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Observed surface radiation and temperature impacts from the large-scale deployment of photovoltaics in the barren area of Gonghe, China

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  • Chang, Rui
  • Shen, Yanbo
  • Luo, Yong
  • Wang, Bo
  • Yang, Zhenbin
  • Guo, Peng

Abstract

As the installation of large-scale photovoltaic (PV) facilities in the barren area of Gonghe, China, would cover a substantial portion of the Earth's surface with PV panels, concerns exist about the extent to which PV plants induce unfavorable surface radiative effects from the change in land use. In contrast to the theoretical calculations and model simulations of previous studies, parallel observations derived from in situ experiments spanning two contrasting land surfaces in Gonghe, consisting of a natural barren surface and one covered with PV panel, provide new insight into the potential impact of large-scale PV plants on the surface radiation and temperature. The novel results presented here are as follows. (1) The specific variations of the surface shortwave radiation components enable the PV panels to serve as energy sinks throughout the whole year, especially in the warm season. (2) The cooling of the land surface associated with the PV plant is related to the physical shading by the PV panels and the solar energy conversion. (3) The enhanced temperature of the surface of the PV panel heats the adjacent ambient air, which may subsequently drive a PV heat-island effect. Moreover, recommendations for an improved experimental design are presented. Our findings provide a solid basis for the parameterization of a PV plant in numerical models, with the view to delivering a more realistic quantitative and practical guidance for the development of the solar industry in the future.

Suggested Citation

  • Chang, Rui & Shen, Yanbo & Luo, Yong & Wang, Bo & Yang, Zhenbin & Guo, Peng, 2018. "Observed surface radiation and temperature impacts from the large-scale deployment of photovoltaics in the barren area of Gonghe, China," Renewable Energy, Elsevier, vol. 118(C), pages 131-137.
    • Handle: RePEc:eee:renene:v:118:y:2018:i:c:p:131-137
    DOI: 10.1016/j.renene.2017.11.007
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    References listed on IDEAS

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    Cited by:

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    2. Yiqing Li & Weiguo Yang & Lixin Tian & Jie Yang, 2018. "An Evaluation of Investment in a PV Power Generation Project in the Gobi Desert Using a Real Options Model," Energies, MDPI, vol. 11(1), pages 1-16, January.
    3. 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.
    4. Wei Wu & Shengjuan Yue & Xiaode Zhou & Mengjing Guo & Jiawei Wang & Lei Ren & Bo Yuan, 2020. "Observational Study on the Impact of Large-Scale Photovoltaic Development in Deserts on Local Air Temperature and Humidity," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
    5. Li, Peidu & Gao, Xiaoqing & Li, Zhenchao & Ye, Tiange & Zhou, Xiyin, 2022. "Effects of fishery complementary photovoltaic power plant on near-surface meteorology and energy balance," Renewable Energy, Elsevier, vol. 187(C), pages 698-709.
    6. Miguel Centeno Brito, 2020. "Assessing the Impact of Photovoltaics on Rooftops and Facades in the Urban Micro-Climate," Energies, MDPI, vol. 13(11), pages 1-10, May.
    7. Zhang, Nian & Zhang, Zifu & Cong, Zhentao & Lei, Huimin & Luo, Yong, 2023. "The impact of photovoltaic power plants on surface energy budget based on an ecohydrological model," Renewable Energy, Elsevier, vol. 212(C), pages 589-600.
    8. 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.
    9. Hurduc, Alexandra & Ermida, Sofia L. & Brito, Miguel C. & Göttsche, Frank-M. & DaCamara, Carlos, 2024. "Impact of a small-scale solar park on temperature and vegetation parameters obtained from Landsat 8," Renewable Energy, Elsevier, vol. 221(C).

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