RECMOP

RECMOP (Renewable Energy Communities: Monitoring, Optimization and Planning) is a research and development project funded under the PNRR framework as part of the NEST - Network 4 Energy Sustainable Transition program, within Spoke 8.

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The project focuses on developing a comprehensive web-based monitoring network for Renewable Energy Communities (RECs), designed to optimize their spatial and temporal configurations to maximize social, environmental, and economic benefits. The platform integrates advanced GeoAI technologies, satellite data, in-situ sensors, and citizen-shared information to create transparent and accessible knowledge frameworks that support urban planning and facilitate the widespread adoption of renewable energy communities across Italian territories.

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RECMOP aims to tackle three fundamental challenges currently hindering the development of renewable energy communities. The first challenge involves overcoming the difficulty in engaging citizens as potential community members through participatory processes and transparent communication about the benefits these communities can provide. The second challenge focuses on developing optimal spatial and temporal configurations for renewable energy communities that consider not only energy and economic aspects but also urban sustainability and energy poverty reduction. The third challenge seeks to strengthen the role of local authorities and urban planning in promoting renewable energy communities, bridging the historical gap between energy planning and urban development strategies.

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The objective is to create a web-based platform that helps local authorities and stakeholders identify where and how to establish the most effective Renewable Energy Communities. Currently, when municipalities or citizens want to create these communities, they lack accessible tools to understand which locations would work best, what obstacles they might face, or what benefits they could realistically expect. The platform will provide this missing intelligence by combining satellite data analysis, AI algorithms, and citizen input to create detailed maps and recommendations for optimal REC placement and configuration.

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Latitudo 40 is developing the core geospatial intelligence engine that powers the platform. Specifically, the company is creating AI algorithms that automatically analyze satellite imagery to identify and map existing renewable energy installations, detect buildings with high energy consumption, and assess land suitability for new renewable installations. These algorithms will process both optical and radar satellite data to create detailed territorial assessments that update continuously as new satellite images become available.

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Additionally, Latitudo 40 is creating the technical infrastructure that integrates all this geospatial analysis into the web platform, ensuring that complex satellite data processing results are translated into user-friendly visualizations and recommendations that local authorities and citizens can easily understand and act upon. 

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