Journal of Shanghai Jiao Tong University ›› 2023, Vol. 57 ›› Issue (7): 868-877.doi: 10.16183/j.cnki.jsjtu.2022.117

Special Issue: 《上海交通大学学报》2023年“新型电力系统与综合能源”专题

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

A Comprehensive Evaluation Model of Buildings Based on Improved TOPSIS

JIANG Yi1, FU Juncheng2, LI Zewen2, ZHANG Yuqing3, YIN Jungang4(), YAO Jiangang4   

  1. 1. State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China
    2. School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
    3. College of Electrical Engineering and New Energy,China Three Gorges University, Yichang 443002, Hubei, China
    4. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
  • Received:2022-04-18 Revised:2023-01-18 Accepted:2023-02-24 Online:2023-07-28 Published:2023-07-28
  • Contact: YIN Jungang E-mail:yinjungang126@126.com

Abstract:

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.

Key words: improved technique for order preference by similarity to ideal solution (TOPSIS), analytic hierarchy process (AHP), entropy weight method, gray correlation algorithm, office buildings

CLC Number: