スウォンジー大学の新しい研究が、太陽光発電と農業の共存に光を当てる(New research from Swansea University shines a light on how solar power and farming can coexist)

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2024-09-06 スウォンジー大学

スウォンジー大学の新しい研究は、農業と太陽光発電の共存を探るもので、作物の成長と発電を両立させる最適な光電材料を特定するツールを開発しました。このツールは、地理的、物理的、電気的データに基づき、光の透過や吸収、発電量を予測します。研究では、作物が光合成に必要な赤と青の光を透過させるために、半透明の光電材料を調整し、農業とエネルギー生産のバランスを最適化することを目指しています。

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農業用太陽光発電の性能限界について-熱力学的考察から地理気象学的考察まで On the Performance Limits of Agrivoltaics—From Thermodynamic to Geo-Meteorological Considerations

Austin M. Kay, Drew B. Riley, Oskar J. Sandberg, Gregory Burwell, Paul Meredith, Ardalan Armin
Solar RRL  Published: 26 August 2024
DOI:https://doi.org/10.1002/solr.202400456

スウォンジー大学の新しい研究が、太陽光発電と農業の共存に光を当てる(New research from Swansea University shines a light on how solar power and farming can coexist)

Abstract

As the world strives toward its net-zero targets, innovative solutions are required to reduce carbon emissions across all industrial sectors. One approach that can reduce emissions from food production is agrivoltaics—photovoltaic devices that enable the dual-use of land for both agricultural and electrical power-generating purposes. Optimizing agrivoltaics presents a complex systems-level challenge requiring a balance between maximizing crop yields and on-site power generation. This balance necessitates careful consideration of optics (light absorption, reflection, and transmission), thermodynamics, and the efficiency at which light is converted into electricity. Herein, real-world solar insolation and temperature data are used in combination with a comprehensive device-level model to determine the annual power generation of agrivoltaics based on different photovoltaic material choices. It is found that organic semiconductor-based photovoltaics integrated as semitransparent elements of protected cropping environments (advanced greenhouses) have comparable performance to state-of-the-art, inorganic semiconductor-based photovoltaics like silicon. The results provide a solid technical basis for building full, systems-level, technoeconomic models that account for crop and location requirements, starting from the undeniable standpoint of thermodynamics and electro-optical physics.

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