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Simulated local climatic impacts of large-scale photovoltaics over the barren area of Qinghai, China

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  • Chang, Rui
  • Luo, Yong
  • Zhu, Rong

Abstract

Solar energy has developed rapidly in recent years, and its impacts on climate have been revealed mainly through model simulations and limited field observations. However, the representation of solar plants in these models is highly simplistic and does not account for dynamical effects, which may pose risks under the simulations for tracking photovoltaics (PV). To make a more comprehensive assessment of the PV-induced climatic impacts, it is relevant to further develop a more sophisticated PV module based on the observed PV-induced impacts from specific cases. To remedy the deficiencies in the existing PV energy models, the newly sophisticated PV module established in this paper includes both the land surface radiation balance, sensible heat balance and the surface physical dray process over the locations of PV plants. It is then used to simulate the local climatic impacts of PV plants through three parallel sensitivity experiments. Comparison analysis between control run and two PV installation scenarios showed obvious changes in the 10-m wind speed, land surface temperature, and 2-m specific humidity were found locally over the locations of PV plants during both the warm and cold periods. The magnitudes of these changes are positively related to the installed capacity of the PV plants, but are much smaller than the natural climate variations. It is expected that the observation-based PV module established in this paper is a meaningful attempt for the model simulation on this field.

Suggested Citation

  • Chang, Rui & Luo, Yong & Zhu, Rong, 2020. "Simulated local climatic impacts of large-scale photovoltaics over the barren area of Qinghai, China," Renewable Energy, Elsevier, vol. 145(C), pages 478-489.
    • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:478-489
    DOI: 10.1016/j.renene.2019.06.059
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    Cited by:

    1. Khushal Matai, 2020. "Influence of SPV Installations on the Thermal Character of the Urban Milieu," J, MDPI, vol. 3(3), pages 1-15, September.
    2. Du, Yan-dong & Zhou, Jia-le & Zhou, Xin-yue & Wu, Yang-wen & Lu, Qiang, 2024. "Investment risk assessment of anaerobic fermentation based hydrogen production project based on regret linguistic Z-number averaging Choquet integral operator," Renewable Energy, Elsevier, vol. 227(C).
    3. Jiang, Junxia & Gao, Xiaoqing & Lv, Qingquan & Li, Zhenchao & Li, Peidu, 2021. "Observed impacts of utility-scale photovoltaic plant on local air temperature and energy partitioning in the barren areas," Renewable Energy, Elsevier, vol. 174(C), pages 157-169.
    4. Li, Zhenchao & Zhao, Yanyan & Luo, Yong & Yang, Liwei & Li, Peidu & Jin, Xiao & Jiang, Junxia & Liu, Rong & Gao, Xiaoqing, 2022. "A comparative study on the surface radiation characteristics of photovoltaic power plant in the Gobi desert," Renewable Energy, Elsevier, vol. 182(C), pages 764-771.
    5. Gao, Jianwei & Guo, Fengjia & Li, Xiangzhen & Huang, Xin & Men, Huijuan, 2021. "Risk assessment of offshore photovoltaic projects under probabilistic linguistic environment," Renewable Energy, Elsevier, vol. 163(C), pages 172-187.
    6. Li, Biao & Lei, Chen & Zhang, Wenpu & Olawoore, Victor Samuel & Shuai, Yong, 2024. "Numerical model study on influences of photovoltaic plants on local microclimate," Renewable Energy, Elsevier, vol. 221(C).

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