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Estimation Model of Agrivoltaic Systems Maximizing for Both Photovoltaic Electricity Generation and Agricultural Production

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  • Daisuke Yajima

    (Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan)

  • Teruya Toyoda

    (Graduate School of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan)

  • Masaaki Kirimura

    (Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan
    Faculty of Agriculture, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan)

  • Kenji Araki

    (Faculty of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan)

  • Yasuyuki Ota

    (Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan
    Graduate School of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan
    Faculty of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan)

  • Kensuke Nishioka

    (Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan
    Graduate School of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan
    Faculty of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki 889-2192, Japan)

Abstract

Climate change and increasing food demand are global issues that require immediate attention. The agrivoltaic system, which involves installing solar panels above farmland, can simultaneously solve climate and food issues. However, current systems tend to reduce agricultural production and delay the harvest period due to shading by the solar panels. A delayed harvest period impacts the income of farmers who wish to sell produce at specific times. Incorporating a model that calculates the amount of electricity generated by solar irradiation, this study establishes a model to estimate the correct start date of cultivation for solar panel covered crops to ensure the correct harvest date and determines the expected income of farmers by calculating agricultural production and power generation. Using taro cultivation in Miyazaki Prefecture as a case study, the model estimated that the start date of cultivation should be brought forward by 23 days to ensure the ideal harvest period and agricultural production. This would prevent an opportunity loss of USD 16,000 per year for a farm area of 10,000 m 2 . Furthermore, an additional income of USD 142,000 per year can be expected by adjusting shading rates for the cultivation and non-cultivation periods.

Suggested Citation

  • Daisuke Yajima & Teruya Toyoda & Masaaki Kirimura & Kenji Araki & Yasuyuki Ota & Kensuke Nishioka, 2023. "Estimation Model of Agrivoltaic Systems Maximizing for Both Photovoltaic Electricity Generation and Agricultural Production," Energies, MDPI, vol. 16(7), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3261-:d:1116628
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    References listed on IDEAS

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    Cited by:

    1. Chopdar, R.K. & Sengar, N. & Giri, Nimay Chandra & Halliday, D., 2024. "Comprehensive review on agrivoltaics with technical, environmental and societal insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    2. Adriano A. Santos & Filipe Pereira & António Ferreira da Silva & Nídia Caetano & Carlos Felgueiras & José Machado, 2023. "Electrification of a Remote Rural Farm with Solar Energy—Contribution to the Development of Smart Farming," Energies, MDPI, vol. 16(23), pages 1-17, November.
    3. Yao, Shiyue & Baker, Justin S. & Brown, Zachary S., 2024. "Dynamic Decision Making of Agrivoltaics in California’s Central Valley," 2024 Annual Meeting, July 28-30, New Orleans, LA 343938, Agricultural and Applied Economics Association.

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