RENewAble Integration and SuStainAbility iN energy CommunitiEs (RENAISSANCE)
|Funding Organization:||European Commission|
|Start / End Dates:||01 May 2019 / 31 October 2022|
Leading smart grid solution providers and research groups join forces to integrate a range of consumer-focused innovations into existing service platforms. The project will support Industry leaders ABB (analytical and design tools) and ATOS (energy management platform) deliver services with clear market focus, that are widely replicable across Europe. The suite of tools will be demonstrated in real-life pilots in Belgium, Greece, France and the Netherlands. RENAISSANCE aims to demonstrate highly replicable design and management approaches for integrated local energy systems, that achieve high participation of local consumers (15-20%), exceed at local level EU targets for renewable energy sources (37-80%) while decreasing the energy price for community members (5-10% below current market prices). The methodology and each of the pilots will cover key energy vectors (electricity, heat, transport), involve different actors (households, SMEs, institutions), and valorises flexibility services within and between communities, and with DSOs. In total, over 1.000 households and 50 companies will be connected in a system that totals 30752MW capacity. Main innovations include; multi-actor multi-criteria of technical design, geolocations, interoperable management platform. To demonstrate replicability and open the role to market, the approach will be applied to 10 more locations across the globe - including in India, the US, the UK and Poland.
The Chemical Process and Energy Resources Institute (CPERI), participating in relevant EU smart-grid projects, as those of inteGRIDy and SMILE, has a considerable know-how relevant to the development of transient Modelers of energy systems when these are interconnected on a micro-grid level, up to the level of DSO. The aim of CPERI is to develop and apply such tools (WP2) to enhance the better dimensioning/topology design of multiple type of RES and storage solutions, towards the best fitting of production and consumption profiles for all three main energy vectors (heating/cooling/electricity). In addition, such type of models allow the characterization of the micro-grid in an operation level, at least virtually, especially for the case that it interacts with the macro-grid (WP6); thus contributing in the definition of practises and decision-making of its basic configuration.
Dr. Nikolaos Nikolopoulos (Senior Researcher)