Agriculture: how to create the perfect microclimate using solar panels
Shading, tailored cultivation and water conservation. A combination developed through research by the IFAB Foundation and the Dama Technology Park in Bologna, in collaboration with the Akren Group
Key points
Producing renewable energy and food on the same land, using technology to manage the environmental conditions in which crops grow. This is the new frontier of agrivoltaics, which is evolving from the simple coexistence of photovoltaic panels and agricultural activity towards integrated systems capable of using data and predictive models to improve resource management. This shift opens up new prospects for sustainability in the primary sector, which faces growing challenges relating to climate change, water availability, energy costs and the need to maintain land productivity.
These challenges are addressed by the ‘Microclimate Digital Twin in Agrivoltaic Systems’ project, supported by the IFAB Foundation (International Foundation for Big Data and Artificial Intelligence for Human Development) and promoted by Akren Group, auticon and E4 Computer Engineering. The project aims to develop a microclimatic digital twin of agrivoltaic systems, capable of virtually replicating the interactions between solar panels, weather conditions and crops, thereby providing new tools for the design and management of these systems.
“Today, the prevailing model focuses primarily on the coexistence of agricultural activity and energy production, by managing the shading caused by the panels. But this is merely agrivoltaics 1.0,” explains Maurizio Comodi, chief executive of the Akren Group. “ “The new frontier is second-generation agrivoltaics, in which we move from managing shade to genuine microclimate engineering. This transition can only be achieved through data.”
A virtual workshop for designing the microclimate
At the heart of Microclimate’s technology is a digital model fed by data collected from an experimental facility. Temperature, humidity, solar radiation and air behaviour are analysed to reconstruct the microclimatic conditions that develop beneath and around photovoltaic panels.
Unlike individual sensors, which provide measurements relating to specific points, the digital twin makes it possible to extend the analysis to the entire system and simulate alternative scenarios, thereby assessing in advance the effects of different plant configurations.

