REScoopVPP: Smart Building Ecosystem for Energy Communities
By 2050, 98 million Europeans could become prosumers by joining an energy community (EnC). The REScoopVPP project combines front-runner EnC to create the most advanced community-driven smart building ecosystem for EnC. The ecosystem consists of a Community-driven Flexibility Box (COFY-Box) acting as smart home controller, and a set of community tools to support energy services for aggregators, ESCO’s, BRP’s and suppliers of RES.
The COFY-box will be the first truly open and collaborative building controller, based on existing open source home automation technology with more than 1.400 integrations. The COFY-box will be affordable and easy to install. Community tools will enable EnC to become real-time asset operators by employing demand and production forecasting algorithms, a dynamic pricing module for implicit DR and an OpenADR-based explicit DR solution.
REScoopVPP solutions will undergo a large-scale experimentation in Belgium, France, Germany, Spain and the UK. The project will improve EV, PV and electric battery control, and will especially focus on the intelligent integration of thermal storage and hybrid heating solutions, capable of shifting fossil fuel consumption from legacy DHW and heating equipment to flexible renewable heat. Further attention will be given to smart plug control and the integration of equipment based on emerging EU-standards. This will improve comfort, while not adversely affecting original functionalities, quality and lifetime of the equipment.
The ecosystem of REScoopVPP has the potential to impact 375.000 customers 5 years after the project and thus trigger primary energy savings of 559 GWh/year and improve the SRI of houses by 2 steps on average. To make sure that the ecosystem is viable, REScoopVPP will establish a dedicated legal entity that can bring solutions to the market and provide citizens with a European, community-driven alternative.
EU research project
June 2020 - May 2023
Budget € 4.523.437,50
SNAP! SOLUTIONS, LDA.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement Nº 893240.