Yu Meihong, Wang Chen, Wang Lei, Zhao Hongxia
School of Control Science and Engineering, Shandong University, Jinan 250061, China.
School of Energy and Power Engineering, Shandong University, Jinan 250061, China.
Entropy (Basel). 2022 Nov 10;24(11):1632. doi: 10.3390/e24111632.
With the increasingly serious energy and environmental problems, the R1234yf ejector refrigeration system (ERS) shows great development potential in the refrigeration industry due to its simplicity, low maintenance costs and environmentally friendly nature. However, poor ejector performance has always been the main bottleneck for system applications. In order to overcome this problem, this paper proposes a design method for R1234yf ejectors based on the gas dynamic method and optimizes the geometrical parameters including the area ratio (AR) and nozzle exit position (NXP) to improve its performance through the control variable optimization algorithms. Based on the validated simulation model, the results show that the entrainment ratio increases initially and then decreases with the increase in AR and NXP, respectively; the AR has a significant effect on the shock wave position in the mixing chamber and the NXP can directly influence the expansion state of motive fluid; the ejector performance increases by about 17% over the initial entrainment ratio by the control variable optimization algorithms. This work can guide the R1234yf ejector design and promote the development of the ERS with environmentally friendly working fluids.
随着能源和环境问题日益严峻，R1234yf喷射器制冷系统（ERS）因其结构简单、维护成本低和环保特性，在制冷行业展现出巨大的发展潜力。然而，喷射器性能不佳一直是该系统应用的主要瓶颈。为克服这一问题，本文提出一种基于气体动力学方法的R1234yf喷射器设计方法，并通过控制变量优化算法对包括面积比（AR）和喷嘴出口位置（NXP）在内的几何参数进行优化，以提高其性能。基于经过验证的仿真模型，结果表明，引射比分别随AR和NXP的增加先增大后减小；AR对混合室内激波位置有显著影响，NXP可直接影响引射流体的膨胀状态；通过控制变量优化算法，喷射器性能相较于初始引射比提高了约17%。这项工作可为R1234yf喷射器设计提供指导，并推动使用环保工作流体的ERS的发展。
