摘要
为降低西北地区居民使用太阳能复合供暖系统的经济成本和碳排放量,并提高太阳能利用率,设计一种太阳能-热泵双水箱复合供暖系统,并优化其重要参数。利用Dymola平台,搭建太阳能-热泵双水箱复合供暖系统模型,目标函数是系统全生命周期成本,选取太阳能集热器面积、集热器安装倾角、水箱容量和热泵功率作为优化变量,采用遗传算法同步优化系统所选变量,并对系统的环保性进行分析。以宁夏地区为案例进行优化计算,结果表明,所创建的数学模型准确性较好,比较模拟数据与实验数据,二者平均误差均在±8%以内。在系统15年寿命周期内,优化后系统性能系数提高10.3%,水箱平均温度提高至54.71℃,系统生命周期成本减少5.3%,节能率为24.4%,节能效果显著。系统的SO_(2)、CO_(2)、NOx及烟尘的减排量分别为0.82、26.6、0.41、7.48t,该系统可以显著降低环境影响,与传统燃煤锅炉相比减排效果显著。
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 oC,the energy saving rate was 24.4%,which was significant.The emission reduction of SO_(2),CO_(2),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.
作者
魏娟
张雪晶
陈廷敏
刘永
王新岭
WEI Juan;ZHANG Xuejing;CHEN Tingmin;LIU Yong;WANG Xinling(School of Mechanical Engineering,Xi'an University of Science and Technology,Xi'an 710054,China;Ningxia Zhonghao Yinchen energy Technology Service Co.Ltd.,Shizuishan 753400,Ningxia,China)
出处
《新能源进展》
CSCD
北大核心
2024年第3期343-352,共10页
Advances in New and Renewable Energy
