Dynamic character investigation and optimization of a novel air-source heat pump system
Dynamic character investigation and optimization of a novel air-source heat pump system
复制标题
新型空气源热泵系统动态特性研究与优化
DOI：
10.1016/j.applthermaleng.2016.09.076
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发表时间：
2017
影响因子：
6.4
通讯作者：
Song Mengjie
中科院分区：
文献类型：
--
作者：
Wang Zhihua;Wang Fenghao;Wang Xinke;Ma Zhenjun;Wu Xiaozhou;Song Mengjie
空气源热泵（ASHP）系统在冬季运行时制热能力往往会下降。这是因为结霜严重影响蒸发器的传热效率，从而堵塞气流通道。为了解决这一问题，开发了一种集除湿和蓄热于一体的新型无霜空气源热泵系统。为了进一步研究系统在低温下工作的动态特性，构建了新型无霜空气源热泵系统的数学模型。通过与实验数据的比较验证了数学模型，测量结果与数值结果吻合较好。根据数学模型，研究结果表明，在相对湿度（RH）为80%的情况下，当环境温度从-10℃升高到0℃时，系统平均COP增加了56.2%。然而，当温度为 0 °C 时 RH 从 75% 增加到 85% 时，它下降了 6.7%。此外，风速为3.0 m s−1时系统平均COP比2.5 m s−1和3.5 m s−1高0.22和0.16。最后，通过多元线性回归得到系统无霜工作时间和系统COP分别与环境温度和相对湿度的相关性。这些结果为改进和优化热系统COP等主要性能参数提供了依据。
Heating capacity of an air-source heat pump (ASHP) system often decreases when it is operated in winter. This is because of frosting significantly affects the heat transfer efficiency of evaporator, and thus the airflow passage blocked. In order to solve this problem, a novel frost-free ASHP system, integrated with dehumidification and thermal energy storage, has been developed. In this paper, to further investigate the dynamic characteristics of the system working at low temperature, a mathematical model of the novel frost-free ASHP system was constructed. The mathematical model was verified by comparison with experimental data that showed that the measured results were in good accordance with the numerical ones. According to the mathematical model, the research results indicated that, at relatively humidity (RH) of 80%, the system average COP increased by 56.2% when ambient temperature increased from −10 °C to 0 °C. However, it decreased by 6.7% when RH increased from 75% to 85% at temperature of 0 °C. In addition, the system average COP at the air velocity of 3.0 m s−1was higher 0.22 and 0.16 than that of 2.5 m s−1and 3.5 m s−1. Finally, the correlations of the system frost-free working time and the system COP with ambient temperature and relative humidity were obtained, respectively, by multivariate linear regression. These results provided a basis in improving and optimizing the thermal system COP and other main performance parameters.