Project

AI4Pumps

AI-based speed control for pump systems that predicts efficient operating points from sensor and pulsation data.

AI4Pumps

Facts

Duration: 01.07.2024 - 30.06.2026

Funder: Federal Ministry for Economic Affairs and Climate Action (BMWK)

Funding volume: 182,000 EUR for the University of Rostock

Project partner: Hydronauten GmbH

AI4Pumps

Intelligent AI-supported speed control of centrifugal pumps through active pulsation damping

Pumps account for a significant share of industrial electricity consumption, but they are often operated inefficiently. The goal of the project is to develop a novel AI-based speed control system that keeps pump systems closer to their energetic best point.

The project builds on QuietHydro technology developed by Hydronauten GmbH. QuietHydro uses active noise cancellation to prevent the propagation, reflection, and transmission of pressure waves in the system, and makes it possible to distinguish pressure pulsations coming from the pump from those coming from the pipeline system.

The project develops an AI system that predicts the pump’s energetic best point from data captured by QuietHydro. A hardware platform for connecting sensors and control components is also being developed. The project aims to increase the energy efficiency of pumps and contribute to the energy transition and climate protection. The results are intended to feed into a market-ready monitoring platform for pump systems.

Contact

Daniel Wulff

d.wulff@uni-rostock.de