The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection
Large-scale Photovoltaics (PV) play a pivotal role in climate change mitigation due to their cost-effective scaling potential of energy transition. Consequently, selecting locations for large-scale PV power plants has gained worldwide prominence in recent decades. Although massive studies have exami...
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creator | Li, Xiao-Ya Dong, Xin-Yu Chen, Sha Ye, Yan-Mei |
description | Large-scale Photovoltaics (PV) play a pivotal role in climate change mitigation due to their cost-effective scaling potential of energy transition. Consequently, selecting locations for large-scale PV power plants has gained worldwide prominence in recent decades. Although massive studies have examined various siting criteria, land consolidation and cost-benefit feasibility issues are not often included due to the lack of a comprehensive and discretionary decision-making system. In this study, we introduced a three-stage framework combining DBSCAN clustering and cost-benefit analysis to identify the most efficient and cost-effective land parcels. The results indicate that while a total area of 425,191 km² is considered developable for PV installation in China, only 23% of that area (128,588 km²) are consolidated land parcels which are suitable for developing large-scale PV power plants. Moreover, the potential of this consolidated land (8,289,662 gWh/year) can supply about 90% of China's electricity demand. However, when considering unit costs for electric and road grid interconnection, high-potential areas doubled the moderate-potential areas. These results emphasize the importance of large-scale PV plant siting as it impacts the efficiency of PV integration and the optimal land use. Hence, this methodology equips decision-makers with a practical and efficient tool for economically developing large-scale solar PV. |
doi_str_mv | 10.1016/j.renene.2023.119638 |
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Consequently, selecting locations for large-scale PV power plants has gained worldwide prominence in recent decades. Although massive studies have examined various siting criteria, land consolidation and cost-benefit feasibility issues are not often included due to the lack of a comprehensive and discretionary decision-making system. In this study, we introduced a three-stage framework combining DBSCAN clustering and cost-benefit analysis to identify the most efficient and cost-effective land parcels. The results indicate that while a total area of 425,191 km² is considered developable for PV installation in China, only 23% of that area (128,588 km²) are consolidated land parcels which are suitable for developing large-scale PV power plants. Moreover, the potential of this consolidated land (8,289,662 gWh/year) can supply about 90% of China's electricity demand. However, when considering unit costs for electric and road grid interconnection, high-potential areas doubled the moderate-potential areas. These results emphasize the importance of large-scale PV plant siting as it impacts the efficiency of PV integration and the optimal land use. Hence, this methodology equips decision-makers with a practical and efficient tool for economically developing large-scale solar PV.</description><identifier>ISSN: 0960-1481</identifier><identifier>DOI: 10.1016/j.renene.2023.119638</identifier><language>eng</language><subject>China ; climate change ; cost benefit analysis ; cost effectiveness ; decision making ; decision support systems ; electricity ; energy ; land use ; solar energy ; solar farms</subject><ispartof>Renewable energy, 2024-01, Vol.220, p.119638, Article 119638</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c284t-32d466f55018a8c9eb00e3a13b966e2d94e7a579a369557e67c58d7d2aef618d3</citedby><cites>FETCH-LOGICAL-c284t-32d466f55018a8c9eb00e3a13b966e2d94e7a579a369557e67c58d7d2aef618d3</cites><orcidid>0009-0003-2688-2566 ; 0000-0001-6026-652X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Li, Xiao-Ya</creatorcontrib><creatorcontrib>Dong, Xin-Yu</creatorcontrib><creatorcontrib>Chen, Sha</creatorcontrib><creatorcontrib>Ye, Yan-Mei</creatorcontrib><title>The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection</title><title>Renewable energy</title><description>Large-scale Photovoltaics (PV) play a pivotal role in climate change mitigation due to their cost-effective scaling potential of energy transition. Consequently, selecting locations for large-scale PV power plants has gained worldwide prominence in recent decades. Although massive studies have examined various siting criteria, land consolidation and cost-benefit feasibility issues are not often included due to the lack of a comprehensive and discretionary decision-making system. In this study, we introduced a three-stage framework combining DBSCAN clustering and cost-benefit analysis to identify the most efficient and cost-effective land parcels. The results indicate that while a total area of 425,191 km² is considered developable for PV installation in China, only 23% of that area (128,588 km²) are consolidated land parcels which are suitable for developing large-scale PV power plants. Moreover, the potential of this consolidated land (8,289,662 gWh/year) can supply about 90% of China's electricity demand. However, when considering unit costs for electric and road grid interconnection, high-potential areas doubled the moderate-potential areas. These results emphasize the importance of large-scale PV plant siting as it impacts the efficiency of PV integration and the optimal land use. Hence, this methodology equips decision-makers with a practical and efficient tool for economically developing large-scale solar PV.</description><subject>China</subject><subject>climate change</subject><subject>cost benefit analysis</subject><subject>cost effectiveness</subject><subject>decision making</subject><subject>decision support systems</subject><subject>electricity</subject><subject>energy</subject><subject>land use</subject><subject>solar energy</subject><subject>solar farms</subject><issn>0960-1481</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNotkD1PwzAURT2ARCn8A4Y3siTYcezYbFXFl1QJhsJquclzm5LExU5A_HsSBb3hSVdHV7qHkBtGU0aZvDumAbvx0oxmPGVMS67OyIJqSROWK3ZBLmM8UsqEKvIFCdsDwin4to51twc39ENA8A4q_MbGn6awsWGPSSxtg_D2AdGPATgb2gh1B-tD3dl7WEF_CDhivd0juGBb_PHhE5wPEOseIWKDZV_77oqcO9tEvP7_S_L--LBdPyeb16eX9WqTlJnK-4RnVS6lE4IyZVWpcUcpcsv4TkuJWaVzLKwotOVSC1GgLEqhqqLKLDrJVMWX5HbuHed9DRh7M44ssWlsh36IhjPBmS5krkc0n9Ey-BgDOnMKdWvDr2HUTFrN0cxazaTVzFr5H_55cFk</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Li, Xiao-Ya</creator><creator>Dong, Xin-Yu</creator><creator>Chen, Sha</creator><creator>Ye, Yan-Mei</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0009-0003-2688-2566</orcidid><orcidid>https://orcid.org/0000-0001-6026-652X</orcidid></search><sort><creationdate>20240101</creationdate><title>The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection</title><author>Li, Xiao-Ya ; Dong, Xin-Yu ; Chen, Sha ; Ye, Yan-Mei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c284t-32d466f55018a8c9eb00e3a13b966e2d94e7a579a369557e67c58d7d2aef618d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>China</topic><topic>climate change</topic><topic>cost benefit analysis</topic><topic>cost effectiveness</topic><topic>decision making</topic><topic>decision support systems</topic><topic>electricity</topic><topic>energy</topic><topic>land use</topic><topic>solar energy</topic><topic>solar farms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xiao-Ya</creatorcontrib><creatorcontrib>Dong, Xin-Yu</creatorcontrib><creatorcontrib>Chen, Sha</creatorcontrib><creatorcontrib>Ye, Yan-Mei</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Renewable energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xiao-Ya</au><au>Dong, Xin-Yu</au><au>Chen, Sha</au><au>Ye, Yan-Mei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection</atitle><jtitle>Renewable energy</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>220</volume><spage>119638</spage><pages>119638-</pages><artnum>119638</artnum><issn>0960-1481</issn><abstract>Large-scale Photovoltaics (PV) play a pivotal role in climate change mitigation due to their cost-effective scaling potential of energy transition. Consequently, selecting locations for large-scale PV power plants has gained worldwide prominence in recent decades. Although massive studies have examined various siting criteria, land consolidation and cost-benefit feasibility issues are not often included due to the lack of a comprehensive and discretionary decision-making system. In this study, we introduced a three-stage framework combining DBSCAN clustering and cost-benefit analysis to identify the most efficient and cost-effective land parcels. The results indicate that while a total area of 425,191 km² is considered developable for PV installation in China, only 23% of that area (128,588 km²) are consolidated land parcels which are suitable for developing large-scale PV power plants. Moreover, the potential of this consolidated land (8,289,662 gWh/year) can supply about 90% of China's electricity demand. However, when considering unit costs for electric and road grid interconnection, high-potential areas doubled the moderate-potential areas. These results emphasize the importance of large-scale PV plant siting as it impacts the efficiency of PV integration and the optimal land use. Hence, this methodology equips decision-makers with a practical and efficient tool for economically developing large-scale solar PV.</abstract><doi>10.1016/j.renene.2023.119638</doi><orcidid>https://orcid.org/0009-0003-2688-2566</orcidid><orcidid>https://orcid.org/0000-0001-6026-652X</orcidid></addata></record> |
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subjects | China climate change cost benefit analysis cost effectiveness decision making decision support systems electricity energy land use solar energy solar farms |
title | The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection |
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