太阳能-热泵复合热水系统日前优化调度策略研究OA

To address the challenges of low energy efficiency and insufficient solar energy utilization in solar-assisted heat pump integrated water heating systems,this study proposes a day-ahead Optimal Dispatching strategy.A physics-based model was developed to predict water tank temperature dynamics,validated using real-world operational data.By discretizing the system model,a nonlinear mixed-integer programming problem was formulated with dual objectives of minimizing water tank temperature tracking error and heat pump energy consumption,from which an optimized heat pump on-off control strategy was derived.The impact of weight coefficients on scheduling outcomes was analyzed to determine appropriate weights for prioritizing either temperature stability or energy efficiency.Comparative studies under typical weather conditions reveal that,compared to conventional rule-based control,the proposed strategy achieves stable water tank temperatures within 47～49℃under moderate solar irradiance while increasing solar thermal contribution by 13.96%.Under low irradiance conditions,the total system energy consumption is reduced by up to 37.87%.The day-ahead optimization framework significantly enhances the system's energy efficiency ratio(COP),particularly under solar-deficient scenarios,demonstrating its capability to maximize solar energy utilization while balancing operational performance and energy savings.