Autorentext

Carlos Cruz de la Torre is currently an Assistant Professor of the Department of Electronics at the University of Alcalá, Spain. Dr Cruz holds an M.Sc. in Electronics Engineering from the University of Granada, Spain, and a PhD in Electronics from the University of Alcalá, Spain. He is an experienced engineer (ESRF and ALBA Synchrotrons, ESSBilbao, CSIC and CIEMAT centers) with a wide-ranging background in detector evaluation, software simulation and hardware design. His areas of research are optimization of energy communities, energy data analysis, electronic design, and reconfigurable hardware.

Marco Tostado-Véliz is an Assistant Professor in the Department of Electrical Engineering at the University of Jaén, Spain. He received a Bachelors degree in Electrical Engineering (with Hons.) in 2016 and Masters degree in 2017, both from the University of Seville, Spain, and obtained his PhD degree in 2020 from the University of Jaén, Spain. His primary research interests include smart grids, numerical methods for power system analysis, optimization of energy communities, multi-energy systems modelling, and computing tools for home energy management systems.

Paul Arévalo is a postdoctoral researcher at the University of Jaén and the University of Cuenca, Spain. His current research includes the planning and optimization of renewable energy systems, power systems, energy control, and demand forecasting. Dr Arévalo received a degree in electrical engineering from the University of Cuenca, Ecuador, in 2015. He received an M.Sc. in renewable energy management and an M.Sc. in renewable energies from the Rey Juan Carlos University in Madrid and the University of Jaén, Spain, respectively. In 2021, he received a Ph.D. in advances in materials engineering and sustainable energies.Francisco Jurado has been a Professor with the Department of Electrical Engineering, University of Jaén, Spain, since 1985. His current research interests include power systems, modeling, and renewable energy. He is a Senior Member of the IEEE.

Klappentext
Energy Communities: Fundamentals, Technologies, and Emerging Trends provides a comprehensive guide to understanding, designing, and optimizing energy communities, with step-by-step breakdowns of the technical, economic, and practical principles at play. This book opens by examining the key agents, models, and impacts of energy communities, including infrastructure, generation, and storage technologies. Part II delves into economic considerations, discussing legislative frameworks, barriers, greenwashing risks, and support mechanisms. Part III focuses on complex practical arrangements, providing cutting-edge, detailed case studies examining collective assets and cost-sharing mechanisms. Finally, Part IV addresses energy management and dispatch, highlighting demand and storage technologies utilizing deep learning, big data, and digital twin technology. With its holistic perspective, blending theoretical insights with practical blueprints and real-world case studies, Energy Communities: Fundamentals, Technologies, and Emerging Trends is an essential resource for students, engineers, and academics designing decentralized energy systems to enable renewable energy integration, and future-proof the power infrastructure.

Inhalt

Part I: Energy Communities: Characteristics, Economics and Technology.

1. Energy Communities: Agents, models and impact
2. Most typical generation and energy storage technologies in energy communities
3. Real energy communities worldwide and local electricity markets evolving the energy landscape

Part II: Economy of Energy Communities
4. Cross-border energy communities in the EU electricity sector: Types and benefits
5. Trust and participation in the energy community
6. Economic support for the development of energy communities and commons-based governance models
7. Social role of energy communities

Part III: Arrangement of Energy Communities
8. Access to collective assets in energy communities
9. Cost-sharing mechanisms in energy communities
10. Case study
11. Casestudy: An evaluation of the economic sustainability of energy communities across diverse business models and scenarios utilizing a cosimulation platform
12. Case study: Integrated design and deployment of a grassroots-based citizen energy community project based on an ESCO business model

Part IV: Energy management and dispatch in energy communities
13. Energy management and dispatch applying virtual inertia synthesis in energy communities
14. Demand and storage optimization in energy communities
15. Emerging trends: Artificial intelligence, deep learning, big data, and the role of digital twins applied to energy communities
16. A case study on decentralized energy trading using blockchain in prosumer-based microgrids