The steady-state air-to-air heat pump model presented in this thesis was developed from the first principles. The main objective was to develop a heat pump model that can be used as a part of larger simulation models, and that will make a connection between simple models that do not describe equipment behavior accurately enough and complicated models that are computationally very expensive. The model consists of the evaporator, compressor and condenser sub-model, each modeling the steady-state behavior of a particular component. To confirm the model accuracy, simulation results are compared with the experimental data from the Mitsubishi "Mr. Slim"® heat pump. The reported COP prediction errors are up to 20% under-prediction when the evaporating temperature is more than 2 K under-predicted, and 10% when the evaporating temperatures are more accurately predicted (less then 2K underpredicted). The model is strongly sensitive on the evaporator temperature prediction errors, since they influence the compressor inlet density. A grid search optimization algorithm is used to find the heat pump optimal performance map. The map defines the optimal evaporator fan speed, condenser fan speed and compressor speed needed to achieve the lowest total power consumption for the given cooling rate, ambient and zone temperature.
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机译：本文提出的稳态空气对空气热泵模型是从第一原理出发而发展的。主要目标是开发一个可用作大型仿真模型一部分的热泵模型，该模型将无法充分描述设备行为的简单模型与计算上非常昂贵的复杂模型之间建立联系。该模型由蒸发器，压缩机和冷凝器子模型组成，每个子模型都对特定组件的稳态行为进行建模。为了确认模型的准确性，将模拟结果与三菱“ Mr. Slim”®热泵的实验数据进行了比较。当蒸发温度高于预测值2 K以上时，所报告的COP预测误差最高可达20％预测不足，而更准确地预测蒸发温度时（低于2K不足预测），报告的COP预测误差最高为10％。该模型对蒸发器温度预测误差非常敏感，因为它们会影响压缩机入口密度。网格搜索优化算法用于查找热泵最佳性能图。该图定义了在给定的冷却速率，环境温度和区域温度下，实现最低总功耗所需的最佳蒸发器风扇转速，冷凝器风扇转速和压缩机转速。
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