New algorithm enables cost-optimized operation of residential heat pumps

Researchers from Austria’s University of Natural Resources and Life Sciences Vienna have developed an enhanced model predictive control (MPC) algorithm for the grid-friendly operation of heat pumps. The algorithm considers day-ahead electricity prices and aims to optimize thermal comfort while reducing energy costs. The study focused on the interaction of well-insulated buildings with thermal mass and heat pumps, emphasizing the importance of intelligent control systems and decentralized renewable electricity sources. The research demonstrated that the enhanced MPC algorithm effectively supports grid-friendly operation of heat pumps by considering price signals based on real electricity market prices.

Source:

https://www.pv-magazine.com/2024/09/09/new-predictive-control-algorithm-enables-cost-optimized-operation-of-residential-heat-pumps/

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