This paper presents a new approach to optimising thermal equipment and systems. It is based on a very complex object model in which the heat transfer coefficients and phase transitions of the humid air are calculated, from which only the operation of the heat exchangers is derived, and then the machines and equipment that make up the system. This approach relates, among other things, the operation of the fan inverter to the heat input and thus the amount of liquid condensed on the exchanger, which is linked to the cooling capacity of the heat pump and the refrigerant condensation and evaporation temperatures, and thus also to the compressor output. Under the conditions of a real thermal system with many interconnected components, only such an accurate model allows simulation-based optimisation of the entire system with all interconnections. All real-world units are characterised by their operating efficiency, which is also introduced into the model. The simulation model allows for not only the optimisation of operating parameters but also the selection of system components. The entire process is illustrated using the example of a heat pump supplying a drying cabinet, in order to demonstrate the correctness of the methodology on a real facility in the form of a “case study”. Optimisation was aimed at obtaining the best energy ratings for the unit and minimising drying time. Due to the multitude of parameters to be optimised and the interdependencies between them, the Taguchi method was used for the optimisation analysis. The real efficiencies for the heat pump have been introduced, focussing on the effectiveness of the heat exchanger fins and the compressor. The tests carried out after the optimisation showed a significant improvement in the coefficient of SMER (Specific Moisture Extraction Rate), which increased by almost 44 % at its peak. The factors influencing SMER underwent significant improvements, with drying time decreasing by 45 % and total energy consumption by more than 21 %. The problem addressed in this work is a methodology for optimising the anticlockwise cycle of an industrial unit, taking into account the actual efficiencies of the components. The innovative methodology includes parametric and nonparametric model elements.

中文翻译：

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基于真实案例研究的优化热泵循环的方法


本白皮书提出了一种优化热设备和系统的新方法。它基于一个非常复杂的对象模型，其中计算了潮湿空气的传热系数和相变，从中仅得出热交换器的运行，然后得出构成系统的机器和设备。除其他外，这种方法将风扇逆变器的运行与热量输入有关，从而与交换器上冷凝的液体量有关，这与热泵的冷却能力以及制冷剂冷凝和蒸发温度有关，因此也与压缩机输出有关。在具有许多互连组件的真实热系统的条件下，只有这样一个精确的模型才能对所有互连的整个系统进行基于仿真的优化。所有现实世界的单位都以其运行效率为特征，这也被引入到模型中。模拟模型不仅允许优化运行参数，还允许选择系统组件。整个过程以热泵为干燥柜供电为例，以“案例研究”的形式证明该方法在真实设施上的正确性。优化旨在获得设备的最佳能效等级并最大限度地缩短干燥时间。由于需要优化的参数众多以及它们之间的相互依赖性，因此使用 Taguchi 方法进行优化分析。介绍了热泵的真正效率，重点是热交换器翅片和压缩机的有效性。 优化后进行的测试表明，SMER 系数（比水分提取率）显著提高，在峰值时增加了近 44%。影响 SMER 的因素得到了显著改善，干燥时间缩短了 45%，总能耗减少了 21 % 以上。这项工作解决的问题是一种优化工业单位逆时针循环的方法，同时考虑到组件的实际效率。创新方法包括参数和非参数模型元素。