An algorithm for calculating the shade created by greenhouse integrated photovoltaics

• Published in: Energy, ecology and environment (Online) ecology and environment (Online), 2024-06, Vol.9 (3), p.272-300
• Main Authors: Petrakis, Theodoros, Thomopoulos, Vasileios, Kavga, Angeliki, Argiriou, Athanassios A.
• Format: Article
• Language: English
• Subjects: Agricultural economics; Algorithms; Coefficient of variation; Crop development; Crops; Earth and Environmental Science; Ecology; Energy; Energy consumption; Environment; Finite element analysis; Flowers & plants; Greenhouses; Investigations; Light; Linear algebra; Methods; Microclimate; Numerical analysis; Optimization; Original Article; Photosynthesis; Photovoltaic cells; Photovoltaics; Plant growth; Radiation; Renewable energy sources; Roofs; Shade; Shading; Solar energy; Solar panels; Solar radiation; Temperature
• ISSN: 2363-7692; 2363-8338
• DOI: 10.1007/s40974-023-00306-4

Integration of photovoltaic modules into greenhouse roofs is a novel and intriguing method. The cost of products grown in greenhouses is particularly high because of their high energy consumption for heating and cooling, and at the same time the increase in demand for available land, increasing its cost and creating spatial issues, the integration of photovoltaics on the roof of greenhouses is a highly viable solution. Simultaneously, the use of solar radiation is critical to maintain optimal crop development, while also being a renewable energy source. However, photovoltaics reduce the incoming solar radiation in the greenhouse, due to their shade. Shading can be either beneficial for the crops or not, depending on the crop type, thus it is vital to find the shading caused by photovoltaics both temporally and spatially. In this study, a model calculating the shading in a greenhouse due to roof-integrated photovoltaics is developed, based on the Sun position, the geometry of both the greenhouse and of the roof-integrated photovoltaics and their position on the greenhouse roof. Calculating the coefficient of variation of radiation data, for the shaded and unshaded areas using the proposed algorithm, it was found the coefficient of variation for the shaded areas is lower than that for the unshaded areas for a least 76% of the time. Also, the radiation values under the shaded area are more uniform. The proposed model is a tool for PV designers, operators, and owners, in order to optimize the potential of their solar panel installations.