Project description
Maximising the role of demand response in the power sector
Today’s energy market is humming to a new beat – one that is electrified with larger renewable energy sources and more opportunities for demand response (DR). The EU-funded BRIGHT project will work to maximise the potential of DR at the consumer level, harnessing the potential of blockchain technology to deliver data-driven cross-stakeholder and cross-domain energy fingerprinting services. Specifically, it will design a co-creation process that lifts individual consumers to centre stage in order to deliver a DR that is multi-layered, community-centred, cross-domain, adaptable and multi-timescale. It will also combine user experience design driven by social science for user behaviour motivations that may include monetary and non-monetary incentives. Moreover, BRIGHT is focused on the use of digital twins for improved consumer predictability as well as artificial intelligence data-driven energy and non-energy services.
Objective
The increasing electrification of heat and transport coupled with larger RESs deployment of decentralized RESs is disclosing new additional opportunities for demand response. However DR potential has been exploited so far to a very limited extent at end consumer residential level, due to technologies immaturity, regulatory fuzziness, distorted business framework preventing end consumers to capture an appropriate value. To cope with the above challenges, BRIGHT will leverage on a participatory co-creation process to bring individual consumers center stage to deliver a multi-layered community-centred cross-domain adaptable multi-timescale DR supporting framework which combines social-science-driven user experience design for user behavior motivations and monetary/non-monetary incentive design, Digital Twins models for improved consumer predictability, multi-layered P2P DLT/blockchain/smart contracts based semi-decentralized VPPs for capturing intra-community interaction dynamics, value stacking flexibility management algorithms and other AI data-driven energy and-non energy services at the interplay among energy (power, heat, gas), mobility, health (comfort), smart home (AAL, personal safety). The proposed approach and the underlying enablers will be deployed and validated in 4 demo-sites across 4 EU countries where around 1000 mostly residential consumers will be engaged along a variety of different community configurations (LEC, CEC, Virtual Energy Communities, Communities on the Move).
Fields of science
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
00144 ROMA
Italy