIN Zhisheng,WU Fan. Daylighting and Energy Consumption Performance Evaluation of Double-Layer Photovoltaic Exterior Window Buildings Using Improved TOPSIS Method of Grey Relational[J]. Journal of Huaqiao University(Natural Science), 2021, 0(6): 792-799. DOI: 10.11830/ISSN.1000-5013.202102038
Authors:LIN Chengkai  CHENG Yuanda  YANG Jinming  GAO Feng  QIN Zhisheng  WU Fan
Affiliation:School of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Abstract:In order to better evaluate the daylighting and energy consumption performance of double-layer photovoltaic exterior windows buildings, an evaluation model for the building using the improved TOPSIS method of gray correlation is established. With the minimum relative closeness as the evaluation criterion, the design schemes of different double-layer photovoltaic exterior windows are optimized. The results show that the established model can better evaluate the daylighting and energy consumption performance of double-layer photovoltaic exterior window buildings. Because the lighting quality and energy consumption performance of double-layer photovoltaic exterior window buildings are different, the daylighting and energy consumption performance should be both evaluated comprehensively and optimized as a whole.
Keywords:double-layer photovoltaic exterior window  daylighting and energy consumption evaluation  grey correlation analysis  TOPSIS method  plan optimization
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