Linnan Tang , Yu Liu , Yuchun Pan , Yanmin Ren , Lan Yao , Xiaolan Li
{"title":"中国凉山州太阳能光伏电站选址优化:政策整合、多标准空间规划框架","authors":"Linnan Tang , Yu Liu , Yuchun Pan , Yanmin Ren , Lan Yao , Xiaolan Li","doi":"10.1016/j.solener.2024.113012","DOIUrl":null,"url":null,"abstract":"<div><div>The development of solar photovoltaic (PV) energy is essential for China to meet its ’dual-carbon’ goals and shift towards cleaner energy sources. Site selection, a key early step, often neglects land spatial planning constraints and suffers from subjective decision-making ambiguity. This study introduces a novel framework for identifying optimal sites for PV plants within China’s spatial planning. Through two screening stages and three decision-making processes validated in Liangshan Prefecture (LS), where solar and hydro resources are abundant. Criteria such as orography, climate, economy, and hydro-solar complementarity are evaluated to determine PV land suitability. Utilizing the triangular fuzzy number TOPSIS method and GIS technology, the study identifies the desirable areas for PV installations (DAPs). The study highlights that 59.66% of LS’s land is unsuitable for PV, with the remaining areas classified as highly suitable (0.56%), moderately suitable (2.31%), suitable (3.94%), and weakly suitable (33.52%). The DAPs are predominantly located in Huili, Yanyuan, and Huidong counties, while areas like Dechang and Xichang show potential for hydro-solar complementarity. Above all, the methodology aims to improve PV solar power generation efficiency, support local spatial planning and deliver economic and environmental benefits.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"283 ","pages":"Article 113012"},"PeriodicalIF":6.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing solar photovoltaic plant siting in Liangshan Prefecture, China: A policy-integrated, multi-criteria spatial planning framework\",\"authors\":\"Linnan Tang , Yu Liu , Yuchun Pan , Yanmin Ren , Lan Yao , Xiaolan Li\",\"doi\":\"10.1016/j.solener.2024.113012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The development of solar photovoltaic (PV) energy is essential for China to meet its ’dual-carbon’ goals and shift towards cleaner energy sources. Site selection, a key early step, often neglects land spatial planning constraints and suffers from subjective decision-making ambiguity. This study introduces a novel framework for identifying optimal sites for PV plants within China’s spatial planning. Through two screening stages and three decision-making processes validated in Liangshan Prefecture (LS), where solar and hydro resources are abundant. Criteria such as orography, climate, economy, and hydro-solar complementarity are evaluated to determine PV land suitability. Utilizing the triangular fuzzy number TOPSIS method and GIS technology, the study identifies the desirable areas for PV installations (DAPs). The study highlights that 59.66% of LS’s land is unsuitable for PV, with the remaining areas classified as highly suitable (0.56%), moderately suitable (2.31%), suitable (3.94%), and weakly suitable (33.52%). The DAPs are predominantly located in Huili, Yanyuan, and Huidong counties, while areas like Dechang and Xichang show potential for hydro-solar complementarity. Above all, the methodology aims to improve PV solar power generation efficiency, support local spatial planning and deliver economic and environmental benefits.</div></div>\",\"PeriodicalId\":428,\"journal\":{\"name\":\"Solar Energy\",\"volume\":\"283 \",\"pages\":\"Article 113012\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Solar Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038092X24007072\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solar Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038092X24007072","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Optimizing solar photovoltaic plant siting in Liangshan Prefecture, China: A policy-integrated, multi-criteria spatial planning framework
The development of solar photovoltaic (PV) energy is essential for China to meet its ’dual-carbon’ goals and shift towards cleaner energy sources. Site selection, a key early step, often neglects land spatial planning constraints and suffers from subjective decision-making ambiguity. This study introduces a novel framework for identifying optimal sites for PV plants within China’s spatial planning. Through two screening stages and three decision-making processes validated in Liangshan Prefecture (LS), where solar and hydro resources are abundant. Criteria such as orography, climate, economy, and hydro-solar complementarity are evaluated to determine PV land suitability. Utilizing the triangular fuzzy number TOPSIS method and GIS technology, the study identifies the desirable areas for PV installations (DAPs). The study highlights that 59.66% of LS’s land is unsuitable for PV, with the remaining areas classified as highly suitable (0.56%), moderately suitable (2.31%), suitable (3.94%), and weakly suitable (33.52%). The DAPs are predominantly located in Huili, Yanyuan, and Huidong counties, while areas like Dechang and Xichang show potential for hydro-solar complementarity. Above all, the methodology aims to improve PV solar power generation efficiency, support local spatial planning and deliver economic and environmental benefits.
期刊介绍:
Solar Energy welcomes manuscripts presenting information not previously published in journals on any aspect of solar energy research, development, application, measurement or policy. The term "solar energy" in this context includes the indirect uses such as wind energy and biomass