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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Veröffentlicht in:Renewable energy 2024-01, Vol.220, p.119638, Article 119638
Hauptverfasser: Li, Xiao-Ya, Dong, Xin-Yu, Chen, Sha, Ye, Yan-Mei
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Sprache:eng
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Zusammenfassung: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.
ISSN:0960-1481
DOI:10.1016/j.renene.2023.119638