Research on multi-criteria evaluation of integrated energy systems based on the analytic hierarchy process-entropy weight method and grey relational analysis

As a key link in the energy transition,integrated energy systems are increasingly being recognized by countries around the world. It is urgent to establish a suitable multi-energy system evaluation system and method. This paper takes the integrated energy system in a park as the research object, combining its operational characteristics, and establishes an IES evaluation system from the energy, environmental, and economic dimensions. The combination weights of the indicators are obtained by combining the analytic hierarchy process and the entropy weight method, and the combination weights are evaluated by using the grey relational analysis method. Finally, through the example analysis, the validity of the proposed comprehensive evaluation system and evaluation method is verified.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914280
Primary Topic
Smart Grid and Power Systems
Type
article
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Research on multi-criteria evaluation of integrated energy systems based on the analytic hierarchy process-entropy weight method and grey relational analysis

Jia Wan, An Zhu, Xiaoyu Mao, Wenwen Li et al.
Smart Grid and Power Systems
article

Research on multi-criteria evaluation of integrated energy systems based on the analytic hierarchy process-entropy weight method and grey relational analysis

Jia Wan, An Zhu, Xiaoyu Mao, Wenwen Li, Jun Liu, Lin Yang, Yang Liu, Zhang Su
article en

Abstract

As a key link in the energy transition,integrated energy systems are increasingly being recognized by countries around the world. It is urgent to establish a suitable multi-energy system evaluation system and method. This paper takes the integrated energy system in a park as the research object, combining its operational characteristics, and establishes an IES evaluation system from the energy, environmental, and economic dimensions. The combination weights of the indicators are obtained by combining the analytic hierarchy process and the entropy weight method, and the combination weights are evaluated by using the grey relational analysis method. Finally, through the example analysis, the validity of the proposed comprehensive evaluation system and evaluation method is verified.

Shenyang University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Smart Grid and Power Systems
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