太阳能热泵联合风电蓄热供暖系统优化研究

设计一种太阳能热泵联合风电蓄热系统,并建立系统动态模型。为获得最大太阳辐照量和最小生命周期成本,使用4种不同优化算法对集热器倾角（CTA）、集热器方位角（CAA）、集热器面积（CA）、水箱容积（TV1、TV2）、热泵功率（HP1、HP2）和电锅炉功率（BP）等关键参数进行优化。以乌鲁木齐某单位行政楼的供暖系统为对象进行算例分析。结果表明:Hooke-Jeeves方法优化效果最佳,CTA为(φ-6°)（φ为当地纬度）、CAA为(α-2.5°)（α=0°为正南朝向）时,可使系统获得最大采暖季辐照量;TV2/BP为69.8 L/kW,TV1/CA为86.4 L/m²,（HP1+HP2）/CA为125.6 W/m²,系统生命周期成本最低,相比优化前,参数优化后的系统生命周期成本节省11.8%。

OPTIMIZATION ON SOLAR HEAT PUMP COMBINED WITH WIND POWER THERMAL STORAGE HEATING SYSTEM

A solar heat pump combined with a wind power thermal storage system is designed, and a dynamic model of the system is established. To obtain the maximum solar radiation and minimum life cycle cost, four different algorithms are used to simultaneously optimize the key parameters which include collector azimuth angle （CAA）, collector area （CA）, tank volume （TV1、TV2）, heat pump power （HP1、HP2） and electric boilers power （BP）. This research takes a heating system of an administrative building in Urumqi as an object and gives a calculation example. The results show that the Hooke-Jeeves method is optimal. The system obtains the maximum heating season radiation when CTA isφ-6°（φ is local latitude） and CAA isα-2.5°（α=0° means due south）. The system obtains the minimum life cycle cost when TV₂/BP is 69.8 L/kW, TV₁ /CA is 86.4 L/m², and （HP₁+HP₂）/CA is 125.6 W/m². Compared with the initial system, the life cycle cost of the optimized system can be saved up to 11.8%.