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Association between Dynamic Agrivoltaic System and Cultivation: Viability, Yields and Qualitative Assessment of Medical Plants

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  • Grazia Disciglio

    (Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Via Napoli 25, 71122 Foggia, Italy)

  • Laura Frabboni

    (Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Via Napoli 25, 71122 Foggia, Italy)

  • Annalisa Tarantino

    (Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Via Napoli 25, 71122 Foggia, Italy)

  • Antonio Stasi

    (Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Via Napoli 25, 71122 Foggia, Italy)

Abstract

This study investigated the comparative cultivation of six medicinal plant species (sage, oregano, rosemary, lavender, thyme, and mint) in a dynamic agrivoltaic (AV) system and a neighboring control plot exposed to full sun (referred to as “T”). Specifically, within the dynamic AV system, two distinct plot areas on the ground were identified due to the rotation of the panels: one consistently in the shade of the solar panels (UP), and another alternately in shade and sunlight (BP). The study involved the measurement of solar radiation, air temperature, and infrared leaf temperature during crop growth in these designated plots. Additionally, a weed survey was conducted at harvest time. The findings revealed that solar radiation, air temperature, infrared leaf temperature, and weed coverage were notably lower in the UP plot compared to both the BP and T plots. Furthermore, the yield of essential oils in sage, thyme, mint, and rosemary plants was higher in both the UP and BP plots than in the T plot. Hence, these factors seemingly positively impacted the performance of specific medicinal crops within the dynamic AV system. This information holds significance for producers and processors concerning crop quality.

Suggested Citation

  • Grazia Disciglio & Laura Frabboni & Annalisa Tarantino & Antonio Stasi, 2023. "Association between Dynamic Agrivoltaic System and Cultivation: Viability, Yields and Qualitative Assessment of Medical Plants," Sustainability, MDPI, vol. 15(23), pages 1-13, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16252-:d:1286628
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    References listed on IDEAS

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    1. Valle, B. & Simonneau, T. & Sourd, F. & Pechier, P. & Hamard, P. & Frisson, T. & Ryckewaert, M. & Christophe, A., 2017. "Increasing the total productivity of a land by combining mobile photovoltaic panels and food crops," Applied Energy, Elsevier, vol. 206(C), pages 1495-1507.
    2. Amaducci, Stefano & Yin, Xinyou & Colauzzi, Michele, 2018. "Agrivoltaic systems to optimise land use for electric energy production," Applied Energy, Elsevier, vol. 220(C), pages 545-561.
    3. Elamri, Y. & Cheviron, B. & Lopez, J.-M. & Dejean, C. & Belaud, G., 2018. "Water budget and crop modelling for agrivoltaic systems: Application to irrigated lettuces," Agricultural Water Management, Elsevier, vol. 208(C), pages 440-453.
    4. Schindele, Stephan & Trommsdorff, Maximilian & Schlaak, Albert & Obergfell, Tabea & Bopp, Georg & Reise, Christian & Braun, Christian & Weselek, Axel & Bauerle, Andrea & Högy, Petra & Goetzberger, Ado, 2020. "Implementation of agrophotovoltaics: Techno-economic analysis of the price-performance ratio and its policy implications," Applied Energy, Elsevier, vol. 265(C).
    5. Carlos Toledo & Alessandra Scognamiglio, 2021. "Agrivoltaic Systems Design and Assessment: A Critical Review, and a Descriptive Model towards a Sustainable Landscape Vision (Three-Dimensional Agrivoltaic Patterns)," Sustainability, MDPI, vol. 13(12), pages 1-38, June.
    6. Agostini, A. & Colauzzi, M. & Amaducci, S., 2021. "Innovative agrivoltaic systems to produce sustainable energy: An economic and environmental assessment," Applied Energy, Elsevier, vol. 281(C).
    7. Aidana Chalgynbayeva & Zoltán Gabnai & Péter Lengyel & Albiona Pestisha & Attila Bai, 2023. "Worldwide Research Trends in Agrivoltaic Systems—A Bibliometric Review," Energies, MDPI, vol. 16(2), pages 1-25, January.
    8. Ravi, Sujith & Macknick, Jordan & Lobell, David & Field, Christopher & Ganesan, Karthik & Jain, Rishabh & Elchinger, Michael & Stoltenberg, Blaise, 2016. "Colocation opportunities for large solar infrastructures and agriculture in drylands," Applied Energy, Elsevier, vol. 165(C), pages 383-392.
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