The AIRE project is an ambitious initiative aimed at enhancing wind energy efficiency by understanding the atmospheric impacts on wind turbines. It focuses on studying wind flows at different altitudes and under various weather conditions, including wind, precipitation, and haze. 


DigiWind will deliver interdisciplinary Specialised Education Programmes to future-proof the careers of Science, Technology, Engineering, and Math professionals in wind and energy systems through advanced digital skills in key capacity areas of High-Performance Computing, Artificial Intelligence, Cybersecurity, and other emerging technologies


EXIGENCE is conceiving a system and defining metrics, and interdomain data exposure means to assess end-to-end ICT service delivery. The insights from this work will be formulated as pivotal sustainability requirements and brought into standardisation bodies (3GPP and ETSI) to shape the emerging next-generation mobile system (6G).


HEDGE-IoT proposes a novel Digital Framework to deploy IoT assets at different levels of the energy system to add intelligence to the edge and cloud layers through advanced AI/ML tools and to bridge the cloud/edge continuum introducing federated applications governed by advanced computational orchestration solutions. 


The ICONIC consortium aims to develop innovative digital and physical tools to achieve fundamental breakthroughs for the integrated control of wind farms, considering the whole physical system at farm, turbine, and component levels, in particular the complex aerodynamic interactions among turbines. The proposed integrated control solutions will be demonstrated by an extensive validation study via high-fidelity simulation models, experiments at a national-level wind tunnel, historical operational data, and real-world wind farm field tests.


INFERNO aims to develop a system to turn industrial waste heat into electricity. This system will use three advanced technologies: thermophotovoltaics (TPV),  metasurface collector (a heat-capturing surface), and thermoelectrics generators (TEG). With an innovative design strategy, these components will be integrated to develop a modular hybrid energy harvesting system that can be easily integrated into the production lines for converting industrial waste heat into usable electricity. The project’s ultimate goal is to create an efficient and easy-to-install system that helps reduce greenhouse gas emissions. 


i-STENTORE explores the integration of various storage solutions, emphasising innovation and efficiency. It will highlight the synergy between storage systems and other integrated assets, prioritising reliability, power quality, cost-efficiency, and asset lifespan. 


SNUG aspires to contribute to a world where buildings seamlessly integrate with the environment by reshaping the construction industry and fostering the transition to Zero-Energy Buildings. Using circular economy principles and artificial intelligence, the project will support architects and builders in selecting optimal thermal insulation materials according to building features and surroundings. 


SUDOCO is a pioneering project funded by the EU and dedicated to revolutionizing the wind energy industry through the development of an open-source, data-driven “Control Room of the Future.” This innovative platform aims to achieve the optimal equilibrium between maximizing energy output and mitigating structural stress in wind farms, while enhancing overall wind farm performance, measured through a time-varying value function. By leveraging physics-based machine learning techniques, continuously refined with extensive experimental data and deep insights into underlying physics, SUDOCO ensures robust and cyber-secure solutions.


WeForming redefines energy management by turning buildings from passive consumers into active participants in shaping future energy networks while considering the business aspect.  Our innovative approach centres on Intelligent Grid-Forming Buildings equipped with cutting-edge technologies for smart management, predictability, and energy efficiency. 


WILLOW, “Wholistic and Integrated Digital Tools for Extended Lifetime and Profitability of Offshore Wind Farms”, aims to achieve an integrated system that will provide a health aware curtailment strategy to the offshore wind farm operators. Physical models and data-driven models (AI/ML) will be used to assist decision-making and planning of wind turbine operation and maintenance (O&M) activities considering factors such as component degradation, the particular complexity of grid integration, or specific offshore issues like corrosion or the additional loads from waves, tides and currents.