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Potential of module arrangements to enhance convective cooling in solar photovoltaic arrays

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  • Stanislawski, B.
  • Margairaz, F.
  • Cal, R.B.
  • Calaf, M.

Abstract

When solar photovoltaic (PV) module temperatures rise during operation, commonly-installed modules experience an efficiency loss between 0.1 and 0.5% per degree above 25∘C. Thus, extensive research has aimed to reduce the operating temperature of solar modules. However, many cooling solutions require additional cost or equipment that precludes their implementation in utility-scale PV plants. Based on previous studies of land-atmosphere interactions of surface thermal heterogeneity, we hypothesize that certain solar farm arrangements may enhance natural convective heat transfer between the solar modules and surrounding flow. Due to the strong non-linear relationship between module temperature and convective heat transfer, enhancing the convective cooling could have substantial impacts on module efficiency. Here, we investigate the potential impact of module arrangements on the convective cooling of large PV arrays. Three idealized module arrangements are evaluated in comparison to the traditional, row-organized arrangement. To characterize each arrangement, a non-dimensional packing parameter is developed. Numerical simulation results indicate that dense arrangements with larger packing parameters more effectively enhance convective cooling than sparse arrangements. Compared to the baseline, the most compact arrangement exhibited an increase in convective heat transfer of 14.8%. These results indicate that module arrangement plays an influential role in solar farm convective cooling.

Suggested Citation

  • Stanislawski, B. & Margairaz, F. & Cal, R.B. & Calaf, M., 2020. "Potential of module arrangements to enhance convective cooling in solar photovoltaic arrays," Renewable Energy, Elsevier, vol. 157(C), pages 851-858.
  • Handle: RePEc:eee:renene:v:157:y:2020:i:c:p:851-858
    DOI: 10.1016/j.renene.2020.04.049
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    References listed on IDEAS

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    1. John N. Friedman & Richard T. Holden, 2008. "Optimal Gerrymandering: Sometimes Pack, but Never Crack," American Economic Review, American Economic Association, vol. 98(1), pages 113-144, March.
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    Cited by:

    1. Paxis Marques João Roque & Shyama P. D. Chowdhury & Zhongjie Huan, 2021. "Improvement of Stand-Alone Solar PV Systems in the Maputo Region by Adapting Necessary Parameters," Energies, MDPI, vol. 14(14), pages 1-18, July.
    2. Williams, Henry J. & Hashad, Khaled & Wang, Haomiao & Max Zhang, K., 2023. "The potential for agrivoltaics to enhance solar farm cooling," Applied Energy, Elsevier, vol. 332(C).

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