This study discusses the development of a wood-based PV vertical racking design, created to help overcome cost barriers present with commercially available vertical racks. This design is constructed with domestic renewable and sustainable materials, buildable by the average farmer, has a 25-year lifetime that aligns with most PV warranties, and follows Canadian building codes to weather high wind speeds and heavy snow loads.

This paper highlights the higher annual solar irradiation incident of single-axis N-S trackers installed on sloping terrain, as compared to horizontal ones. Researchers showcase the results of a year-long experiment in which a N-S aligned single-axis tracker prototype was used in Gijón, Spain. The experimental results confirm the trends in the formulas and simulations. Finally, theoretical values for the energy gain for different slopes, at locations over the northern hemisphere between latitudes of 6◦ and 60◦ are provided. These gains can reach values up to 13.5%.

Commercial proprietary vertical racks cost more than all types of conventional PV farm racking solutions. To overcome these cost barriers, this study reports on the development
of a new wood-based PV racking design.

This work contributes to agrivoltaic design methodology through a digital replica and genomic optimization framework which simulates light rays in a procedurally generated agrivoltaic system at an hourly timestep for a defined crop, location and growing season to model light absorption by the photovoltaic panels and the crop.

This study focused on the photosynthetic photon flux density and employed an all-climate solar spectrum model to calculate the photosynthetic photon flux density accurately on farmland partially shaded by solar panels and supporting tubes. This study also described an algorithm for estimating the photosynthetic photon flux density values under solar panels.

This work contributes to agrivoltaic design methodology through a digital replica and genomic optimization framework which simulates light rays in a procedurally generated agrivoltaic system at an hourly timestep for a defined crop, location and growing season to model light absorption by the photovoltaic panels and the chosen tomato crop.

This article provides a bibliometric analysis of agrivoltaic topics based on 121 publications indexed in SCOPUS, in which either economic assessments of agrivoltaics, agrivoltaic systems for crops and livestock animals, photovoltaic greenhouse and agrivoltaics with open field are discussed, or its ideas are used to analyze certain locations.

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.

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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.