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Potential assessment of photovoltaic power generation in China

Author

Listed:
  • Qiu, Tianzhi
  • Wang, Lunche
  • Lu, Yunbo
  • Zhang, Ming
  • Qin, Wenmin
  • Wang, Shaoqiang
  • Wang, Lizhe

Abstract

Accurate assessment of the photovoltaic (PV) power generation potential in China is important for the reduction of carbon emission intensity and the achievement of the goal of Carbon Neutral. This study used a PV power generation potential assessment system based on Geographic Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods to investigate the PV power generation potential in China. Firstly, the high spatial-temporal resolution and high-quality ERA5 data and related technical, geographic, and social factors were used to assess the theoretical power generation and land suitability of PV power generation. Then, the theoretical power generation and land suitability were comprehensively considered to evaluate the PV power generation potential of China in 2015. The results showed that the average suitability score of land in China is 0.1058 and the suitable land for PV power generation is about 993,000 km2 in 2015. The PV power generation potential of China is 131.942 PWh, which is approximately 23 times the electricity demand of China in 2015. The spatial distribution characteristics of PV power generation potential mainly showed a downward trend from northwest to southeast. Meanwhile, there were clear spatial dislocations between the PV power generation potential and the population distribution and electricity demand in China. In areas that accounting for about 75% of the PV potential, population and electricity demand only accounted for about 16% of the total population and total electricity demand in China. Besides, the degree of tapping PV potential in China is not high, and the installed capacity of most provinces in China accounted for no more than 1% of the capacity potential, especially in the PV potential-rich areas.

Suggested Citation

  • Qiu, Tianzhi & Wang, Lunche & Lu, Yunbo & Zhang, Ming & Qin, Wenmin & Wang, Shaoqiang & Wang, Lizhe, 2022. "Potential assessment of photovoltaic power generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:rensus:v:154:y:2022:i:c:s1364032121011667
    DOI: 10.1016/j.rser.2021.111900
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    as
    1. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda & Yadav, Pankaj, 2017. "Evaluation of relative impact of aerosols on photovoltaic cells through combined Shannon's entropy and Data Envelopment Analysis (DEA)," Renewable Energy, Elsevier, vol. 105(C), pages 344-353.
    2. Meryem Tahri & Mustapha Hakdaoui & Mohamed Maanan, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Post-Print hal-01185533, HAL.
    3. 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.
    4. AlSkaif, Tarek & Dev, Soumyabrata & Visser, Lennard & Hossari, Murhaf & van Sark, Wilfried, 2020. "A systematic analysis of meteorological variables for PV output power estimation," Renewable Energy, Elsevier, vol. 153(C), pages 12-22.
    5. Singh Doorga, Jay Rovisham & Rughooputh, Soonil D.D.V. & Boojhawon, Ravindra, 2019. "High resolution spatio-temporal modelling of solar photovoltaic potential for tropical islands: Case of Mauritius," Energy, Elsevier, vol. 169(C), pages 972-987.
    6. Pérez, Juan C. & González, Albano & Díaz, Juan P. & Expósito, Francisco J. & Felipe, Jonatan, 2019. "Climate change impact on future photovoltaic resource potential in an orographically complex archipelago, the Canary Islands," Renewable Energy, Elsevier, vol. 133(C), pages 749-759.
    7. Yushchenko, Alisa & de Bono, Andrea & Chatenoux, Bruno & Kumar Patel, Martin & Ray, Nicolas, 2018. "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2088-2103.
    8. Siala, Kais & Stich, Jürgen, 2016. "Estimation of the PV potential in ASEAN with a high spatial and temporal resolution," Renewable Energy, Elsevier, vol. 88(C), pages 445-456.
    9. Tahri, Meryem & Hakdaoui, Mustapha & Maanan, Mohamed, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1354-1362.
    10. Ramli, Makbul A.M. & Prasetyono, Eka & Wicaksana, Ragil W. & Windarko, Novie A. & Sedraoui, Khaled & Al-Turki, Yusuf A., 2016. "On the investigation of photovoltaic output power reduction due to dust accumulation and weather conditions," Renewable Energy, Elsevier, vol. 99(C), pages 836-844.
    11. Khalid, Anjum & Junaidi, Haroon, 2013. "Study of economic viability of photovoltaic electric power for Quetta – Pakistan," Renewable Energy, Elsevier, vol. 50(C), pages 253-258.
    12. Hachicha, Ahmed Amine & Al-Sawafta, Israa & Said, Zafar, 2019. "Impact of dust on the performance of solar photovoltaic (PV) systems under United Arab Emirates weather conditions," Renewable Energy, Elsevier, vol. 141(C), pages 287-297.
    13. Uyan, Mevlut, 2013. "GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 11-17.
    14. Ramli, Makbul A.M. & Twaha, Ssennoga & Ishaque, Kashif & Al-Turki, Yusuf A., 2017. "A review on maximum power point tracking for photovoltaic systems with and without shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 144-159.
    15. Amy H. I. Lee & He-Yau Kang & You-Jyun Liou, 2017. "A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection," Sustainability, MDPI, vol. 9(2), pages 1-21, January.
    16. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    17. Sun, Ke & Lu, Lin & Jiang, Yu & Wang, Yuanhao & Zhou, Kun & He, Zhu, 2018. "Integrated effects of PM2.5 deposition, module surface conditions and nanocoatings on solar PV surface glass transmittance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4107-4120.
    18. 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.
    19. Zhao, Xiaohu & Huang, Guohe & Lu, Chen & Zhou, Xiong & Li, Yongping, 2020. "Impacts of climate change on photovoltaic energy potential: A case study of China," Applied Energy, Elsevier, vol. 280(C).
    20. Aly, Ahmed & Jensen, Steen Solvang & Pedersen, Anders Branth, 2017. "Solar power potential of Tanzania: Identifying CSP and PV hot spots through a GIS multicriteria decision making analysis," Renewable Energy, Elsevier, vol. 113(C), pages 159-175.
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