District solar potential for Citizen Energy Communities

A smart way to understand how much solar energy can be generated across an entire neighbourhood. Using digital 3D models and energy simulations, it identifies the rooftops and façades best suited for solar panels and helps communities plan renewable energy investments more effectively. Beyond the technical potential, the approach also considers costs, opportunities for local energy sharing and the benefits of involving residents in energy communities. Designed to be adaptable to different cities and contexts, it supports the development of cleaner, more resilient and locally produced energy systems.

BUSINESS ROUTE

Target Users

Architects, Investors and portfolio managers, Local authorities, Research community

More Information

Karviná, Czech Republic

Continental

Framework & Tools for CPCC

VALUE

Many cities and municipalities lack accurate, integrated methods for assessing local solar energy potential at the district scale, particularly in complex urban environments. Conventional approaches often evaluate buildings individually and do not adequately account for urban shading effects, façade integration opportunities, local energy sharing, or the interactions among technical, economic, and social factors. This methodology addresses these challenges by providing a comprehensive assessment framework for evaluating solar energy potential within Citizen Energy Communities and Positive Energy Districts. The approach supports more informed decision-making on renewable energy investments, building selection, energy-sharing strategies, and district-level energy planning. The solution also helps municipalities and stakeholders reduce uncertainty during early planning stages while supporting climate-neutral urban development and increased citizen participation in local energy systems.

APPLICATION

The methodology can be applied by municipalities, urban planners, architects, and researchers during the planning and development of renewable energy districts, Positive Energy Districts, and local energy communities. The approach is scalable because it relies on interoperable digital modelling and simulation tools that can be adapted to different building typologies, urban densities, climatic conditions, and regulatory contexts. The methodology can be applied to single buildings, neighbourhoods, or larger urban districts, depending on project scope and data availability. Replication is supported through the use of standard GIS data, 3D city models, and widely available solar simulation tools. The framework can also be integrated into broader urban planning, smart city, and energy transition strategies to support evidence-based decision-making and long-term renewable energy planning. The demonstration in Karviná 8 district provides practical experience for applying district-scale solar assessment methodologies within real urban environments and supports future replication across European cities, aiming to strengthen local renewable energy generation and citizen participation.