Objectives
The project’s main objective is to create a climate digital twin capable of accurately reproducing the conditions of a physical agrivoltaic system. This requires a detailed analysis of the impact of shading on the microclimate and the development of comprehensive models that go beyond the limited granularity of data collected by individual sensors. The project also aims to simulate future scenarios, providing valuable insights to improve the planning and resilience of agrivoltaic systems. By developing an advanced tool to support design decisions, the project seeks to achieve optimal microclimatic conditions while contributing to the sustainability and resilience of the agricultural sector in the context of climate change.
Initial Challenge
The main challenge is to identify the optimal configuration of the agrivoltaic system by determining the most suitable level of shading to improve microclimatic conditions for crop growth. Accurately modelling the microclimate beneath the installation under different conditions is essential to address this challenge and understand how different panel configurations influence local climatic conditions.
Solution
The proposed solution involves the development of a climate digital twin capable of replicating the conditions of a physical agrivoltaic system. The process begins with the collection and analysis of data from an experimental agrivoltaic installation in order to understand the interaction between solar panels and crops. Open-source statistical models are then assessed and adapted to the project’s specific requirements. The digital twin architecture is subsequently defined to ensure an accurate representation of the real system. Data correlations are analysed and the statistical models are validated to ensure reliability. Finally, the digital twin is implemented and tested, providing a robust simulation tool for agrivoltaic systems.
Benefits
The project offers several significant benefits. By providing detailed insights into the microclimatic conditions within agrivoltaic systems, it enables the proactive management of these environments and helps improve their overall efficiency. This approach strengthens the resilience of agrivoltaic systems, making them more adaptable to changing environmental conditions. The digital twin also supports the design process by providing accurate simulations, contributing to the optimisation of both energy production and agricultural yields. More broadly, advanced research in agrivoltaics can provide practical tools for restoring land with reduced agricultural productivity while ensuring a sustainable balance between energy generation and farming activities.
IFAB’s Role
IFAB participated in the project as a funding organisation, selecting it as part of its investment programmes in research, innovation and technology transfer. IFAB’s contribution consisted of recognising the project’s scientific and practical value and providing financial support, thereby enabling the technical partners to carry out the planned research activities. This involvement further confirms IFAB’s mission as an accelerator of high-impact initiatives for the local area and the wider production ecosystem.
Partners
For further information, please contact: projects@ifabfoundation.org
