Imagine giving an old dam a nervous system and a brain. This project installs high-tech sensors to feel cracks or water quality changes and uses a digital copy of the plant to predict when parts will break. It helps operators run the plant efficiently while keeping the local fish and water healthy.
Hydropower plants are struggling with aging infrastructure and a lack of real-time data, leading to inefficient maintenance and potential environmental compliance risks.
A suite of structural and environmental sensors, a Digital Twin for predictive maintenance, and a Decision Making Platform for market-optimized power generation.
If you are a plant operator dealing with aging infrastructure and unplanned downtime — this project developed predictive maintenance algorithms and structural health sensors that prevent failures and extend asset life.
If you are a monitoring firm dealing with manual water sampling and slow biodiversity reporting — this project developed real-time sensors for E coli, pH, and digital holographic microscopes that automate ecological tracking.
If you are a grid manager dealing with unpredictable hydro-power output in volatile markets — this project developed a Decision Making Platform with inflow forecasting and grid modeling to optimize power generation based on market needs.
Based on available project data, specific pricing for the tools is not mentioned; however, the project received an EU contribution of EUR 4,498,761 for development.
Yes, the project uses real-world use cases from PPC in Greece, A2A in Italy, and EPS in Serbia to validate the tools in actual hydropower environments.
Based on available project data, specific licensing terms are not provided, but the consortium includes 7 SMEs and 3 large power enterprises likely to share or license the results.
The system integrates via a robust data architecture designed to store and exchange historical, operational, and sensorial data from both new sensors and existing plant records.
The project period runs from 2023-10-01 to 2026-09-30, indicating that full deployment and final results are expected by September 2026.
The consortium is heavily weighted toward commercial application, with a 77% industry ratio. It consists of 13 partners, including 7 SMEs and 3 large power enterprises, ensuring that the developed sensors and digital twins are designed for immediate industrial utility rather than just academic research.
Contact ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS in Greece
Contact us to explore licensing opportunities for the Di-Hydro sensor suite.
