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Five-dimensional assessment of China's centralized and distributed photovoltaic potential: From solar irradiation to CO2 mitigation

Author

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  • Wang, Tiantian
  • Wang, Yanhua
  • Wang, Ke
  • Fu, Sha
  • Ding, Li

Abstract

Owing to China's escalating demand for renewable energy and carbon emissions reduction, and given its prominent position as one of the fastest-growing nations in photovoltaic (PV) development, a comprehensive assessment of the potential of both centralized and distributed photovoltaic systems in China is crucial. However, current research on PV potential assessment presents several challenges. Therefore, this study presents a five-dimensional assessment model, encompassing geographical, technical, economic, CO2 mitigation, and realizable potential, to systematically map China's centralized photovoltaic (CPV) and distributed photovoltaic (DPV) potential. The findings underscore the vast PV potential across the country, with areas of 3.11 million km2 and 252.72 thousand km2 deemed suitable for CPV and DPV development, respectively. This corresponds to a technical potential of 416,383.27 and 28,261.53 TWh/yr for CPV and DPV, respectively. Furthermore, this study explored the economic potential of CPV and DPV, revealing that the generation costs of both CPV and DPV in China are in proximity to the feed-in tariffs. With technological advancements and economies of scale, a broader PV potential is projected to be economically feasible by 2030. Full implementation of the current economic potential can yield an annual CO2 mitigation of 54.20 and 8.39 gigatonnes (Gt) using CPV and DPV, respectively. Notably, China's PV potential exhibits distinct regional heterogeneity, with CPV potential concentrated primarily in the western region and DPV potential distributed predominantly across the eastern provinces. This study identified the most resource-intensive areas in the western region of Inner Mongolia for CPV and in the coastal regions of Guangdong and Shandong provinces for DPV. Considering policy imperatives and the development status, China's PV sector holds tremendous potential to significantly contribute to carbon reduction targets. Based on the findings, policy recommendations are proposed, emphasizing the imperative of jointly developing CPV and DPV systems, as well as implementing phased and planned growth strategies for PV growth.

Suggested Citation

  • Wang, Tiantian & Wang, Yanhua & Wang, Ke & Fu, Sha & Ding, Li, 2024. "Five-dimensional assessment of China's centralized and distributed photovoltaic potential: From solar irradiation to CO2 mitigation," Applied Energy, Elsevier, vol. 356(C).
  • Handle: RePEc:eee:appene:v:356:y:2024:i:c:s0306261923016902
    DOI: 10.1016/j.apenergy.2023.122326
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    as
    1. 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.
    2. Jinyue Yan & Ying Yang & Pietro Elia Campana & Jijiang He, 2019. "City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China," Nature Energy, Nature, vol. 4(8), pages 709-717, August.
    3. Ji, Junping & Tang, Hua & Jin, Peng, 2019. "Economic potential to develop concentrating solar power in China: A provincial assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    4. Schuster, Christian Stefano, 2020. "The quest for the optimum angular-tilt of terrestrial solar panels or their angle-resolved annual insolation," Renewable Energy, Elsevier, vol. 152(C), pages 1186-1191.
    5. Ahn, Joongha & Woo, JongRoul & Lee, Jongsu, 2015. "Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry," Energy Policy, Elsevier, vol. 78(C), pages 78-90.
    6. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    7. Ouyang, Xiaoling & Lin, Boqiang, 2014. "Levelized cost of electricity (LCOE) of renewable energies and required subsidies in China," Energy Policy, Elsevier, vol. 70(C), pages 64-73.
    8. Li, Mingquan & Virguez, Edgar & Shan, Rui & Tian, Jialin & Gao, Shuo & Patiño-Echeverri, Dalia, 2022. "High-resolution data shows China’s wind and solar energy resources are enough to support a 2050 decarbonized electricity system," Applied Energy, Elsevier, vol. 306(PA).
    9. Hirvonen, Janne & Kayo, Genku & Hasan, Ala & Sirén, Kai, 2016. "Zero energy level and economic potential of small-scale building-integrated PV with different heating systems in Nordic conditions," Applied Energy, Elsevier, vol. 167(C), pages 255-269.
    10. Zhang, Minhui & Zhang, Qin, 2020. "Grid parity analysis of distributed photovoltaic power generation in China," Energy, Elsevier, vol. 206(C).
    11. Wang, Rong & Hasanefendic, Sandra & Von Hauff, Elizabeth & Bossink, Bart, 2022. "The cost of photovoltaics: Re-evaluating grid parity for PV systems in China," Renewable Energy, Elsevier, vol. 194(C), pages 469-481.
    12. Junginger, M. & Agterbosch, S. & Faaij, A. & Turkenburg, W., 2004. "Renewable electricity in the Netherlands," Energy Policy, Elsevier, vol. 32(9), pages 1053-1073, June.
    13. 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.
    14. Liao, Maolin & Zhang, Ze & Jia, Jin & Xiong, Jiao & Han, Mengyao, 2022. "Mapping China's photovoltaic power geographies: Spatial-temporal evolution, provincial competition and low-carbon transition," Renewable Energy, Elsevier, vol. 191(C), pages 251-260.
    15. Zhang, Libo & Chen, Changqi & Wang, Qunwei & Zhou, Dequn, 2021. "The impact of feed-in tariff reduction and renewable portfolio standard on the development of distributed photovoltaic generation in China," Energy, Elsevier, vol. 232(C).
    16. Chen, Fuying & Yang, Qing & Zheng, Niting & Wang, Yuxuan & Huang, Junling & Xing, Lu & Li, Jianlan & Feng, Shuanglei & Chen, Guoqian & Kleissl, Jan, 2022. "Assessment of concentrated solar power generation potential in China based on Geographic Information System (GIS)," Applied Energy, Elsevier, vol. 315(C).
    17. Liu, Yujun & Yao, Ling & Jiang, Hou & Lu, Ning & Qin, Jun & Liu, Tang & Zhou, Chenghu, 2022. "Spatial estimation of the optimum PV tilt angles in China by incorporating ground with satellite data," Renewable Energy, Elsevier, vol. 189(C), pages 1249-1258.
    18. Albrecht, Johan, 2007. "The future role of photovoltaics: A learning curve versus portfolio perspective," Energy Policy, Elsevier, vol. 35(4), pages 2296-2304, April.
    19. Tu, Qiang & Mo, Jianlei & Betz, Regina & Cui, Lianbiao & Fan, Ying & Liu, Yu, 2020. "Achieving grid parity of solar PV power in China- The role of Tradable Green Certificate," Energy Policy, Elsevier, vol. 144(C).
    20. Li, Yuqiang & Liao, Shengming & Rao, Zhenghua & Liu, Gang, 2014. "A dynamic assessment based feasibility study of concentrating solar power in China," Renewable Energy, Elsevier, vol. 69(C), pages 34-42.
    21. Purohit, Ishan & Purohit, Pallav, 2010. "Techno-economic evaluation of concentrating solar power generation in India," Energy Policy, Elsevier, vol. 38(6), pages 3015-3029, June.
    22. 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.
    23. Yu, Shiwei & Han, Ruilian & Zhang, Junjie, 2023. "Reassessment of the potential for centralized and distributed photovoltaic power generation in China: On a prefecture-level city scale," Energy, Elsevier, vol. 262(PA).
    24. 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.
    25. Hernández-Moro, J. & Martínez-Duart, J.M., 2013. "Analytical model for solar PV and CSP electricity costs: Present LCOE values and their future evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 119-132.
    26. 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).
    27. Chen, Weiming & Lei, Yalin & Feng, Kuishuang & Wu, Sanmang & Li, Li, 2019. "Provincial emission accounting for CO2 mitigation in China: Insights from production, consumption and income perspectives," Applied Energy, Elsevier, vol. 255(C).
    28. 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.
    29. 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.
    30. Resch, Gustav & Held, Anne & Faber, Thomas & Panzer, Christian & Toro, Felipe & Haas, Reinhard, 2008. "Potentials and prospects for renewable energies at global scale," Energy Policy, Elsevier, vol. 36(11), pages 4048-4056, November.
    31. Hong, Sungjun & Chung, Yanghon & Woo, Chungwon, 2015. "Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea," Energy, Elsevier, vol. 79(C), pages 80-89.
    32. Wang, Yu & He, Jijiang & Chen, Wenying, 2021. "Distributed solar photovoltaic development potential and a roadmap at the city level in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    33. Köberle, Alexandre C. & Gernaat, David E.H.J. & van Vuuren, Detlef P., 2015. "Assessing current and future techno-economic potential of concentrated solar power and photovoltaic electricity generation," Energy, Elsevier, vol. 89(C), pages 739-756.
    34. Zweibel, Ken, 2010. "Should solar photovoltaics be deployed sooner because of long operating life at low, predictable cost?," Energy Policy, Elsevier, vol. 38(11), pages 7519-7530, November.
    35. Jan-Horst Keppler & Stefan Lorenczik, 2020. "Projected Costs of Generating Electricity: 2020 Edition," Working Papers hal-03998435, HAL.
    36. Verbruggen, Aviel & Fischedick, Manfred & Moomaw, William & Weir, Tony & Nadaï, Alain & Nilsson, Lars J. & Nyboer, John & Sathaye, Jayant, 2010. "Renewable energy costs, potentials, barriers: Conceptual issues," Energy Policy, Elsevier, vol. 38(2), pages 850-861, February.
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