Advanced control of multi-source heat pump systems: Synergizing Taguchi experimental design with entropy weight method for multi-criteria coordination

Against the backdrop of global building decarbonization, multi-source heat pump systems face technical challenges in multi-objective optimization, including subjective weight assignments in evaluation frameworks and high experimental validation costs. This study innovatively integrates the Taguchi method and entropy weight method to propose a novel Taguchi-entropy weight collaborative methodology, addressing the complexity of dynamic energy coupling in multi-source heat pump operations. The entropy weight method is leveraged. A dynamic Comprehensive Evaluation Index (CEI) is established. This index quantifies the energy, economic, and environmental benefits of heterogeneous heat sources (solar, sewage-source, and gas boiler), overcoming limitations of traditional methods in handling multi-source dynamic switching, multi-objective conflicts, and time-varying weight allocation. The Taguchi orthogonal experimental design reduces experimental costs while revealing the core mechanism of heat source switching delay (93% contribution to CEI). The optimal parameter combination achieves a 6.73% CEI improvement, forming a transferable control strategy paradigm for multi-source energy systems. This method provides a reusable optimization model to advance building decarbonization by systematically balancing technical feasibility, economic efficiency, and environmental sustainability.