If you are a plant operator dealing with high maintenance costs and unpredictable downtime — this project developed an intelligent Asset Management Platform that reduces O&M costs by 5-10%.
AI-Driven Asset Management Platform to Reduce Hydropower Operating Costs and Increase Revenue
Imagine giving an old hydropower plant a digital brain. Instead of fixing parts when they break, the system predicts failures before they happen and optimizes water flow based on weather forecasts. It's like upgrading an old car with a modern computer that tells you exactly when to change the oil and how to drive for maximum fuel efficiency.
What needed solving
Existing hydropower plants are often outdated and lack the digital tools needed to optimize production and maintenance. This leads to higher operating costs and reduced flexibility in supporting intermittent wind and solar energy on the grid.
What was built
An intelligent Asset Management Platform (iAMP) featuring predictive maintenance models, ecological monitoring tools, and improved weather/flow forecasting.
Who needs this
Who can put this to work
If you are a grid operator dealing with the instability of wind and solar power — this project developed digital solutions to increase grid flexibility and increase renewable penetration by 8.4 TWh.
If you are a water agency dealing with biodiversity loss and strict flow regulations — this project developed ecological status monitoring and water management tools to enable sustainable flow regulation.
Quick answers
How much can this reduce operating costs?
The project aims to reduce O&M costs by 5-10% and potentially reduce overall operating costs by €1 billion per annum across the fleet.
At what scale is this technology being tested?
The solutions are being validated at five real-world existing hydropower plants with varying capacities, equipment types, and climatic conditions.
What is the IP or licensing model for the platform?
Based on available project data, the project focuses on developing secure open and transparent data sharing protocols, but specific licensing terms are not provided.
How does this impact the environment?
The project targets a reduction of CO2 emissions by 1260 tonnes and improves biodiversity through digital flow regulation.
When will the results be available?
The project period runs from 2023-10-01 to 2026-09-30, indicating the final results will be ready by late 2026.
Who built it
The consortium is heavily industry-weighted with 7 industrial partners (58% ratio), including 3 SMEs, which suggests a strong focus on commercial viability. With 12 partners across 7 European countries, the project leverages a mix of academic research (3 universities, 2 research centers) and practical industrial application to ensure the tools are fit for real-world plant operations.
Contact the College of the Holy & Undivided Trinity of Queen Elizabeth near Dublin
Talk to the team behind this work.
Contact us to connect with the iAMP-Hydro consortium for pilot integration.