Project description
Scalable demand-response platform enhances energy efficiency
The EU-funded DELTA project aims to develop a demand response (DR) management platform that introduces scalability and adaptiveness into toolkits aggregating energy data. The system will integrate multiple strategies and policies from energy market stakeholders, rendering it a modular and future-proof solution. The autonomous architecture will allow end users to avoid complex price/incentive-based signals, supporting active, aware and engaged prosumers. DELTA will provide full-scale market and grid services by delivering explicit and implicit DR elasticity services that surpass current market regulatory limitations. Multi-agent, self-learning energy matchmaking algorithms will increase system interoperability. Novel blockchain methods and smart contracts should also help enhance data security in future DR applications. The proposed concept will be tested in two pilots in Cyprus and the United Kingdom.
Objective
DELTA proposes a DR management platform that distributes parts of the Aggregator’s intelligence into lower layers of a novel architecture, based on VPP principles, in order to establish a more easily manageable & computationally efficient DR solution, ultimately aiming to introduce scalability & adaptiveness into the Aggregator’s DR toolkits; the DELTA engine will be able to adopt & integrate multiple strategies & policies provided from its energy market stakeholders, making it authentically modular & future-proof.
DELTA will also deliver a fully autonomous architectural design, enabling end-users to escape the hassle of responding to complex price/incentive-based signals, while facilitating active, aware & engaged prosumers, based on innovative award schemes, a social collaboration platform & enhanced DR visualisation. Provision of full-scale market & grid services will be made possible by delivering explicit & implicit-based DR elasticity services, while pushing current market regulatory limitations so that they can be surpassed, and satisfying potential grid constraints related to flexibility activation through Multi-Factor Forecasting and Deep Reinforcement Learning Profiling.
Furthermore, DELTA will propose & implement novel multi-agent based, self-learning energy matchmaking algorithms to enable aggregation, segmentation & coordination of several diverse supply & demand clusters, designed end-to-end using well-known, open protocols (i.e. OpenADR), for increasing interoperability. DELTA will set the milestone for data security in future DR applications by not only implementing novel block-chain methods & authentication mechanisms, but also by making use of Smart Contracts which would further secure & facilitate Aggregators-to-Prosumers transactions.
Two pilots in UK & Cyprus will realise the DELTA concept, covering a wide variety of residential/tertiary loads (>11GWh), RES generation (>14GWh) & energy storage systems (>9MWh) (average annual measurements).
Fields of science
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencescomputer securitycryptography
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
57001 Thermi Thessaloniki
Greece