Renewable Energy Communities (RECs) are central to Europe’s strategy for reducing greenhouse gas emissions and advancing a sustainable, decentralized energy system. RECs aim to transform consumers into prosumers—individuals who both produce and consume energy—thereby enhancing energy efficiency, local autonomy, and citizen engagement. This study introduces a novel Geographic Information System (GIS)-based methodology that integrates socio-economic and spatial data to support the design of optimal REC configurations. QGIS 3.40.9 “Batislava” tool is used to simulate site-specific energy distribution scenarios, enabling data-driven planning. By combining a Composite Energy Vulnerability Index (CEVI), Rooftop Solar Potential (RSP), and the distribution of urban gardens (UGs), the approach identifies priority urban zones for intervention. Urban gardens offer multifunctional public spaces that can support renewable infrastructures while fostering local resilience and energy equity. Applied to the city of Rome, the methodology provides a replicable framework to guide REC deployment in vulnerable urban contexts. The results demonstrate that 11 of the 18 highest-priority areas already host urban gardens, highlighting their potential as catalysts for collective PV systems and social engagement. The proposed model advances sustainability objectives by integrating environmental, social, and spatial dimensions—positioning RECs and urban agriculture as synergistic tools for inclusive energy transition and climate change mitigation.

Spaces, energy and shared resources. New technologies for promoting more inclusive and sustainable urban communities / Cumo, Fabrizio; Pennacchia, Elisa; Maurelli, Patrick; Rosa, Flavio; Zylka, Claudia. - In: ENERGIES. - ISSN 1996-1073. - 18:16(2025), pp. 1-25. [10.3390/en18164410]

Spaces, energy and shared resources. New technologies for promoting more inclusive and sustainable urban communities

Fabrizio Cumo
Conceptualization
;
Elisa Pennacchia
Methodology
;
Patrick Maurelli
Software
;
Claudia Zylka
Writing – Original Draft Preparation
2025

Abstract

Renewable Energy Communities (RECs) are central to Europe’s strategy for reducing greenhouse gas emissions and advancing a sustainable, decentralized energy system. RECs aim to transform consumers into prosumers—individuals who both produce and consume energy—thereby enhancing energy efficiency, local autonomy, and citizen engagement. This study introduces a novel Geographic Information System (GIS)-based methodology that integrates socio-economic and spatial data to support the design of optimal REC configurations. QGIS 3.40.9 “Batislava” tool is used to simulate site-specific energy distribution scenarios, enabling data-driven planning. By combining a Composite Energy Vulnerability Index (CEVI), Rooftop Solar Potential (RSP), and the distribution of urban gardens (UGs), the approach identifies priority urban zones for intervention. Urban gardens offer multifunctional public spaces that can support renewable infrastructures while fostering local resilience and energy equity. Applied to the city of Rome, the methodology provides a replicable framework to guide REC deployment in vulnerable urban contexts. The results demonstrate that 11 of the 18 highest-priority areas already host urban gardens, highlighting their potential as catalysts for collective PV systems and social engagement. The proposed model advances sustainability objectives by integrating environmental, social, and spatial dimensions—positioning RECs and urban agriculture as synergistic tools for inclusive energy transition and climate change mitigation.
2025
renewable energy communities; geographic information system; energy planning; energy transition; climate change mitigation; renewable energy technologies; urban garden
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Spaces, energy and shared resources. New technologies for promoting more inclusive and sustainable urban communities / Cumo, Fabrizio; Pennacchia, Elisa; Maurelli, Patrick; Rosa, Flavio; Zylka, Claudia. - In: ENERGIES. - ISSN 1996-1073. - 18:16(2025), pp. 1-25. [10.3390/en18164410]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1744351
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