A Comprehensive Evaluation Model of Buildings Based on Improved TOPSIS

被引:0
|
作者
Jiang Y. [1 ]
Fu J. [2 ]
Li Z. [2 ]
Zhang Y. [3 ]
Yin J. [4 ]
Yao J. [4 ]
机构
[1] State Grid Hunan Electric Power Co., Ltd., Changsha
[2] School ol Electrical and Information Engineering, Changsha University of Science and Technology, Changsha
[3] College of Electrical Engineering and New Energy, China Three Gorges University, Hubei, Yichang
[4] College of Electrical and Information Engineering, Hunan University, Changsha
关键词
analytic hierarchy process (AHP); entropy weight method; gray correlation algorithm; improved technique for order preference by similarity to ideal solution (TOPSIS); office buildings;
D O I
10.16183/j.cnki.jsjtu.2022.117
中图分类号
学科分类号
摘要
In order to evaluate the operation of energy consumption, environmental protection, and economy, a multi-index comprehensive evaluation model based on an improved technique for order preference by similarity to ideal solution (TOPSIS) is proposed. Based on the analysis of building operation, a multi-index evaluation system is constructed. Then, an improved TOPSIS evaluation method is introduced and a distance measure of the TOPSIS evaluation model by the gray correlation algorithm and analytic hierarchy process (AHP)-entropy weight method is determined. Next, a multi-attribute weighted evaluation model is established to analyze the building operation comprehensively. The multi-index evaluation of eight power office buildings indicates that the building comprehensive evaluation results vary with time and the energy consumption index score plays the main role in all indexes. A comparison of the evaluation results with those obtained by other evaluation methods verifies the effectiveness of the proposed building multi-index evaluation model. © 2023 Shanghai Jiao Tong University. All rights reserved.
引用
收藏
页码:868 / 877
页数:9
相关论文
共 22 条
  • [1] ZHAO Jingqian, MI Hanning, CHENG Haowen, Et al., A planning model and method for an integrated port energy system considering shore power load flex-ibility, Journal of Shanghai Jiao long University, 55, 12, pp. 1577-1585, (2021)
  • [2] WANG Wenbin, ZHENG Shujiang, FAN Ruixiang, Et al., Performance evaluation index and method of micro-grid distributed electricity trading under the background of "carbon peaking and carbon neutrality, Journal of Shanghai Jiao long University, 56, 3, pp. 312-324, (2022)
  • [3] WANG Libin, SUN Xunhang, YANG Di, Et al., Comprehensive evaluation of energy utilization health status of specialized transformer customers based on big data, Smart Power, 49, 12, pp. 96-103, (2021)
  • [4] CHEN Baisen, LIAO Qmgfen, LIU Dichen, Et al., Comprehensive evaluation indices and methods for regional integrated energy system, Automation of Electric Power Systems, 42, 4, pp. 174-182, (2018)
  • [5] ZHANG Shixiang, LU Shuaikang, Evaluation method of park-level integrated energy system for micro-grid, Power System Technology, 42, 8, pp. 2431-2439, (2018)
  • [6] LI Jinliang, LIU Huaidong, WANG Ruizhuo, Et al., Comprehensive efficiency evaluation of integrated energy system based on cross-super-efficiency CCR model, Automation of Electric Power Systems, 44, 11, pp. 78-86, (2020)
  • [7] DONG Fugui, ZHANG Ye, SHANG Meimei, Multi-criteria comprehensive evaluation of distributed energy system [J], Proceedings of the CSEE, 36, 12, pp. 3214-3223, (2016)
  • [8] GUO Yanfei, REN Xuegm, JU Li, Et al., The comprehensive efficiency evaluation method for integrated energy system based on AHP, Journal of Electric Power Science & Technology, 33, 4, pp. 121-128, (2018)
  • [9] ZHAO Hongshan, LI Jingxuan, Energy efficiency evaluation model of park customers based on PSR and improved grey TOPSIS[J], Electric Power, 55, 3, pp. 203-212, (2022)
  • [10] REN H B, GAO W J, ZHOU W S, Et al., Multi-criteria evaluation for the optimal adoption of distributed residential energy systems in Japan, Energy Policy, 37, 12, pp. 5484-5493, (2009)