Title: An evaluation of low-carbon collaborative emission reduction effect of new energy wind and solar power generation based on set pair analysis

Authors: Peidong He; Xiaojun Li; Shijiong Yuan; Keli Liu; Xiaoxiao Yang

Addresses: State Grid Sichuan Electric Power Corporation Metering Centre, Chengdu, Sichuan, China ' State Grid Sichuan Electric Power Corporation Metering Centre, Chengdu, Sichuan, China ' State Grid Sichuan Electric Power Corporation Metering Centre, Chengdu, Sichuan, China ' State Grid Sichuan Electric Power Corporation Metering Centre, Chengdu, Sichuan, China ' State Grid Sichuan Electric Power Corporation Metering Centre, Chengdu, Sichuan, China

Abstract: In order to overcome the problems of poor accuracy and poor evaluation of emission reduction effects, this article introduces set pair analysis to evaluate the low-carbon collaborative emission reduction effect of new energy solar power generation. Firstly, an evaluation index system is constructed. Then, the subjective weight of the indicators is calculated using the intuitive fuzzy analytic hierarchy process, the objective weight is calculated using the entropy weight method and the comprehensive weight value of the indicators is calculated using game theory. Finally, the emission reduction effect evaluation function is constructed using set pair analysis theory, and the evaluation level is determined using confidence to obtain the final evaluation result. The results show that the evaluation accuracy of the method in this paper can reach 99.5%, and this method can accurately evaluate the low-carbon collaborative emission reduction effect of new energy wind power generation.

Keywords: set pair analysis; new energy; wind and solar power generation; low carbon; collaborative emission reduction; effect evaluation.

DOI: 10.1504/IJGEI.2025.147242

International Journal of Global Energy Issues, 2025 Vol.47 No.4/5, pp.480 - 500

Received: 20 Sep 2023
Accepted: 07 Feb 2024
Published online: 14 Jul 2025 *

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