The EU-funded DECODIT project aims to develop digital tools to support citizens in making informed decisions for a sustainable energy future. Specifically, DECODIT will offer personalised options through data-driven services. Natural language interfaces ensure accessibility, while innovative financing models lower barriers for investment. Pilots across diverse European countries will demonstrate DECODIT’s effectiveness, shaping smart energy landscapes and fostering collaboration among market actors.

EU-DREAM project designs and implements innovative digital technologies to assist citizens in exploring all the digitalisation possibilities. It will help both non-experienced and experienced citizens to increase control over energy use, providing them with an active role in the just energy transition, and supporting easy access to energy and flexibility markets.

STORE2HYDRO aims to retrofit reversible pump turbine technology into existing hydropower facilities to increase Europe’s electricity storage capacity by 22TWh/year. It involves developing innovative mechanical solutions for large-scale pumped storage, mapping untapped hydropower sources, implementing digital twin technologies, and conducting life cycle and cost assessments. The project will enhance the flexibility and efficiency of hydropower plants, supporting the European Green Deal goals.

NEXTBMS will develop next-generation physics and data-based Battery Management Systems for optimised battery utilisation. The core objective of NEXTBMS is to achieve a best-in-class advanced BMS hard- and software solution concerning technical performance, adaptiveness, and cost, for first-life perspective as well as end-of-life (second-life) management. 

ODEON project aims to develop a reliable, scalable, and accessible federated technological framework, including the ODEON Cloud-Edge Data and Intelligence Service Platform and Federated Energy Data Spaces. By facilitating the delivery of innovative, data-driven energy services, ODEON supports the objectives of the DoEAP. The project will be validated through large-scale demonstrations ensuring successful replication and market uptake.

WILLOW integrated system will provide an open-source, data-driven smart curtailment solution to the Wind Farm Operators with the basis of an integrated Wind Farm Control system looking for a trade-off between the power production and the lifetime consumption. With this aim WILLOW pretends to design a novel Structural Health Monitoring System able to provide high quality data to perform a reliable fleet life assessment using physical models and AI methods which will be used for decision-making and maintenance scheduling.

The WeForming project aims to revolutionise energy management in buildings by focusing on intelligent grid-interactive efficient buildings (iGEBs). It will develop innovative solutions to harmonise energy processes, enabling seamless integration into broader energy networks and markets. Key objectives include digitalising building operations, optimising energy processing, and ensuring buildings can adapt intelligently in multi-energy environments. Measurable impacts include enhanced building efficiency, reduced energy consumption, optimised grid interaction, and accelerated adoption of iGEBs in smart cities, contributing to sustainable urban living.

The TwinEU project aims to develop new technologies and establish the necessary conditions for interoperability. It aims to create a European data exchange core supported by interfaces to the energy data space currently in development. Leveraging advanced modelling and AI tools, the project seeks to deliver a digital replica of the energy infrastructure that can be tested and activated. Moreover, it will enable new technologies to foster an advanced concept of DT while determining the conditions for interoperability, data and model exchanges through standard interfaces and open APIs to external actors. 

The project aims to enhance wind farm control using digital innovations to achieve stable, secure, and cost-effective energy production. Key objectives include developing advanced control systems to optimize energy output, reduce maintenance costs, extend turbine lifespan, and enhance cybersecurity. Measurable outcomes include improved farm performance, reduced operational costs, and increased reliability of wind energy systems. This project contributes to advancing renewable energy technologies for sustainable energy production.

The mission of the SUstainable resilient Data-enabled Offshore wind farm and control CO-design (SUDOCO) project is to develop an open-source physics-informed data-enabled wind farm control platform which has its foundations in existing and new experimental datasets. This novel software platform will integrate: 1) multiple wind farm flow control techniques and structural health monitoring, 2) value functions able to account for both time-varying inflow and market conditions, 3) farm-wide system optimization, 4) a high level of (cyber)security.