Di-Hydro Project - Digital optimisation for hydropower plants
Services For Renewable Energy
Brussels, Be
31 employees
- Employees
- 31
Di-Hydro Project - Digital optimisation for hydropower plants Overview
- Headquarters
- Brussels, Be
- Industry
- Services For Renewable Energy
- Employees
- 31
- Founded
- 2023
- NAICS
-
Professional Services
Keywords
About Di-Hydro Project - Digital optimisation for hydropower plants
Di-Hydro is a EU-funded project committed to advancing the potential of hydropower plants and clusters in alignment with the ambitious goals of the EU Green Deal and the Paris Agreement. The mission is to revolutionise the way hydropower plants operate, making them smarter, more efficient, and environmentally conscious. Our vision is to empower sustainable energy production by developing practical solutions based on combining innovative sensor technologies, optimized operations & maintenance practices based on cutting-edge information technology, while taking account weather and water flow conditions, biodiversity, environmental and societal issues. Our innovative concept involves introducing a Decision-Making Platform and Digital Twin technology to the hydropower sector. Our primary goal is to address the digital divide among hydropower plants and clusters while enhancing their operational performance and environmental sustainability. The Di-Hydro technologies will be tested in the field in 5 hydropower plants across 3 different EU countries (Greece, Italy, Serbia). Digital Twin for Clusters: Di-Hydro will create a Digital Twin platform for use case hydropower plants, as well as forming a cluster for collaborative energy production, O&M. Advanced Technology: Our approach utilises federated architecture, decentralised storage, AI technologies, and Reinforcement Learning for resilience and robustness. Sensors technologies: Di-Hydro will develop and use novel sensors rigs for monitoring parameters such: - structural health/ condition of infrastructure - environmental/biodiversity - water quality & flow Digital modelling & data Integration: We analyse historical data, implement novel sensors, and integrate AI-based environmental, biodiversity, meteorological, water flow and that will offer real-time data or be used for forecasting and decision making purposes. Competitiveness: Our solution reduces maintenance costs, increasing competitiveness and sustainability
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