Objective
ECS4DRES targets the ambitious objective of pursuing flexible, coordinated, and resilient distributed energy systems developing several innovation activities, specifically:
- realization of a multi-modal energy hub
- exploiting renewable energy sources
- realized by means of dedicated high-efficiency power electronics converters
- multi-modal energy storage devices
- sophisticated energy management algorithms enabling the local balances between energy production, storage, and consumption
ECS4DRES will strengthen the long-term reliability, safety, and resilience of DRES by developing advanced monitoring and control technologies including integrated sensors provided with energy harvesting functions, capable of different types of detection for safety purposes, and for monitoring of energy transfers. ECS4DRES will also achieve interoperable and low-latency communication systems, as well as algorithms, AI tools and methods, enabling the widespread interconnection, monitoring and management of a large number of DRES, subsystems, and components to realize optimal energy management between sources, loads, and storages, to improve power quality and to enable resilient system operation. Most of all, ECS4DRES commits to perform a thorough validation of all the above with a set of 5 relevant use cases and demonstrators.
By exploiting the project results, ECS4DRES will generate a wide range of scientific, technological, economic, environmental and societal impacts of global scale, fulfilling the needs of e.g. OEMs, DSOs, grid operators, EV charging station aggregators, energy communities, end customers, academia. ECS4DRES will provide interoperable and tailored solutions in the form of electronic control systems, sensor technology and smart systems integration for the deployment and efficient and resilient operation of DRES including integration of hydrogen equipment and components.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Programme(s)
Funding Scheme
HORIZON-JU-IA - HORIZON JU Innovation ActionsCoordinator
85579 Neubiberg
Germany
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Participants (30)
82166 Grafelfing
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91052 Erlangen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
91054 Erlangen
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50968 KOELN
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10997 Berlin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6827 AV Arnhem
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5503 LP VELDHOVEN
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1096 CJ Amsterdam
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1035 VD AMSTERDAM
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5612 AE Eindhoven
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2628 CN Delft
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08006 Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08225 Terrassa
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18071 Granada
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28006 Madrid
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50016 Zaragoza
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20864 Agrate Brianza
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00154 ROMA
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70126 Bari
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40125 Bologna
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
35122 Padova
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
56126 Pisa
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
10129 Torino
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
40126 Bologna
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98122 Messina
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95131 Catania
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95127 Catania
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
41122 Modena Mo
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81243 Bratislava
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962 31 Sliac
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.