斯旺西大学的科学家开发了一种预测光伏材料光特性的工具, 以优化农业电力. Swansea University scientists develop a tool predicting light properties for photovoltaic materials to optimize agrivoltaics.

Swansea大学的科学家创造了一个工具,预测全球光传输、吸收和光伏(光伏)材料的发电。 Scientists at Swansea University have created a tool that predicts light transmission, absorption, and power generation of photovoltaic (PV) materials globally. 这项创新旨在通过选择优化作物光合作用的光伏材料来增强农业光伏技术，将太阳能电池板与农业相结合。 This innovation aims to enhance agrivoltaics—integrating solar panels with agriculture—by selecting PV materials that optimize light for crops' photosynthesis. 这一技术可通过平衡能源生产和粮食供应,极大地帮助农业脱碳和改善粮食安全。 This technology could significantly aid in decarbonizing agriculture and improving food security by balancing energy production and food supply.