摘要
该文基于中国光伏资源的时空分布,研究并提出一种基于ArcGIS与多因子评价的光伏电站选址及发电潜力预测模型。利用ArcGIS软件与层次分析法,综合考虑多种影响大型光伏电站建设的因素,对不同地势和土地类型赋予不同的光伏利用系数,得到大型光伏电站建设适宜度、光伏潜力与光伏电站选址的多因子评价模型。基于该模型得出中国光伏发电潜力并给出光伏电站选址建议。评估结果表明,全国年光伏总发电量约为570.07×10^(6)kWh,其中新疆为年光伏总发电量最高的省份。中国较为适宜建设光伏电站的地区主要为西北部地区,其中适宜区面积为1.08×10^(6)km^(2),最适宜区面积为2.10×10^(5)km^(2),研究可结果将为中国光伏产业长期的规划与建设提供可靠的理论依据。
Based on the spatial and temporal distribution of photovoltaic resources in China,this paper studies and proposes a prediction model for the location of photovoltaic power stations and potential of photovoltaic power based on ArcGIS and multi-criteria evaluation.ArcGIS software and analytical hierarchy process were used to comprehensively consider a variety of factors affecting the construction of large-scale photovoltaic power stations,and different photovoltaic utilization coefficients were assigned to different terrain and land types,so as to obtain a multi-factor evaluation model of the suitability of large-scale photovoltaic power station construction,photovoltaic potential and photovoltaic power station location.Based on the model,the potential of photovoltaic power generation in various regions in China is obtained and the suggestions on the location of photovoltaic power stations are given.The evaluation results show that the total annual photovoltaic power generation in China is about 570.07×10^(6)kWh,among which Xinjiang is the province with the highest total annual photovoltaic power generation.The most suitable areas for the construction of photovoltaic power stations in China are the northwest region,in which the suitable area is 1.08×10^(6)km^(2),and the most suitable area is 2.10×10^(5)km^(2).The conclusion will provide a reliable theoretical basis for the long-term planning and construction of China's photovoltaic industry.
作者
王海金
唐若笠
周雨诗
张彦
Wang Haijin;Tang Ruoli;Zhou Yushi;Zhang Yan(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan 430063,China;School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2023年第11期120-130,共11页
Acta Energiae Solaris Sinica
基金
国家重点研发计划(2021YFB2601601)
湖北省自然科学基金(2023AFD185)。
关键词
光伏组件
光伏电站
选址
层次分析法
地理信息系统
photovoltaic modules
PV power station
site selection
analytic hierarchy process
geographic information system
