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Estimation of photovoltaic power generation potential in 2020 and 2030 using land resource changes: An empirical study from China

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  • Wang, Peng
  • Zhang, Shuainan
  • Pu, Yanru
  • Cao, Shuchao
  • Zhang, Yuhu

Abstract

In this study, the future dynamic photovoltaic (PV) power generation potential, which represents the maximum PV power generation of a region, is evaluated. This study predicts suitable land resources for PV systems and calculates the PV generation potential based on these predictions. Then the supply and demand for PV power in the future is obtained by forecasting the future power consumption of the entire society. The results of this research showed that due to the influence of land resource changes, some provinces in China will have almost no PV generation potential in the year 2030. The gap between the PV potential of each province and future electricity consumption is closing, and the ratio of supply and demand is decreasing, which has been calculated to be 39.8 and 30.8 in 2020 and 2030, respectively, under the scenario of 100% PV power generation. This study reveals the influence of land resource changes on the PV power generation potential and provides a basis for other potential assessments that consider future socioeconomic development.

Suggested Citation

  • Wang, Peng & Zhang, Shuainan & Pu, Yanru & Cao, Shuchao & Zhang, Yuhu, 2021. "Estimation of photovoltaic power generation potential in 2020 and 2030 using land resource changes: An empirical study from China," Energy, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:energy:v:219:y:2021:i:c:s0360544220327183
    DOI: 10.1016/j.energy.2020.119611
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    1. He, Gang & Kammen, Daniel M., 2016. "Where, when and how much solar is available? A provincial-scale solar resource assessment for China," Renewable Energy, Elsevier, vol. 85(C), pages 74-82.
    2. Sánchez-Lozano, Juan M. & Teruel-Solano, Jerónimo & Soto-Elvira, Pedro L. & Socorro García-Cascales, M., 2013. "Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 544-556.
    3. Capellán-Pérez, Iñigo & de Castro, Carlos & Arto, Iñaki, 2017. "Assessing vulnerabilities and limits in the transition to renewable energies: Land requirements under 100% solar energy scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 760-782.
    4. Xu, Mei & Xie, Pu & Xie, Bai-Chen, 2020. "Study of China's optimal solar photovoltaic power development path to 2050," Resources Policy, Elsevier, vol. 65(C).
    5. Arán Carrión, J. & Espín Estrella, A. & Aznar Dols, F. & Zamorano Toro, M. & Rodríguez, M. & Ramos Ridao, A., 2008. "Environmental decision-support systems for evaluating the carrying capacity of land areas: Optimal site selection for grid-connected photovoltaic power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2358-2380, December.
    6. Zhang, Yuhu & Ren, Jing & Pu, Yanru & Wang, Peng, 2020. "Solar energy potential assessment: A framework to integrate geographic, technological, and economic indices for a potential analysis," Renewable Energy, Elsevier, vol. 149(C), pages 577-586.
    7. Yang, Qing & Huang, Tianyue & Wang, Saige & Li, Jiashuo & Dai, Shaoqing & Wright, Sebastian & Wang, Yuxuan & Peng, Huaiwu, 2019. "A GIS-based high spatial resolution assessment of large-scale PV generation potential in China," Applied Energy, Elsevier, vol. 247(C), pages 254-269.
    8. Jangwon Suh & Jeffrey R. S. Brownson, 2016. "Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea," Energies, MDPI, vol. 9(8), pages 1-24, August.
    9. Yue, Cheng-Dar & Huang, Guo-Rong, 2011. "An evaluation of domestic solar energy potential in Taiwan incorporating land use analysis," Energy Policy, Elsevier, vol. 39(12), pages 7988-8002.
    10. Nema, Pragya & Nema, R.K. & Rangnekar, Saroj, 2009. "A current and future state of art development of hybrid energy system using wind and PV-solar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2096-2103, October.
    11. Marques, António Cardoso & Fuinhas, José Alberto & Pereira, Diogo André, 2018. "Have fossil fuels been substituted by renewables? An empirical assessment for 10 European countries," Energy Policy, Elsevier, vol. 116(C), pages 257-265.
    12. Sabo, Mahmoud Lurwan & Mariun, Norman & Hizam, Hashim & Mohd Radzi, Mohd Amran & Zakaria, Azmi, 2017. "Spatial matching of large-scale grid-connected photovoltaic power generation with utility demand in Peninsular Malaysia," Applied Energy, Elsevier, vol. 191(C), pages 663-688.
    13. Shafiullah, G.M. & Amanullah, M.T.O. & Shawkat Ali, A.B.M. & Jarvis, Dennis & Wolfs, Peter, 2012. "Prospects of renewable energy – a feasibility study in the Australian context," Renewable Energy, Elsevier, vol. 39(1), pages 183-197.
    14. Majumdar, Debaleena & Pasqualetti, Martin J., 2019. "Analysis of land availability for utility-scale power plants and assessment of solar photovoltaic development in the state of Arizona, USA," Renewable Energy, Elsevier, vol. 134(C), pages 1213-1231.
    15. Sun, Yan-wei & Hof, Angela & Wang, Run & Liu, Jian & Lin, Yan-jie & Yang, De-wei, 2013. "GIS-based approach for potential analysis of solar PV generation at the regional scale: A case study of Fujian Province," Energy Policy, Elsevier, vol. 58(C), pages 248-259.
    16. Ehsan Noorollahi & Dawud Fadai & Mohsen Akbarpour Shirazi & Seyed Hassan Ghodsipour, 2016. "Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran," Energies, MDPI, vol. 9(8), pages 1-24, August.
    17. Dupraz, C. & Marrou, H. & Talbot, G. & Dufour, L. & Nogier, A. & Ferard, Y., 2011. "Combining solar photovoltaic panels and food crops for optimising land use: Towards new agrivoltaic schemes," Renewable Energy, Elsevier, vol. 36(10), pages 2725-2732.
    18. Carrión, J. Arán & Espín Estrella, A. & Aznar Dols, F. & Ridao, A. Ramos, 2008. "The electricity production capacity of photovoltaic power plants and the selection of solar energy sites in Andalusia (Spain)," Renewable Energy, Elsevier, vol. 33(4), pages 545-552.
    19. de Vries, Bert J.M. & van Vuuren, Detlef P. & Hoogwijk, Monique M., 2007. "Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach," Energy Policy, Elsevier, vol. 35(4), pages 2590-2610, April.
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    7. Longhui Li & Yue Zhang & Tianjun Zhou & Kaicun Wang & Can Wang & Tao Wang & Linwang Yuan & Kangxin An & Chenghu Zhou & Guonian Lü, 2022. "Mitigation of China’s carbon neutrality to global warming," Nature Communications, Nature, vol. 13(1), pages 1-7, December.

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