This study presents data for a techno-economic price-performance ratio calculation retrieved from an inter- and transdisciplinary agriphotovoltaic case study in Germany.
The Maine Department of Agriculture, Conservation, and Forestry presents this technical guide regarding the siting of utility-scale solar projects with consideration for valuable agricultural land, forest resources, and rare or unique natural areas. The guide is intended to provide practical information for those considering solar development on their property, as well as planning important preconstruction, construction, and post-construction/decommissioning activities.
This paper is an analysis of three different agrivoltaic configurations: static with optimal tilt, vertically-mounted bifacial, and single-axis horizontal tracking. A model is also developed to calculate the shadowing losses on the PV panels along with the reduced solar irradiation reaching the area under them for different PV capacity densities.
This article posits that in order to optimize agrivoltaic systems for crop growth, energy pathways must be characterized. While solar panels shade crops, they also emit longwave radiation and partially block the ground from downwelling longwave radiation. The authors suggest that a deeper understanding of the spatial variation in incoming energy would enable controlled allocation of energy in the design of agrivoltaic systems. This paper also presents a model to quantify the downwelling longwave energy at the ground surface in an agrivoltaic array and demonstrates that longwave energy should not be neglected when considering a full energy balance on the soil under solar panels.
When installing photovoltaic panels on agricultural land, one of the most important aspects to consider are the effects of the shadows of the panels on the ground. This study presents a valid methodology to estimate the distribution of solar irradiance in agrivoltaic installations as a function of the photovoltaic installation geometry and the levels of diffuse and direct solar irradiance incident on the crop land.
This PhD dissertation addresses four primary questions: 1.) To what extent is plant-available radiation reduced by solar panels of a photovoltaic system? 2.) How does this effect parameters of aerial and soil climate? 3.) How do the cultivated crops respond to the altered cropping conditions with regard to plant growth and development? 4.) What consequences does this have regarding the yields and the chemical composition of the investigated crop-species? A field experiment in which grass clover, potatoes, celery, and winter wheat were planted under a photovoltaic facility in Southwest Germany was conducted to answer these questions.
This guide, developed in Germany by Fraunhofer, provides information on the potential of agrivoltaics, including the latest technologies and regulatory frameworks in this area. It also offers practical tips on how agrivoltaics can be used by farmers, municipalities and companies.
This report by SolarPower Europe provides guidelines to support solar industry stakeholders with information about environmental legislation at the EU and European national levels. It also addresses the potential impacts on land use and outlines key actions for suitable land identification for solar PV projects.
The researchers in this study aimed to simulate crop yields for paddy rice, barley, and soybeans grown under photovoltaic panels with an eye on reaching suitable agricultural productivity for the energy and food nexus coexistence. They also applied a geospatial crop simulation modeling system to stimulate the regional variations in crop yield according to solar […]
This study evaluates green bean cultivation inside greenhouses with photovoltaic (PV) panels on the roof. Researchers found that the beans adapted to the change in shading by relocating more resources to the stems and leaves. As a result, average yield decreased compared to that of a conventional greenhouse. However, an economic trade-off between energy and crop yield can be achieved with a panel coverage of 10%. The research also provides an experimental framework that could be replicated and used as a decision support tool to identify other crops suitable for solar greenhouse cultivation.
