Application of FAHP in Multi-Objective Optimization of Solar–Electromagnetic Energy Heating System Performance

In this study, we applied the fuzzy analytic hierarchy process (FAHP) to the multi-objective optimization of the performance of a solar-electromagnetic energy heating system (SEHS). Optimizing the performance of SEHS as a sustainable heating solution in rural areas is crucial for improving energy efficiency and reducing environmental impacts. To achieve the optimal balance between economy, system performance, energy efficiency, and comfort, we developed a FAHP-based optimization model using system simulation data from the experimentally validated TRNSYS model. The results show that the optimal decision scheme improved the overall performance by 38% compared to the original design scheme. This work confirms the effectiveness of FAHP in dealing with uncertainty and multi-objective decision-making in SEHS and provides valuable scientific support for engineering practice.