AI4Hydro: Enterprise AI platform to extent the remaining useful life of hydro power turbines
AI4Hydro, led by AvailabilityPlus GmbH in Germany and with the mission to extend the remaining useful life of hydro-turbines, it will deal with challenges in three areas of experimentation: AI applications in energy, Analytical applications in energy and Predictive maintenance.
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Who will help implement the AI solution?
LexaTexer provides an Enterprise AI platform to support the energy value chain with prebuilt, configurable AI applications addressing CAPEX intense hydro assets like Francis turbines and pumps.
What is the AI solution the project plans to implement?
Hydro power operators face a number of challenges due to the introduction of stochastic energy providers like wind and solar. They are switching from baseload to more flexible power production, which introduces stochastic usage pattern. At the same time availability and efficiency must be improved. Static wear models don’t suffice any longer, intelligent AI driven condition monitoring and diagnostics promise remedy.
In this project we propose to combine our AI platform and data from real world operations to model the remaining useful life (RUL) of Pelton turbines based on real-world operational and environmental
data. Thus, increasing RUL, efficiency and availability significantly. We propose to build hybrid AI models, including operational knowledge into the models.
