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).
The overall aim of the Triple-A project - Enhancing at an Early Stage the Investment Value Chain of Energy Efficiency Projects - is to assist financial institutions and project developers increase their deployment of capital in energy efficiency, making investments more transparent, predictable and attractive.
The main aim of PowerPoor is to support programmes/schemes for energy poor citizens and encourage the use of alternative financing schemes (e.g. establishing energy communities/cooperatives, crowd funding). PowerPoor will facilitate experience and knowledge sharing, as well as the implementation of small-scale energy efficiency interventions and the installation of renewable energy sources, increasing the active participation of citizens. Pilot energy poor support programmes/schemes will be designed, developed, and implemented in eight countries across Europe led by a network of certified Energy Supporters and Energy Communities Mentors with the support of Stakeholder Liaison Groups.
SocialWatt aims to enable obligated parties under Article 7 of the Energy Efficiency Directive across Europe to develop, adopt, test and spread innovative schemes to alleviate energy poverty. The appropriate tools developed within the framework of SocialWatt aim to help utilities and energy suppliers effectively identify energy poor households, as well as develop and monitor schemes that focus on increasing the energy efficiency of these houses.
The aim of EEnvest is the creation of a tool (a web-based search and match platform) which investors can use to evaluate the risk of investment in energy efficiency for buildings. The web-based search platform will match the demand and offer of buildings to be retrofitted with funding available from external financiers. The EEnvest platform will provide reliable information on the risk associated with energy renovation measures, combining proprietary risk evaluation models with the specific features of the property evaluated. The platform will use a blockchain-based data exchange validation system in order to guarantee the security and quality of the information.