Summary
Smart automated Demand Response (DR) represents a valid alternative to grid reinforement for electricity Distribution System Operators (DSOs) to procure in a cost-effective way the necessary flexibility for integrating larger shares of intermittent RESs, while not compromising security of supply and network reliability. However DR potential has been exploited so far to a very limited extent due to a number of technological, regulatory, economic barriers. To cope with these challenges, eDREAM will develop and make available a novel near real time DR scalable secure blockchain-driven technological and business framework aimed to optimize aggregated system services flexibility provisioning to DSOs. The project will research and develop tools and services for: i) optimal DR system design, which includes early detection of flexibility potential via multimodal fusion of aerial, LIDAR and thermal imaging, end users profiling and segmentation by leveraging on big data clustering and large data sets visual interactive exploration and DR optimization services for energy end users; ii) optimal DSO-driven Demand Response management, including novel applications of blockchain decentralized ledger for secure data handling, market-based microgrid control and near real time closed loop DR verification aimed to improve system observability and enable fair DR financial settlement. Novel flexibility market and services/products design, as well as cooperative DSO-aggregator business models enabled by incentive sharing will validate the eDREAM DR technical concept from the economic perspective. The eDREAM technologies will be extensively validated in a lab-based pilot (Greece), followed by two field pilots, a C&I VPP-based optimal aggregated flexibility management in UK and a mixed stationary and movable (EVs) loads flexibility microgrid-level optimized flexibility management in Italy.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/774478 |
| Start date: | 01-01-2018 |
| End date: | 30-06-2021 |
| Total budget - Public funding: | 3 822 125,00 Euro - 3 822 125,00 Euro |
Cordis data
Original description
Smart automated Demand Response (DR) represents a valid alternative to grid reinforement for electricity Distribution System Operators (DSOs) to procure in a cost-effective way the necessary flexibility for integrating larger shares of intermittent RESs, while not compromising security of supply and network reliability. However DR potential has been exploited so far to a very limited extent due to a number of technological, regulatory, economic barriers. To cope with these challenges, eDREAM will develop and make available a novel near real time DR scalable secure blockchain-driven technological and business framework aimed to optimize aggregated system services flexibility provisioning to DSOs. The project will research and develop tools and services for: i) optimal DR system design, which includes early detection of flexibility potential via multimodal fusion of aerial, LIDAR and thermal imaging, end users profiling and segmentation by leveraging on big data clustering and large data sets visual interactive exploration and DR optimization services for energy end users; ii) optimal DSO-driven Demand Response management, including novel applications of blockchain decentralized ledger for secure data handling, market-based microgrid control and near real time closed loop DR verification aimed to improve system observability and enable fair DR financial settlement. Novel flexibility market and services/products design, as well as cooperative DSO-aggregator business models enabled by incentive sharing will validate the eDREAM DR technical concept from the economic perspective. The eDREAM technologies will be extensively validated in a lab-based pilot (Greece), followed by two field pilots, a C&I VPP-based optimal aggregated flexibility management in UK and a mixed stationary and movable (EVs) loads flexibility microgrid-level optimized flexibility management in Italy.Status
CLOSEDCall topic
LCE-01-2016-2017Update Date
26-10-2022
Images
No images available.
Geographical location(s)
Search
