成果归属机构：

土地科学技术学院

作者：

Tang, Linnan ; Liu, Yu ; Pan, Yuchun ; Ren, Yanmin ; Yao, Lan ; Li, Xiaolan

单位：

China Univ Geosci Beijing, Sch Land Sci & Technol, Beijing 100083, Peoples R China;Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China

关键词：

DECISION-ANALYSIS; POWER-PLANTS; AHP; GIS; FEASIBILITY; SELECTION; TOPSIS; WIND; INSTALLATION; HYDROPOWER

摘要：

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 decisionmaking 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.

基金：

National Key Research and Development Program of China [2022YFC3802805]; Land and Water Division of the Food and Agriculture Or-ganization of the United Nations

语种：

英文

DOI：

10.1016/j.solener.2024.113012

来源：

SOLAR ENERGY,2024():.

出版日期：

2024-11-15

提交日期：

2024-11-19

引用参考：

Tang, Linnan; Liu, Yu; Pan, Yuchun; Ren, Yanmin; Yao, Lan; Li, Xiaolan. Optimizing solar photovoltaic plant siting in Liangshan Prefecture, China: A policy-integrated, multi-criteria spatial planning framework[J]. SOLAR ENERGY,2024():.