Study on Economic Benefit Evaluation Model of Energy-efficient Power Plant Projects with High Energy Consumption Users

Wu, Kuihua; Zheng, Zhong; Li, Hao; Liu, Bo; Zhao, Li; Li, Kai; Wen, Zhang; Liu, Shuli

doi:10.1109/acpee48638.2020.9136391

Cited by 1 publication

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“…To avoid the negative influence of different dimensions on the results, dimensionless processing of Z* is carried out according to equation (10). After data preprocessing, the standardized energy efficiency evaluation matrix Z (2) is established.…”

Section: B Construct a Standardized Evaluation Matrixmentioning

confidence: 99%

“…The merits and demerits can be identified with a high degree of discrimination to obtain better efficiency groups [9]. For high energy consumption users, the TOPSIS method was used to evaluate economic benefits of efficiency power plant projects to provide guidance for users in [10]. A multi-index and multiworking condition energy efficiency evaluation solution for the ethylene-cracking furnace was proposed based on technique for order preference by similarity to ideal solution (TOPSIS)-DEA model in [11].…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficiency Evaluation and Optimization of Industrial Park Customers Based on PSR Model and Improved Grey-TOPSIS Method

Zhao

2021

IEEE Access

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Energy efficiency evaluation of industrial park customers is carried out to help customers develop optimization strategies and improve the energy efficiency level. The evaluation indexes are proposed based on pressure-state-response (PSR) model and the redundant indexes are selected by combining principal component analysis (PCA) and correlation analysis. Thus the dynamic energy efficiency index system is constructed. The weight of indexes is calculated by the entropy weight method (EWM). An energy efficiency evaluation model based on improved Grey-technique for order preference by similarity to ideal solution (TOPSIS) is proposed, which replaces the Euclidean distance by weighted grey correlation degree and can accurately evaluate customers' energy efficiency level. An energy efficiency optimization model is proposed, which can maximize optimization benefits while improving energy efficiency. The validity of the evaluation and optimization models is verified by the case study of an industrial park.INDEX TERMS Energy efficiency evaluation, industrial park customers, pressure-state-response model, Grey-technique for order preference by similarity to ideal solution, energy efficiency optimization This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

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Section: B Construct a Standardized Evaluation Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%