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Picturing China's photovoltaic energy future: Insights from CMIP6 climate projections

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  • Guo, Junhong
  • Chen, Zhuo
  • Meng, Jing
  • Zheng, Heran
  • Fan, Yuri
  • Ji, Ling
  • Wang, Xiuquan
  • Liang, Xi

Abstract

Vigorous development of solar photovoltaic energy (PV) is one of the key components to achieve China's “30•60 Dual-Carbon Target”. In this study, by utilizing the outputs generated by CMIP6 models under different shared socioeconomic pathways (SSPs) and a physical PV model (GSEE), future changes in PV power generation across China are provided for the outlined carbon neutralization period (2051–2070). The results reveal distinct spatiotemporal characteristics in the changes in PV output across China. Overall, compared to the historical period, annual PV power generation is projected to decrease in northern regions and Tibet Plateau with a maximum decrease of ∼4 % under the high emission scenario (SSP585), while southern and central regions exhibit significant increases. Remarkably, under the green development pathway (SSP126), PV power generation is expected to rise by over 10 % in these regions. The magnitude of decrease in the north and increase in the south is projected to become more pronounced with the continuous increase of future carbon emissions. It is anticipated that the three northern regions of China will experience greater decreases in PV power generation in winter compared to other seasons, especially under SSP585. Additionally, the southeast region shows the smallest increase in summer PV generation out of all seasons. Moreover, under SSP126 trajectory, most regions in China exhibit reduced inter-annual and intra-annual variability in PV generation compared to the historical levels. This suggests that pursuing a sustainable path could substantially mitigate potential risks associated with PV generation fluctuations in China.

Suggested Citation

  • Guo, Junhong & Chen, Zhuo & Meng, Jing & Zheng, Heran & Fan, Yuri & Ji, Ling & Wang, Xiuquan & Liang, Xi, 2024. "Picturing China's photovoltaic energy future: Insights from CMIP6 climate projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    • Handle: RePEc:eee:rensus:v:189:y:2024:i:pa:s1364032123008845
    DOI: 10.1016/j.rser.2023.114026
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    1. Müller, Johannes & Folini, Doris & Wild, Martin & Pfenninger, Stefan, 2019. "CMIP-5 models project photovoltaics are a no-regrets investment in Europe irrespective of climate change," Energy, Elsevier, vol. 171(C), pages 135-148.
    2. Bart Sweerts & Stefan Pfenninger & Su Yang & Doris Folini & Bob Zwaan & Martin Wild, 2019. "Author Correction: Estimation of losses in solar energy production from air pollution in China since 1960 using surface radiation data," Nature Energy, Nature, vol. 4(8), pages 718-718, August.
    3. Zhang, Shuangyi & Li, Xichen, 2021. "Future projections of offshore wind energy resources in China using CMIP6 simulations and a deep learning-based downscaling method," Energy, Elsevier, vol. 217(C).
    4. Doorga, Jay R.S. & Rughooputh, Soonil D.D.V. & Boojhawon, Ravindra, 2019. "Modelling the global solar radiation climate of Mauritius using regression techniques," Renewable Energy, Elsevier, vol. 131(C), pages 861-878.
    5. Akintayo T. Abolude & Wen Zhou & Akintomide Afolayan Akinsanola, 2020. "Evaluation and Projections of Wind Power Resources over China for the Energy Industry Using CMIP5 Models," Energies, MDPI, vol. 13(10), pages 1-16, May.
    6. Elhadidy, M.A., 2002. "Performance evaluation of hybrid (wind/solar/diesel) power systems," Renewable Energy, Elsevier, vol. 26(3), pages 401-413.
    7. Zhou, Sheng & Tong, Qing & Pan, Xunzhang & Cao, Min & Wang, Hailin & Gao, Ji & Ou, Xunmin, 2021. "Research on low-carbon energy transformation of China necessary to achieve the Paris agreement goals: A global perspective," Energy Economics, Elsevier, vol. 95(C).
    8. Zhuo, Chen & Junhong, Guo & Wei, Li & Fei, Zhang & Chan, Xiao & Zhangrong, Pan, 2022. "Changes in wind energy potential over China using a regional climate model ensemble," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    9. Dutta, Riya & Chanda, Kironmala & Maity, Rajib, 2022. "Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis," Renewable Energy, Elsevier, vol. 188(C), pages 819-829.
    10. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    11. 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).
    12. Bart Sweerts & Stefan Pfenninger & Su Yang & Doris Folini & Bob Zwaan & Martin Wild, 2019. "Estimation of losses in solar energy production from air pollution in China since 1960 using surface radiation data," Nature Energy, Nature, vol. 4(8), pages 657-663, August.
    13. Carvalho, D. & Rocha, A. & Gómez-Gesteira, M. & Silva Santos, C., 2017. "Potential impacts of climate change on European wind energy resource under the CMIP5 future climate projections," Renewable Energy, Elsevier, vol. 101(C), pages 29-40.
    14. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
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    Keywords

    PV output; China; SSPs; Projection; GSEE;
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