Given the current European objectives related to the challenge of buildings decarbonisation, an important role can be played by heat pump-based heating systems. The paper concerns the optimisation of the heating system control logic of a real case study through dynamic simulations with the goal to improve its overall energy efficiency. The work regards the optimisation of the heating system control strategy through an ad hoc TRNSYS 18 dynamic model. To improve the energy efficiency of the heating system –regulated with a constant heat pump set point– and to achieve better indoor thermal comfort, an optimisation process based on the employment of heating curves is performed. The outcomes are discussed from an energetic, economic, and environmental impact perspective. Three heat pump models are analysed and the results indicate that implementing a heating curve could boost monthly COPs up to 14% and improve SCOP up to 7%. One of the three heat pump models is selected for further analysis changing the weather files used in the simulations. It appears that the future climate may enhance heat pump efficiency due to higher outdoor temperatures. Additionally, using weather files from different areas within the same city, even for the same time period, can result in significantly different outcomes. The economic and environmental analysis, based on electricity consumption, highlights that optimisation with heating curves leads to reductions in costs and CO₂ emissions for the three heat pump models, with percentage decreases of 6.7%, 3.1%, and 2.1% respectively, reflecting varying levels of efficiency improvement.