Automatic Agrivoltaic Site Selection: a User-Friendly Interface powered by AHP Multicriteria Decision-Making

This paper presents an efficient approach to automatic agrivoltaic site selection, integrating a user-friendly interface with the Analytic Hierarchy Process (AHP) for multicriteria decision-making and advanced geospatial analysis. The goal is to empower users, including non-experts, with a practical tool for informed decision-making. Users provide raster and vector data from the region of interest and assign importance weights to layers. The software supports a wide range of spatial data, from solar exposure and slope to restricted areas, and allows for dynamic configuration of additional relevant layers. Layers can also include constraints, such as safety distances from structures. The tool optimizes site selection using efficient spatial searches with low computational complexity, while intermediate results are rendered in a graphic application. By evaluating criteria like solar exposure and topography, the application offers a systematic approach to site selection. Preliminary tests show promising results, and the final version is expected to deliver a valuable tool for sustainable agrivoltaic project planning.

Publication Details

Journal
EU PVSEC
Published
2024-11-14
DOI
https://doi.org/10.4229/eupvsec2024/4do.3.4
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic Agrivoltaic Site Selection: a User-Friendly Interface powered by AHP Multicriteria Decision-Making

EU PVSEC
Solar Radiation and Photovoltaics
article

Automatic Agrivoltaic Site Selection: a User-Friendly Interface powered by AHP Multicriteria Decision-Making

article en

Abstract

This paper presents an efficient approach to automatic agrivoltaic site selection, integrating a user-friendly interface with the Analytic Hierarchy Process (AHP) for multicriteria decision-making and advanced geospatial analysis. The goal is to empower users, including non-experts, with a practical tool for informed decision-making. Users provide raster and vector data from the region of interest and assign importance weights to layers. The software supports a wide range of spatial data, from solar exposure and slope to restricted areas, and allows for dynamic configuration of additional relevant layers. Layers can also include constraints, such as safety distances from structures. The tool optimizes site selection using efficient spatial searches with low computational complexity, while intermediate results are rendered in a graphic application. By evaluating criteria like solar exposure and topography, the application offers a systematic approach to site selection. Preliminary tests show promising results, and the final version is expected to deliver a valuable tool for sustainable agrivoltaic project planning.

EU PVSEC
Openalex Percentile: Top 57%
Solar Radiation and Photovoltaics
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