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A generalized moving-boundary algorithm to predict the heat transfer rate of transcritical CO2 gas coolers
International Journal of Refrigeration ( IF 3.9 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.ijrefrig.2020.05.021
Ammar M. Bahman , Davide Ziviani , Eckhard A. Groll

This paper presents the development of a CO2 gas cooler model using the moving-boundary (MB) method. The model aims to separate the gas cooler into two regions, supercritical and supercritical liquid, to predict the steady-state thermal heat transfer rate for air-type CO2 heat exchanger. The model uses the latest correlations for refrigerant and air-side heat transfer coefficients and pressure drops. The experimental results of fin-and-tube type and micro-channel type gas coolers were used for model validation. The mean absolute error (MAE) of the gas cooler heating capacity predictions was approximately 4%, while the predictions of the outlet temperature of the refrigerant side were within ± 3 K. The present MB model also showed an improved computational time of up to 10 times faster compared to a discretized model, which can reduce the overall computational effort in the simulation of detailed transcritical cycle model.



中文翻译:

预测跨临界CO 2气体冷却器传热速率的广义移动边界算法

本文介绍了使用移动边界(MB)​​方法开发的CO 2气体冷却器模型。该模型旨在将气体冷却器分为两个区域,即超临界和超临界液体,以预测空气型CO 2的稳态传热率热交换器。该模型使用最新的制冷剂和空气侧传热系数以及压降相关性。翅片管式和微通道式气体冷却器的实验结果用于模型验证。气体冷却器加热容量预测的平均绝对误差(MAE)约为4%,而制冷剂侧出口温度的预测在±3 K以内。本MB模型还显示出最多可将计算时间提高10倍相较于离散化模型,其速度要快两倍,这可以减少详细的跨临界循环模型的仿真所需的总体计算量。

更新日期:2020-08-10
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