Project description
New reference architecture for smart energy
Advancements in next-generation energy technologies will drastically transform how the world generates and consumes power. Starting with the decentralisation of the energy system, it is necessary to establish a fair and secure engagement between big data and artificial intelligence (AI) technologies. To achieve this, there is a need for more standardisation of big data architectures for smart grids and regulatory frameworks that do not facilitate actual data sharing. The EU-funded BD4NRG project will develop a reference architecture for smart energy to align various architectures together with an interoperable AI-driven big data analytics framework. This will enable cross-stakeholders data-driven services and full interoperability of leading-edge big data technologies with smart grid standards and operational frameworks.
Objective
The rising decentralization of the energy system is unveiling an enormous opportunity for energy stakeholders to leverage on big data & AI technologies to improve decision making. There are however some barriers hampering the exploitation of this potential, such as the lack of standardized big data architectures for smart grids and regulatory frameworks not enabling data sharing. In that respect BD4NRG will i) deliver a reference architecture for Smart Energy, which aligns BDVA SRIA, IDSA and FIWARE architectures, SAREF standard and extend COSMAG specification to enable B2B multi-party data exchange, while providing full interoperability of leading-edge big data technologies with smart grid standards and operational frameworks ii) evolve and upscale a number of TRL 5-6 technology enablers, such as scalable sovereignty-preserving hybrid DLT/off-chain data governance, big data elastic pipeline orchestration, IoT/edge AI-based federated learning and multi-resource sharing tokenized marketplace, loosely integrate and deploy them within the TRL 7-8 BD4NRG framework iii) deliver a TRL8 open modular big data analytic toolbox as front-end for one-stop-shop analytics services development by orchestrating legacy and/or third party assets (data, computing resources, models, algorithms) iv) validate such framework through the delivery of predictive and prescriptive edge AI-based big data analytics on 13 large scale pilots, deployed by different energy stakeholders (TSOs and DSOs power network operators, aggregators, storage/renewable assets operators, local energy communities, ESCOs, power market operators, municipalities, financial institutions and ENTSO-E), fully covering the energy value chain v) setup a vibrant data-driven ecosystem through the SGBDAA Alliance, which will federate new energy data providers, attract SMEs for novel energy services provisioning through cascading funding and validate a hybrid energy/industry value chain supporting B2B joint digital platforms.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- social sciencessociologygovernance
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energyhybrid energy
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesdata sciencedata exchange
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
00144 ROMA
Italy
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Participants (37)
157 80 ATHINA
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52062 Aachen
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1466 Luxembourg
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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.
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.
44227 Dortmund
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1000 Bruxelles / Brussel
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12244 Aigaleo
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28037 Madrid
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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.
28760 Tres Cantos Madrid
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47151 Boecillo
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1000 Ljubljana
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00191 Roma
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1749 061 Lisboa
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2685 038 Sacavem
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2829-516 Caparica
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8970 064 Alcoutim
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10587 Berlin
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2600 Antwerpen
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2595 DA Den Haag
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05100 Terni
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1010 Riga
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1233 Dob
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
153 43 Agia Paraskevi
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3001 Leuven
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032733 Bucuresti
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1220 Wien
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.
76137 Karlsruhe
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1000 Ljubljana
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1000 Ljubljana
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08172 Sant Cugat Del Valles Barcelona
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1000 Ljubljana
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00186 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
26010 Eskisehir
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28043 Madrid
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1098 XG Amsterdam
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1061 Lefkosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
73013 Galatina Le
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.