LOCATION EVALUATION OF PHOTOVOLTAIC POWER STATIONS BASED ON ARCGIS AND MULTI-CRITERIA MODEL

Wang Haijin; Tang Ruoli; Zhou Yushi; Zhang Yan

doi:10.19912/j.0254-0096.tynxb.2022-1194

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (11) : 120-130. DOI: 10.19912/j.0254-0096.tynxb.2022-1194

LOCATION EVALUATION OF PHOTOVOLTAIC POWER STATIONS BASED ON ARCGIS AND MULTI-CRITERIA MODEL

Wang Haijin¹, Tang Ruoli¹, Zhou Yushi², Zhang Yan²

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Abstract

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 570.07×10⁶ 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 1.08×10⁶ km², and the most suitable area is 2.10×10⁵ km². The conclusion will provide a reliable theoretical basis for the long-term planning and construction of China's photovoltaic industry.

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photovoltaic modules / PV power station / site selection / analytic hierarchy process / geographic information system

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Wang Haijin, Tang Ruoli, Zhou Yushi, Zhang Yan. LOCATION EVALUATION OF PHOTOVOLTAIC POWER STATIONS BASED ON ARCGIS AND MULTI-CRITERIA MODEL[J]. Acta Energiae Solaris Sinica. 2023, 44(11): 120-130 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1194

References

[1] 中国在沙漠、戈壁、荒漠地区加快建设大型风光基地项目[J]. 电力系统装备, 2022(3): 9.
China has accelerated the construction of large-scale landscape bases in deserts, Gobi and desert areas[J]. Electric power system equipment, 2022(3): 9.
[2] CHOI Y, RAYL J, TAMMINEEDI C, et al.PV Analyst: coupling ArcGIS with TRNSYS to assess distributed photovoltaic potential in urban areas[J]. Solar energy, 2011, 85(11): 2924-2939.
[3] HAN J Y, CHEN Y C, LI S Y.Utilising high-fidelity 3D building model for analysing the rooftop solar photovoltaic potential in urban areas[J]. Solar energy, 2022, 235: 187-199.
[4] CHEN F Y, YANG Q, ZHENG N T, et al.Assessment of concentrated solar power generation potential in China based on geographic information system(GIS)[J]. Applied energy, 2022, 315: 119045.
[5] 张乾, 辛晓洲, 张海龙, 等. 基于遥感数据和多因子评价的中国地区建设光伏电站的适宜性分析[J]. 地球信息科学学报, 2018, 20(1): 119-127.
ZHANG Q, XIN X Z, ZHANG H L, et al.Suitability analysis of photovoltaic power plants in China using remote sensing data and multicriteria evaluation[J]. Journal of geo-information science, 2018, 20(1): 119-127.
[6] 王利珍, 谭洪卫, 庄智, 等. 基于GIS平台的我国太阳能光伏发电潜力研究[J]. 上海理工大学学报, 2014, 36(5): 491-496.
WANG L Z, TAN H W, ZHUANG Z, et al.Evaluation of the photovoltaic solar energy potential in China based on GIS platform[J]. Journal of University of Shanghai for Science and Technology, 2014, 36(5): 491-496.
[7] QIU T Z, WANG L C, LU Y B, et al.Potential assessment of photovoltaic power generation in China[J]. Renewable and sustainable energy reviews, 2022, 154: 111900.
[8] 毛爱涵, 李发祥, 杨思源, 等. 青海省清洁能源发电潜力及价值分析[J]. 资源科学, 2021, 43(1): 104-121.
MAO A H, LI F X, YANG S Y, et al.Clean energy power generation potential and value in Qinghai Province[J]. Resources science, 2021, 43(1): 104-121.
[9] 罗金库. 广西山地光伏电站项目前期选址工作探析[J]. 红水河, 2021, 40(4): 85-88.
LUO J K.Preliminary site selection of Guangxi Mountain photovoltaic power station project[J]. Hongshui river, 2021, 40(4): 85-88.
[10] 李付林. 影响光伏电站选址布局的因素分析[J]. 经济研究导刊, 2019(36): 21-22, 34.
LI F L.Analysis of factors affecting the location and layout of photovoltaic power station[J]. Economic research guide, 2019(36): 21-22, 34.
[11] MAJUMDAR D, PASQUALETTI M J.Analysis of land availability for utility-scale power plants and assessment of solar photovoltaic development in the state of Arizona, USA[J]. Renewable energy, 2019, 134: 1213-1231.
[12] NOOROLLAHI E, FADAI D, AKBARPOUR SHIRAZI M, et al.Land suitability analysis for solar farms exploitation using GIS and fuzzy analytic hierarchy process (FAHP)-a case study of Iran[J]. Energies, 2016, 9(8): 643.
[13] 江东, 王娣, 付晶莹, 等. 内蒙古自治区未利用土地可再生能源潜力评估[J]. 科技导报, 2020, 38(11): 60-69.
JIANG D, WANG D, FU J Y, et al.Assessment of potential of renewable energy to be proclaced on unused land in Inner Mongolia Autonomous Region[J]. Science & technology review, 2020, 38(11): 60-69.
[14] 段莹, 廖留峰, 杨娟, 等. 基于GIS的石漠化区域光伏项目建设适宜容量估算: 以镇宁县、紫云县和关岭县为例[J]. 中低纬山地气象, 2021, 45(6): 26-30.
DUAN Y, LIAO L F, YANG J, et al.Estimation of suitable capacity of photovoltaic project based on GIS in rocky desertification area: a case study of Zhenning, Ziyun and Guanling[J]. Mid-low latitude mountain meteorology, 2021, 45(6): 26-30.
[15] ALHAMMAD A, SUN Q C, TAO Y G.Optimal solar plant site identification using GIS and remote sensing: framework and case study[J]. Energies, 2022, 15(1): 312.
[16] 周扬, 吴文祥, 胡莹, 等. 西北地区太阳能资源空间分布特征及资源潜力评估[J]. 自然资源学报, 2010, 25(10): 1738-1749.
ZHOU Y, WU W X, HU Y, et al.The temporal-spatial distribution and evaluation of potential solar energy resources in northwest China[J]. Journal of natural resources, 2010, 25(10): 1738-1749.
[17] HE G, KAMMEN D M.Where, when and how much solar is available? A provincial-scale solar resource assessment for China[J]. Renewable energy, 2016, 85: 74-82.
[18] CHEN S, LU X, MIAO Y F, et al.The potential of photovoltaics to power the Belt and Road initiative[J]. Joule, 2019, 3(8): 1895-1912.
[19] 吴九兴, 程久苗. 光伏电站选址规划研究: 以芜湖市为例[J]. 鲁东大学学报(自然科学版), 2019, 35(1): 59-65, 89.
WU J X,CHENG J M.Site selection planning of photovoltaic power station: a case study of Wuhu city[J]. Journal of Ludong University (natural science edition), 2019, 35(1): 59-65, 89.
[20] COLAK H E, MEMISOGLU T, GERCEK Y.Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: a case study of Malatya Province, Turkey[J]. Renewable energy, 2020, 149: 565-576.
[21] NOOROLLAHI Y, YOUSEFI H, MOHAMMADI M.Multi-criteria decision support system for wind farm site selection using GIS[J]. Sustainable energy technologies and assessments, 2016, 13: 38-50.
[22] 肖建华. 基于层次分析法和GIS的荒漠光伏电站选址模型研究[D]. 北京: 中国科学院大学, 2011.
XIAO J H.Study on location model of desert photovoltaic power station based on analytic hierarchy process and GIS[D]. Beijing: University of Chinese Academy of Sciences, 2011.
[23] 张小莲, 李恒聪, 胡淇, 等. 多站融合选址综合评估研究[J]. 电力工程技术, 2022, 41(2): 53-59.
ZHANG X L, LI H C, HU Q, et al.Comprehensive location evaluation of multi-station integration[J]. Electric power engineering technology, 2022, 41(2): 53-59.
[24] 马翼飞. 基于GIS的太阳能光伏能源电站选址方法的研究与应用[D]. 银川: 北方民族大学, 2020.
MA Y F.Research and application of location selection method of solar photovoltaic power station based on GIS[D]. Yinchuan: Beifang University of Nationalities, 2020.
[25] 胡淇, 周千浔, 陈玘, 等. 基于层次分析法的多站融合选址评估方法[J]. 电工技术, 2022(5): 89-95.
HU Q, ZHOU Q X, CHEN Q, et al.Multi-station integrated location evaluation method based on analytic hierarchy process[J]. Electric engineering, 2022(5): 89-95.
[26] 贠旭明. 光伏发电系统发电效率评估[D]. 北京: 华北电力大学, 2017.
YUAN X M.Photovoltaic power generation system efficiency evaluation[D]. Beijing: North China Electric Power University, 2017.
[27] 谢国辉, 李娜娜, 汪晓露, 等. 全球大型光伏电站基地开发潜力分析[J]. 智慧电力, 2018, 46(4): 1-5.
XIE G H, LI N N, WANG X L, et al.Study on development potential of global large scale PV power base[J]. Smart power, 2018, 46(4): 1-5.
[28] 张佳平. 光伏系统发电效率的影响因素[J]. 上海节能, 2022(1): 56-61.
ZHANG J P.Factors affecting power generation efficiency of photovoltaic system[J]. Shanghai energy conservation, 2022(1): 56-61.
[29] WANG S F, KOCH B.Determining profits for solar energy with remote sensing data[J]. Energy, 2010, 35(7): 2934-2938.
[30] 梁玉莲, 申彦波, 白龙, 等. 华南地区太阳能资源评估与开发潜力[J]. 应用气象学报, 2017, 28(4): 481-492.
LIANG Y L, SHEN Y B, BAI L, et al.Assessment of solar energy resource and its exploitation potential in South China[J]. Journal of applied meteorological science, 2017, 28(4): 481-492.
[31] 张华, 王立雄, 李卓. 城市建筑屋顶光伏利用潜力评估方法及其应用[J]. 城市问题, 2017(2): 33-39.
ZHANG H, WANG L X, LI Z.Evaluation method and application of photovoltaic potential of urban building roof[J]. Urban problems, 2017(2): 33-39.