IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v359y2024ics0306261924001326.html
   My bibliography  Save this article

Risk in solar energy: Spatio-temporal instability and extreme low-light events in China

Author

Listed:
  • Guo, Jingxian
  • Li, Runkui
  • Cai, Panli
  • Xiao, Zhen
  • Fu, Haiyu
  • Guo, Tongze
  • Wang, Tianyi
  • Zhang, Xiaoping
  • Wang, Jiancheng
  • Song, Xianfeng

Abstract

The dramatically increasing photovoltaic power generation plays a crucial role in the transformation of energy structure and reducing carbon emission, but also facing high instability risks. Analyzing the spatial and temporal instability of solar energy resources in China, as well as the clustering characteristics of extreme low-light events, is of significant importance in identifying key areas for future development of China's photovoltaic industry and ensuring energy security. We propose a stability index and construct a long time series of solar radiation stability from 1981 to 2022 across China. We also extract the frequency and maximum duration of extreme low-light events and explore their spatio-temporal patterns in China. Our analysis reveals spatially unbalanced solar energy resources and varied temporal trends across China. Solar energy resources exhibit a decreasing trend in the Qinghai-Tibet Plateau, while experiencing an increasing trend in Xinjiang, the Northeast Plain, the Yangtze River Basin, and the southeast coastal areas. The turning point for such trends occurred from the late 1990s to the early 21st century. Notably, the instability of solar energy resources varies across regions, with the Yangtze River Basin and the southeast coastal areas experiencing greater instability compared to the Qinghai-Tibet Plateau, Northwest China, Inner Mongolia, and other regions. Extreme low-light events occur frequently and their spatial distributions vary largely with seasons. The probability of extreme events in Sichuan Basin is completely opposite in spring versus winter. Summer stands out as the season with the highest stability of solar energy resources and the largest total solar radiation across China. The extreme low-light events in a large portion area of China is becoming more intense. China's photovoltaic allocation should pay more attention to climate risks in the future.

Suggested Citation

  • Guo, Jingxian & Li, Runkui & Cai, Panli & Xiao, Zhen & Fu, Haiyu & Guo, Tongze & Wang, Tianyi & Zhang, Xiaoping & Wang, Jiancheng & Song, Xianfeng, 2024. "Risk in solar energy: Spatio-temporal instability and extreme low-light events in China," Applied Energy, Elsevier, vol. 359(C).
  • Handle: RePEc:eee:appene:v:359:y:2024:i:c:s0306261924001326
    DOI: 10.1016/j.apenergy.2024.122749
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924001326
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.122749?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Author Correction: Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(4), pages 362-362, April.
    2. Jackson, Nicole D. & Gunda, Thushara, 2021. "Evaluation of extreme weather impacts on utility-scale photovoltaic plant performance in the United States," Applied Energy, Elsevier, vol. 302(C).
    3. Jun Yin & Annalisa Molini & Amilcare Porporato, 2020. "Impacts of solar intermittency on future photovoltaic reliability," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    4. Jiang, Hou & Lu, Ning & Yao, Ling & Qin, Jun & Liu, Tang, 2023. "Impact of climate changes on the stability of solar energy: Evidence from observations and reanalysis," Renewable Energy, Elsevier, vol. 208(C), pages 726-736.
    5. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(2), pages 119-125, February.
    6. Charabi, Yassine & Gastli, Adel, 2011. "PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation," Renewable Energy, Elsevier, vol. 36(9), pages 2554-2561.
    7. Notton, Gilles & Nivet, Marie-Laure & Voyant, Cyril & Paoli, Christophe & Darras, Christophe & Motte, Fabrice & Fouilloy, Alexis, 2018. "Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 96-105.
    8. Anthony Patt & Stefan Pfenninger & Johan Lilliestam, 2013. "Vulnerability of solar energy infrastructure and output to climate change," Climatic Change, Springer, vol. 121(1), pages 93-102, November.
    9. Sarah Feron & Raúl R. Cordero & Fernando Labbe, 2017. "Rural Electrification Efforts Based on Off-Grid Photovoltaic Systems in the Andean Region: Comparative Assessment of Their Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-23, October.
    10. Chen, Xie & Zhou, Chaohui & Tian, Zhiyong & Mao, Hongzhi & Luo, Yongqiang & Sun, Deyu & Fan, Jianhua & Jiang, Liguang & Deng, Jie & Rosen, Marc A., 2023. "Different photovoltaic power potential variations in East and West China," Applied Energy, Elsevier, vol. 351(C).
    11. Ibrahim, Nur Atirah & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul & Mustaffa, Azizul Azri & Kidam, Kamarizan, 2022. "Risk matrix approach of extreme temperature and precipitation for renewable energy systems in Malaysia," Energy, Elsevier, vol. 254(PC).
    12. Sonia Jerez & Isabelle Tobin & Robert Vautard & Juan Pedro Montávez & Jose María López-Romero & Françoise Thais & Blanka Bartok & Ole Bøssing Christensen & Augustin Colette & Michel Déqué & Grigory Ni, 2015. "The impact of climate change on photovoltaic power generation in Europe," Nature Communications, Nature, vol. 6(1), pages 1-8, December.
    13. Gómez-Amo, J.L. & Freile-Aranda, M.D. & Camarasa, J. & Estellés, V. & Utrillas, M.P. & Martínez-Lozano, J.A., 2019. "Empirical estimates of the radiative impact of an unusually extreme dust and wildfire episode on the performance of a photovoltaic plant in Western Mediterranean," Applied Energy, Elsevier, vol. 235(C), pages 1226-1234.
    14. A. N. Pettitt, 1979. "A Non‐Parametric Approach to the Change‐Point Problem," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(2), pages 126-135, June.
    15. Tao Wang & Yutong Zhao & Chaoyi Xu & Philippe Ciais & Dan Liu & Hui Yang & Shilong Piao & Tandong Yao, 2021. "Atmospheric dynamic constraints on Tibetan Plateau freshwater under Paris climate targets," Nature Climate Change, Nature, vol. 11(3), pages 219-225, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zifan Huang & Zexia Duan & Yichi Zhang & Tianbo Ji, 2024. "Response of Sustainable Solar Photovoltaic Power Output to Summer Heatwave Events in Northern China," Sustainability, MDPI, vol. 16(12), pages 1-28, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Yi & Cheng, Chuntian & Yang, Tiantian & Jin, Xiaoyu & Jia, Zebin & Shen, Jianjian & Wu, Xinyu, 2022. "Assessment of climate change impacts on the hydro-wind-solar energy supply system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    2. Fortes, Patrícia & Simoes, Sofia G. & Amorim, Filipa & Siggini, Gildas & Sessa, Valentina & Saint-Drenan, Yves-Marie & Carvalho, Sílvia & Mujtaba, Babar & Diogo, Paulo & Assoumou, Edi, 2022. "How sensitive is a carbon-neutral power sector to climate change? The interplay between hydro, solar and wind for Portugal," Energy, Elsevier, vol. 239(PB).
    3. Sinha, Avik & Tiwari, Sunil & Saha, Tanaya, 2024. "Modeling the behavior of renewable energy market: Understanding the moderation of climate risk factors," Energy Economics, Elsevier, vol. 130(C).
    4. Ha, Subin & Zhou, Zixuan & Im, Eun-Soon & Lee, Young-Mi, 2023. "Comparative assessment of future solar power potential based on CMIP5 and CMIP6 multi-model ensembles," Renewable Energy, Elsevier, vol. 206(C), pages 324-335.
    5. Zuo, Jingping & Qian, Cuncun & Su, Bing & Ji, Hao & Xu, Yang & Peng, Zhipeng, 2024. "Evaluation of future renewable energy drought risk in China based on CMIP6," Renewable Energy, Elsevier, vol. 225(C).
    6. Chen, Xie & Zhou, Chaohui & Tian, Zhiyong & Mao, Hongzhi & Luo, Yongqiang & Sun, Deyu & Fan, Jianhua & Jiang, Liguang & Deng, Jie & Rosen, Marc A., 2023. "Different photovoltaic power potential variations in East and West China," Applied Energy, Elsevier, vol. 351(C).
    7. Cheng, Qian & Liu, Pan & Xia, Qian & Cheng, Lei & Ming, Bo & Zhang, Wei & Xu, Weifeng & Zheng, Yalian & Han, Dongyang & Xia, Jun, 2023. "An analytical method to evaluate curtailment of hydro–photovoltaic hybrid energy systems and its implication under climate change," Energy, Elsevier, vol. 278(C).
    8. Cao, Yan & Cheng, Sheng & Li, Xinran, 2024. "Co-movements between heterogeneous crude oil and food markets: Does temperature change really matter?," Research in International Business and Finance, Elsevier, vol. 67(PB).
    9. Fang, Yan Ru & Hossain, MD Shouquat & Peng, Shuan & Han, Ling & Yang, Pingjian, 2024. "Sustainable energy development of crop straw in five southern provinces of China: Bioenergy production, land, and water saving potential," Renewable Energy, Elsevier, vol. 224(C).
    10. Liu, Tian & Wang, Peipei & Tian, Jing & Guo, Jiaqi & Zhu, Wenyuan & Bushra, Rani & Huang, Caoxing & Jin, Yongcan & Xiao, Huining & Song, Junlong, 2024. "Emerging role of additives in lignocellulose enzymatic saccharification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    11. Feng, Chao & Liu, Yu-Qi & Yang, Jun, 2024. "Do energy trade patterns affect renewable energy development? The threshold role of digital economy and economic freedom," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    12. Ghanim, Marrwa S. & Farhan, Ammar A., 2023. "Projected patterns of climate change impact on photovoltaic energy potential: A case study of Iraq," Renewable Energy, Elsevier, vol. 204(C), pages 338-346.
    13. Guo, Kun & Kang, Yuxin & Ma, Dandan & Lei, Lei, 2024. "How do climate risks impact the contagion in China's energy market?," Energy Economics, Elsevier, vol. 133(C).
    14. He, J.Y. & Li, Q.S. & Chan, P.W. & Zhao, X.D., 2023. "Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach," Applied Energy, Elsevier, vol. 329(C).
    15. Cheng, Qian & Liu, Pan & Feng, Maoyuan & Cheng, Lei & Ming, Bo & Luo, Xinran & Liu, Weibo & Xu, Weifeng & Huang, Kangdi & Xia, Jun, 2023. "Complementary operation with wind and photovoltaic power induces the decrease in hydropower efficiency," Applied Energy, Elsevier, vol. 339(C).
    16. Zhao, Xiaohu & Huang, Guohe & Li, Yongping & Lu, Chen, 2023. "Responses of hydroelectricity generation to streamflow drought under climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    17. Elkadeem, Mohamed R. & Younes, Ali & Mazzeo, Domenico & Jurasz, Jakub & Elia Campana, Pietro & Sharshir, Swellam W. & Alaam, Mohamed A., 2022. "Geospatial-assisted multi-criterion analysis of solar and wind power geographical-technical-economic potential assessment," Applied Energy, Elsevier, vol. 322(C).
    18. Kuang, Zhonghong & Chen, Qi & Yu, Yang, 2022. "Assessing the CO2-emission risk due to wind-energy uncertainty," Applied Energy, Elsevier, vol. 310(C).
    19. Zhang, Yi & Cheng, Chuntian & Cai, Huaxiang & Jin, Xiaoyu & Jia, Zebin & Wu, Xinyu & Su, Huaying & Yang, Tiantian, 2022. "Long-term stochastic model predictive control and efficiency assessment for hydro-wind-solar renewable energy supply system," Applied Energy, Elsevier, vol. 316(C).
    20. Zhang, Juntao & Cheng, Chuntian & Yu, Shen, 2024. "Recognizing the mapping relationship between wind power output and meteorological information at a province level by coupling GIS and CNN technologies," Applied Energy, Elsevier, vol. 360(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:359:y:2024:i:c:s0306261924001326. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.