ECom4Future
Fiware Driven ENERGY COMmunities for the FUTURE
Description
Development of an interdisciplinary conceptualization of energy communities from technical, psychological as well as regulatory and legal perspectives. Identification of relevant psychological indicators for support of energy communities and the willingness to participate in all four project countries
Main Goal
To advance energy communities by integrating technical, social, and regulatory aspects, enabling smart load management, local energy markets, and secure collaboration, while promoting replication and broad impact across the energy sector.
Objective 1
Development of an interdisciplinary conceptualization of energy communities from technical, psychological as well as regulatory and legal perspectives. Identification of relevant psychological indicators for support of energy communities and the willingness to participate in all four project countries.
Objective 2
Analysis of market segmentation and user profiles for customers in energy communities, including apartment buildings. Classify different types of loading conditions in the typical energy communities using power profiles characteristic to modern / smart living environment.
Objective 3
Physics-informed energy analytics and load monitoring for energy communities, apartment buildings and small commercial, to gather additional insights for fault prevention, investment planning and forecasting.
Objective 4
Development of a coupled local energy market for the exchange of flexibility between different customers including the physical state of the local power grid in energy communities.
Objective 5
Analysis of security and privacy aspects in the energy supported by an ICT platform.
Objective 6
Demonstration of the cooperation of different flexibility providers and energy communities as well as gathering insights from trial sites.
Objective 7
Identification of synergies among the community members, achieving broad dissemination and exploitation of the project activities and results, facilitating replication of the developed methods throughout the energy sector.
Topics
Design and development of a physics-informed AI solution for optimized control of energy communities on a cross domain level, by including social, policy, legal and regulatory aspects, without neglecting the technical feasibility by considering the smart grid as well as cross-sector prosumers with EVs, heating and cooling and renewable generation.
Goal 2: Achieve impact by providing the customers and investors with high time resolution power profiles of consumption and production for different use cases. This will assist future investments, market decisions and provides a tailor-made solution that increase efficiency.
Partners
This project has received funding in the framework of the The Clean Energy Transition Partnership Initiative (CETP), Joint Call 2022 co-funded by the European Commission under the Horizon Europe Partnership scheme, and with the funding organizations below.
Supported by the German National Agency – Federal Ministry for Economic Affairs and Climate Action
Supported by the national funding institution for industry-related research and development – Austrian Research Promotion Agency (FFG)
Supported by the Swedish Energy Agency
Supported by the Romanian National Authority for Scientific Research and Innovation