Work

Thermal energy characterization methodology based on GIS for energy communities and demand response strategies

Year: 2025

Type: article

Abstract: Defining optimal zones for the implementation of Energy Communities (ECs) is increasingly relevant, given their broad scope and the need to align multiple dimensions and needs. Existing approaches often address generation potential or social vulnerability in isolation and rarely incorporate demand-side flexibility, limiting ECs strategic applicability. While ECs are not restricted to single-site configurations, identifying cohesive spatial areas where these factors converge remains complex. This study proposes a GIS-based methodology that combines free available multidimensional online-data with a novel classification of thermal inertia response archetypes to improve the identification of the EC site while mapping the flexibility of the demand side. The methodology is validated in a case study in the Region of Madrid, Spain, where four priority zones for ECs were identified. Results highlight the effectiveness of multidimensional integration in EC planning, ensuring both equity and flexibility. The proposed methodology is scalable and replicable, offering municipalities and grid operators a data-driven methodology for strategic identification of EC locations.

Source: Results in Engineering

DOI: 10.1016/j.rineng.2025.105769

Authors: Adelaida Parreño-Rodríguez, Angel Molina-García, Alice Mugnini, Alessia Arteconi, Alfonso P. Ramallo-González

Institutions: Universidad de Murcia, Universidad Politécnica de Cartagena, Università degli Studi eCampus, Marche Polytechnic University, KU Leuven

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: gold

Estimated APC paid: $1,940