The BEYOND project will develop a Big Data management platform with an advanced artificial intelligence (AI) analytics toolkit, which will allow for the acquisition of derivative data and intelligence, in addition to real-life building data and relevant data from external sources. Access to this type of advanced data analytics can allow building and market actors to integrate and improve their value chain.
BD4NRG envisions to confront big data management challenges for the energy sector, giving a competitive edge to the European stakeholders to improve decision making and at the same time to open new market opportunities.
The BIGG project will analyse the complete building life-cycle using big data technologies and data analytic techniques. More than 4000 buildings at 6 pilot sites in Spain and Greece will be analysed during the project. Ultimately, BIGG aims to increase the share of renewable energy sources (RES) in buildings by providing an estimate of the expected energy savings that will result from renovations.
The BuiltHub project will develop a resilient data exchange platform that, ultimately, aims to provide stakeholders with the knowledge needed to make more sustainable building and renovation policies, programmes and financing schemes. In doing so, it will establish a community of data users capable of changing the way knowledge on the EU building stock is developed and shared.
The EXCESS project showcases how nearly-zero energy buildings can be transformed into positive energy buildings (PEB). Via four demo buildings spanning across four European Climate Zones (Nordic, Continental, Oceanic and Mediterranean), EXCESS seeks to test, validate and share PEB solutions with potential replicability across Europe. The four innovative demonstration projects are located in Belgium, Spain, Austria and Finland, and are introducing technical solutions that enable buildings to produce more renewable energy than they consume over the course of a year.
I-NERGY aims at evolving, scaling up and demonstrating innovative AI-as-a-Service (AIaaS) Energy Analytics Applications and digital twins services that will be validated along 9 pilots, which will span over the full energy value chain, ranging from optimised management of grid and non-grid RES assets, improved efficiency and reliability of electricity networks operation, optimal risk assessment for energy efficiency investments planning, optimising local and virtual energy communities involvement in flexibility and green energy marketplaces. It will also delivers other energy and non-energy services to realise synergies among energy commodities (district heating, buildings) and with nonenergy sectors (i.e., e-mobility, personal safety/security, AAL), and with non- or low-technical domains end users (i.e., elderly people).