H2020-LCE-2016-2017
enabling new Demand REsponse Advanced, Market oriented, Secure technologies, Solutions & Business models
Project Details →The European Commission strategic framework seeks for an improved and modernized European energy market, targeting to achieve secure, sustainable, affordable and decentralized energy networks.
There are very few examples of the successful deployment of Demand Side Response technologies that consider Virtual Power Plants as well as decentralized approaches towards achieving a reduction in peak grid demand and real savings for final consumers.
eDREAM aims to research, validate and bring into pre-commercialization phase a near-real time closed-loop Demand Response framework, fully autonomous, secure (through an enhanced blockchain ecosystem) and based on decentralized decision making functional model.
Boot the flexibility of energy users and the smartness of the grid, enabling a smooth integration of renewables, generating 10% emission savings demonstrated and 25% cost saving and energy reduction for customers.
eDREAM vision is for a novel near real time Closed Loop optimal blockchain based Demand Response ecosystem, where Distribution System Operators (DSO) and aggregators cooperate within a novel yet appropriate market framework, with a view to exploit to the largest possible extent the flexibility potential of a large variety of heterogeneous third party stationary and movable load assets, while keeping system reliability within prescribed limits and preserving continuity and security of supply.
Near real-time, closed-loop, optimal and fully autonomous Demand Response system with enhanced security.
eDREAM brings together a consortium of leading research institutions, universities, and industry partners from across Europe, united by a shared goal of transforming Demand Response technologies.
Research Partners
Industry Leaders
DSO Partners
Aggregators
SME Partners
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 774478.
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