Energetic Geometry: The Art and Power of Agrivoltaics is a generative platform built with p5.js that reimagines agrivoltaic data as abstract, geometric visuals—blending art, science, and creative coding into an accessible visual experience.
Agrivoltaics is the practice of co-locating solar panels with agricultural activity—whether that means planting crops beneath solar arrays, restoring habitat, or rotating livestock through a photovoltaic (PV) field. Rather than treating farmland and solar sites as separate choices, this hybrid approach combines them in new and adaptable ways.
The visual logic is shaped by influences from abstraction, systems-based art, and perceptual design. Suprematist works by Kazimir Malevich and El Lissitzky inform its geometric clarity and spatial structure, while Sol LeWitt's conceptual art frames the generative code as a system for executing ideas.
Dynamic, rule-based visuals reflect the procedural approaches of Casey Reas, Ben Fry, and Vera Molnár, who transform data into visual form. Optical strategies drawn from Bridget Riley and Victor Vasarely amplify motion and ecological rhythm, while Marius Watz contributes a sense of generative flow and systemic emergence.
Helvetica, selected to align with Robert Bringhurst's principles of clarity and restraint, provides a neutral typographic foundation that supports the visual complexity without distraction.
This project draws on publicly available data from the Innovative Solar Practices Integrated with Rural Economies and Ecosystems (InSPIRE) Agrivoltaics Map—a project led by the U.S. Department of Energy and managed by the National Renewable Energy Laboratory. InSPIRE supports the growth of agrivoltaics by providing open data, field research, and tools that promote sustainable solar-agriculture practices. Their dataset forms the foundation for the visual translations in this project.
By merging abstraction, data, and creative code, Energetic Geometry frames agrivoltaics as a living dialogue between land, energy, and life. Moving beyond conventional charts and diagrams, the project encourages viewers to engage with data through a different lens. Generative art offers an alternative mode of understanding—highlighting patterns, relationships, and systems that might otherwise go unnoticed.
How might generative systems deepen our understanding of climate solutions and reshape how we see sustainability itself?