对制冷循环热力学的简单分析表明，降低冷凝器压力应导致压缩机能量降低，最低可能的压力受可用散热器温度（通常是环境条件）的限制。因此，冷凝器压力的优化似乎是直截了当的。然而，在实践中有一个更复杂的权衡，因为降低冷凝器压力会增加冷凝器风扇的能量。当使用变速驱动器来控制冷凝器风扇时，这种权衡尤为严重。此外，还可能存在其他限制，如膨胀阀性能。本文展示了如何使用一个数学模型来定义理论最佳冷凝温度，该数学模型考虑了冷凝器的特性、冷凝器控制、制冷负荷和环境温度。 该模型用于探索一个案例研究冷藏仓库设施运行一年的实用冷凝器压力控制策略。这些策略是由模型和替代控制策略定义的最佳策略，包括固定水头压力设定点、环境温度最小值和固定冷凝器风扇转速。替代控制更容易实施，而且通常相对于最佳策略的惩罚很小。引用:2019年冬季会议，佐治亚州亚特兰大，会议论文

Simple analysis of the thermodynamics of the refrigeration cycle suggests that lowering the condenser pressure should result in decreased compressor energy and that the lowest possible pressure is constrained by the temperature of the available heat sink (usually the ambient condition). Thus optimization of the condenser pressure seems straight-forward. However, in practice there is a more complex trade-off, as lowering condenser pressure increases the condenser fan energy. The trade-off is particularly acute when variable speed drives are used to control the condenser fans. In addition, there can be other constraints such as expansion valve performance. This paper demonstrates how the theoretical optimal condensing temperature can be defined using a mathematical model that takes into account the characteristics of the condenser, the condenser controls, the refrigeration load, and the ambient temperature. The model is used to explore practical condenser pressure control strategies for a year of operation of a case study refrigerated warehouse facility. The strategies were the optimum defined by the model and alternative control strategies including fixed head pressure set-point, minimum approach to the ambient temperature, and fixed condenser fan speed. The alternative controls are much simpler to implement and often the penalty relative to the optimum strategy is small.