Project description
A boost for hydro-power’s green potential
Hydro-power plants hold great promise as clean energy sources, but inefficiencies and environmental concerns have hindered their full potential. In this context, the EU-funded Di-Hydro project will develop tailored digital tools and intelligent algorithms to optimise operations, predict maintenance needs, and promote environmentally mindful power generation. This will be in line with the European Green Deal and the Paris Agreement; the project’s integrated approach takes into account various factors such as plant digitisation levels, weather conditions, biodiversity, environmental concerns, and societal considerations. Backed by a consortium of 13 partners from research organisations, small enterprises, and large power companies, Di-Hydro promises to unlock the true power of hydro-energy for a sustainable future.
Objective
Di-Hydro contributes towards harnessing the full potential of hydro-power (HP) plants and clusters in line with the objectives of the European Green Deal and the Paris Agreement, by development of tailored, optimized digital and smart decision-making tools for use in such plants, at scale. Indeed, Di-Hydro will develop smart devices and pro-active intelligent algorithms that utilize data acquired from static, dynamic, and alternative sources (e.g. satellites) so as to predict the operational and maintenance-related behavior of standalone HP plants and clusters, and we will then incorporate such algorithms in digital twins that can fully interrelate with such HP plants/clusters, yielding, eventually, an intelligent, fully-replicable decision-making tool for optimal coordination of environmentally mindful power generation from such plants/clusters (based on the foreseen market needs and the intended commercial strategy of their owners). Notably, a wide variety of previous plant digitization levels, weather and water flow conditions, biodiversity, environmental and societal issues pertinent to such HP clusters are incorporated in the integrated practical solution developed here, mainly by leveraging innovative sensor technologies, cutting-edge digital adaption for energy production, and optimized operation and maintenance practices based on next-gen information technology. The consortium is comprised of 13 partners, 3 of which are RTOs, 7 SMEs, and 3 large power enterprises (represented here by their hydro-power branches).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologycivil engineeringstructural engineeringstructural health monitoring
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energyhydroelectricity
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Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
57001 Thermi Thessaloniki
Greece