Optimization And Application Of Solar Energy Combined Heat Pump Lycium Barbarum Drying System In Severe Cold Area

The low temperature environment in the north of China leads to the problems of poor parameter matching and low economy of the drying system and high energy consumption of the traditional industry.It is urgent to find an effective drying method.As a kind of renewable energy with abundant resources,solar energy can make up for the stability of drying and heating performance by matching with air source heat pump which can supply heat all the year round.Therefore,this paper combines the characteristics of solar energy storage and air source heat pump,and puts forward a new type of complementary energy drying system,which is suitable for the northern cold area.Air source heat pump is used as the auxiliary heat source of the drying system.Based on the weather data in the drying period of Bayannur City,this paper uses TRNSYS software to build the simulation model of the drying system,and proposes three operation modes,and analyzes the influence of the main factors of the drying system on the performance of copsvs,solar energy guarantee rate,heat storage performance and efficiency of the drying system.At the same time,according to the characteristics of the low ambient temperature in the drying cycle,the optimization of the operation strategy is proposed by adjusting the opening temperature of the heat storage system,the preheating flow rate of the collector and the preheating duration of the heat storage system.The results show that: in the nonlinear model predicted by the generalized linear regression method and the orthogonal experimental method,the collector area,the heat pump volume,the collector tilt angle and the heat storage volume are related to copsvs in the first,second,third and second equations respectively,and the correlation coefficient of the influence degree is the size of the coefficient.The maximum value of single objective copsvs is 8.4528,and the best matching parameters of drying system are determined by multi-objective optimization method.In the analysis of energy utilization,the loss from primary energy utilization to energy input stage accounts for more than 85% of the total loss of the system,while the energy consumption of the drying system mainly occurs in the utilization of primary energy and the temperature regulating system in front of the drying chamber.In the study of the operation strategy of the system,the optimal matching range of the opening temperature of the heat storage is 55-75℃when the ambient temperature is in the range of 10-30 ℃,and the flow rate of the pre heating stage of the collector is adjusted to 1000m3 / h.When the ambient temperature is lower than15 ℃,the time of opening the pre heating of the heat storage is adjusted,while the temperature meets the drying requirements,the energy consumption of the drying system is reduced and the system’s energy consumption is increased heating performance.Through the study of the drying system in severe cold areas,the problem of system performance parameter prediction is solved.At the same time,the optimal parameter matching of the drying system is solved according to multi-objective optimization analysis.Finally,through the adjustment of the operational strategy of the drying system,the stability of the system is improved,the energy consumption of the system is reduced,and the economy of the system is improved.