Physics-Based Thermal Optimisation for Residential Heat Pumps: Fleet Simulation, Weather Compensation Analysis, and the Shoulder Mode Discovery
Key Points
The study aims to optimize heat pump performance through simulation and weather compensation analysis.
Simulated heat pump operations across various weather conditions.
Analyzed the impact of weather compensation on efficiency.
Used reinforcement learning techniques for system identification.
Investigated building thermal modeling approaches.
Identified optimal weather compensation settings for heat pumps.
Demonstrated significant improvements in the coefficient of performance.
Revealed benefits of shoulder mode during transitional seasons.
Abstract
heat pump optimisation, weather compensation, coefficient of performance, building thermal modelling, system identification, reinforcement learning, residential HVAC, UK housing