Parameters Optimization Design of Double-Tanks Solar-Energy Heat Pump Composite Heating System Based on Dymola
In order to reduce the economic cost and carbon emissions of the solar composite heating system for residents in northwest China,and improve the utilization rate of solar energy,a composite heating system of double tanks solar-energy heat pump was designed and its important parameters were optimized.Based on the Dymola platform,a complete dual tanks solar-energy heat pump composite heating system model was established.The objective function was the entire life cycle of the system,and the solar collector area,collector installation angle,water tank capacity and heat pump power were selected as the optimization variables,and the genetic algorithm was used to synchronously optimize the selected variables of the system.Besides,the environmental friendliness of the system was analyzed.In this paper,the optimization calculation was carried out in the Ningxia region.The research results indicated that the mathematical model created was highly accurate,and the average error between the two was about±8%compared to simulation data and experimental data.During the 15-year life cycle of the system,the life cycle cost of the system decreased by 5.3%,the coefficient of performance of the optimized system increased by 10.3%,the average temperature of the water tank raised to 54.71 ℃,the energy saving rate was 24.4%,which was significant.The emission reduction of SO2,CO2,NOx,and soot of the system were 0.82,26.6,0.41 and 7.48 t respectively,with significant emission reduction effect compared with the traditional coal-fired boiler.
solar energyheat pump systemDymolagenetic algorithm
NETL
NSTL
万方数据
