Project description
A proposal for customer energy managers
Recent changes and innovations in the energy sector have showcased the possible benefits of utilising demand-side flexibility management (DSFM) solutions for improving overall efficiency. Customer energy managers and resource managers are crucial tools for this purpose, being efficient, practical and promising DSFM solutions. The EU-funded RESONANCE project will integrate DSFM in Europe by developing a revolutionary software framework that will allow for the easy and fast incorporation of customer energy manager and resource manager solutions. To achieve this, it will cooperate with stakeholders and sector actors to encourage the adoption of customer energy managers and showcase their lower costs and work requirements.
Objective
The RESONANCE project develops an innovative software framework that provides means for rapid development and plug-and-play deployment of standard-compliant Customer Energy Manager (CEM), Resource Manager (RM), and their aggregation solutions. The CEM, specified in the EN 50491-12 standard family, is the next-generation demand-side flexibility management (DSFM) solution in Europe. CEM is a software agent that automates DSFM by interacting with smart appliances (represented by RMs), aggregators, and the markets to maximize customer benefits. According to the new EN 50491-12-2 standard, CEMs are envisioned to 1) provide a more deterministic demand response, and 2) be able to optimize consumer benefits with respect to multiple incentives and optimization targets. To achieve this, there is a need for accurate models of flexible assets (smart appliances) and model predictive control techniques to automate the decision-making within the customer premises. The RESONANCE Framework will facilitate the adoption of CEMs as the next generation DSFM system by significantly reducing the development efforts and costs. This is achieved with 1) a standard-compliant and modular system architecture, and 2) an innovative modeling pipeline that combines automated machine learning (AutoML) with physics-based modeling to provide accurate and robust models of flexible assets with minimum effort. The project brings together 19 partners (including a cluster with 40 organizations) with inter-disciplinary expertise and forms a basis for a cross-sector energy ecosystem that significantly contributes to the mobilization of DSFM at a large scale. Large scale piloting in six member states with a variety of consumer sectors, flexible assets (e.g. electric vehicles, HVAC systems, and white goods), stakeholders, and market settings (including sector integration with district heating) is utilized for demonstrating and validating the scalability and replication potential of the solutions.
Fields of science
- natural sciencescomputer and information sciencessoftware
- social sciencessocial geographytransportelectric vehicles
- engineering and technologymechanical engineeringthermodynamic engineering
- natural sciencesbiological sciencesecologyecosystems
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
Topic(s)
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HORIZON-IA - HORIZON Innovation ActionsCoordinator
02150 Espoo
Finland
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Participants (18)
01650 Vantaa
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11251 Athens
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80805 Munchen
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75008 Paris
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
415 28 Goteborg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00380 Helsinki
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1000 Ljubljana
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1231 Ljubljana
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15125 Marousi Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
93053 Regensburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
13100 Aix En Provence
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3460 Birkerod
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
50100 Kozani
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3000 Celje
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3320 Velenje
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
431 53 MOLNDAL
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3000 Celje
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502 00 PTOLEMAIDA
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