基于聚光光伏光热的太阳能供暖系统性能优化

Performance optimization of solar heating system based on concentrated photovoltaic solar thermal

以北京市某办公建筑为供暖对象,提出由聚光光伏光热单元、光伏单元以及空气源热泵(CPVT-PV-ASHP)耦合的清洁供暖系统。基于Trnsys和Grasshopper平台搭建系统的动态仿真模型和优化模型,以CPVT光伏电池板面积为决策变量,采用超体积计算法(HypE)求解,探究系统在节能性、经济性和改善热泵性能方面的平衡。结果显示,在空冷型CPVT和水冷型CPVT中光伏电池板面积分别为10.9 m^(2)和2.3 m^(2)时取得最优解。此时系统的一次能源消耗量为-1 016.1千克标准煤,热泵平均能效比(COP)为3.72,投资回报周期为2.95年。与其他系统相比,CPVT-PV-ASHP系统在节约能耗、改善热泵性能等方面优势显著。

Taking an office building in Beijing as the heating object,a clean heating system coupled by a concentrating photovoltaic solar thermal unit,a photovoltaic unit and an air source heat pump(CPVT-PV-ASHP)is proposed.Based on the Trnsys and Grasshopper platforms,the dynamic simulation model and optimization model of the system were constructed,and the area of CPVT photovoltaic panels was used as the decision variable,and the over-volume calculation method(HypE)was used to solve the problem to explore the balance between energy saving,economy and improved heat pump performance.The results show that the optimal solution is obtained when the area of photovoltaic panels in cold CPVT and water-cooled CPVT is 10.9 m^(2) and 2.3 m^(2),respectively.At this time,the primary energy consumption of the system is-1016.1 kg of standard coal,the average COP of the heat pump is 3.72,and the payback period is 2.95 years.Compared with other systems,the CPVT-PV-ASHP system has significant advantages in saving energy consumption and improving the performance of heat pumps.