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Home - Energy Storage - Fraunhofer ISE, EDF develops AI-based heat pump controller – SPE
Energy Storage

Fraunhofer ISE, EDF develops AI-based heat pump controller – SPE

solarenergyBy solarenergyDecember 18, 2024No Comments3 Mins Read
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The Fraunhofer Institute for Solar Energy Systems (Fraunhofer ISE) and EDF lead an international consortium developing AI-powered heat pumps that adapt to environmental conditions and learn from changing conditions.

December 18, 2024
Emiliano Bellini

Self-learning heat pump control with AI system model

Image: Fraunhofer ISE

Germany’s Fraunhofer ISE leads an international consortium developing AI-powered heat pumps designed to avoid incorrect settings and adapt to environmental conditions.

The consortium consists of the French energy giant EDF, the German heating manufacturer Stiebel Elton and the French research institutes CEA List and LPNC.

The AI-powered heat pumps will have a smart controller that can monitor changes in room temperature. Using an artificial neural network, the system analyzes the thermal behavior of a building and calibrates the heat pump’s supply temperature accordingly.

“In this project, the specific behavioral patterns of buildings, for example how they change with varying solar radiation, are learned by artificial intelligence (AI) that continuously analyzes recorded measured values,” Fraunhofer ISE said in a statement. “Only reliable methods that guarantee safe operation will be accepted by heat pump manufacturers and their customers.”

The research team ran a series of simulations on the AI-based heat pump controller in three different buildings during one heating season.

“The questions about self-calibration and adaptability to new environmental conditions were both answered positively,” the scientists said. “Depending on the building, the resulting energy savings were on average 13% compared to the standard heating curve.”

Matching the reference room temperature with the desired temperature was crucial for the performance of the controller. “Further energy savings can be expected if the controller is extended with the efficiency properties of the heat pump,” the researchers said.

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They also tested the controller in a real building for a week and found that it “significantly” improved the heat pump’s coefficient of performance (COP).

“Compared to the reference period, the AI ​​controller recorded a 25% COP increase, although this needs to be evaluated in more detail during longer field test series and across different building types,” they said. “It is remarkable that the algorithm led to the determination of stable heating curve parameters after just a few days.”

EDF tested the efficiency of the controller for domestic hot water (DHT) production and found that the heat pump reduced energy consumption by up to 8%.

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