Validating the Smart Grid Architecture Model for Sustainable Energy Community Implementation: Challenges, Solutions, and Lessons Learned

The integration of renewable energy sources (RESs) and the establishment of energy communities (ECs) are vital steps in achieving global sustainability goals. This paper presents a methodology for developing and validating a Smart Grid Architecture Model (SGAM)-compliant software platform designed t...

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Vydáno v:Energies (Basel) Ročník 18; číslo 3; s. 641
Hlavní autoři: Janev, Valentina, Berbakov, Lazar, Tomašević, Nikola, Sotoca, Jesús Martin-Borja, Lujan, Sergio
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.02.2025
Témata:
Air quality management
Alternative energy sources
Analysis
Business models
Carbon
Case studies
Citizen participation
Climate change
Community
Data exchange
Demand side management
Emissions
energy communities
Energy consumption
Energy efficiency
Energy industry
Energy resources
Environmental aspects
EU directives
industrial park
Infrastructure
Innovations
Literature reviews
optimization
platform
renewable energy sources
Renewable resources
Scalability
service integration
Software
Sustainable development
Serbia
Spain
ISSN:1996-1073, 1996-1073
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Shrnutí:The integration of renewable energy sources (RESs) and the establishment of energy communities (ECs) are vital steps in achieving global sustainability goals. This paper presents a methodology for developing and validating a Smart Grid Architecture Model (SGAM)-compliant software platform designed to integrate data-driven energy services and connect physical energy assets within energy communities. The platform aims to optimize energy dispatch, enhance self-consumption, and facilitate interoperability with smart grid infrastructures. Two case studies—Polígono Industrial Las Cabezas in Spain and the IMP R&D campus in Serbia—are analyzed to highlight real-world challenges, solutions, and lessons learned. The article points to different scenarios relevant for energy community design and implementation. Lessons learned point to challenges related to device integration, production forecasting, user engagement, and regulatory barriers. The results show that the proposed SGAM platform successfully addresses technical and operational complexities, supporting energy efficiency, decarbonization, and scalability.
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ISSN:1996-1073
1996-1073
DOI:10.3390/en18030641