Qingyang Han , Lijie Chen , Xuanhao Tang , Tingwei Weng , Guowei Yang , Binghuang Zhang , Yaoli Zhang
{"title":"Research on TOPSIS multi-indicator evaluation model based on entropy weight method for C2N site selection","authors":"Qingyang Han , Lijie Chen , Xuanhao Tang , Tingwei Weng , Guowei Yang , Binghuang Zhang , Yaoli Zhang","doi":"10.1016/j.anucene.2025.111566","DOIUrl":null,"url":null,"abstract":"<div><div>The retrofitting of coal-fired power plants with coal-to-nuclear (C2N) technology emerges as a potent strategy for combating climate change and attaining objectives in energy transition. Technical feasibility and economical potential of C2N have been studied, however, how to select the best site from all potential candidates is still unknown. This paper introduces a TOPSIS-based multi-indicator evaluation model, employing the entropy weighting method, to explore the siting options for retrofitting Chinese coastal coal-fired power plants with nuclear technology. The findings reveal that the peak ground acceleration indicator carries the most weight, signifying its predominant influence on the evaluation scores. It is recommended that coal-fired power plants in specific southern provinces should be given priority in the implementation of the C2N strategy. The methodology and insights from this study serve as a vital reference for future research into siting challenges, facilitating the transition of coastal coal-fired power plants to cleaner and more efficient operations. This work contributes to the optimization of China’s energy mix and the advancement of sustainable development objectives.</div></div>","PeriodicalId":8006,"journal":{"name":"Annals of Nuclear Energy","volume":"221 ","pages":"Article 111566"},"PeriodicalIF":1.9000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306454925003834","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The retrofitting of coal-fired power plants with coal-to-nuclear (C2N) technology emerges as a potent strategy for combating climate change and attaining objectives in energy transition. Technical feasibility and economical potential of C2N have been studied, however, how to select the best site from all potential candidates is still unknown. This paper introduces a TOPSIS-based multi-indicator evaluation model, employing the entropy weighting method, to explore the siting options for retrofitting Chinese coastal coal-fired power plants with nuclear technology. The findings reveal that the peak ground acceleration indicator carries the most weight, signifying its predominant influence on the evaluation scores. It is recommended that coal-fired power plants in specific southern provinces should be given priority in the implementation of the C2N strategy. The methodology and insights from this study serve as a vital reference for future research into siting challenges, facilitating the transition of coastal coal-fired power plants to cleaner and more efficient operations. This work contributes to the optimization of China’s energy mix and the advancement of sustainable development objectives.
期刊介绍:
Annals of Nuclear Energy provides an international medium for the communication of original research, ideas and developments in all areas of the field of nuclear energy science and technology. Its scope embraces nuclear fuel reserves, fuel cycles and cost, materials, processing, system and component technology (fission only), design and optimization, direct conversion of nuclear energy sources, environmental control, reactor physics, heat transfer and fluid dynamics, structural analysis, fuel management, future developments, nuclear fuel and safety, nuclear aerosol, neutron physics, computer technology (both software and hardware), risk assessment, radioactive waste disposal and reactor thermal hydraulics. Papers submitted to Annals need to demonstrate a clear link to nuclear power generation/nuclear engineering. Papers which deal with pure nuclear physics, pure health physics, imaging, or attenuation and shielding properties of concretes and various geological materials are not within the scope of the journal. Also, papers that deal with policy or economics are not within the scope of the journal.