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<p>Printed circuit heat exchanger (PCHE) is widely used in the liquefied natural gas (LNG) industry due to its compact structure and high efficiency. In this paper, a three-dimensional numerical model of counter-flow PCHE is established using supercritical methane (scCH<sub>4</sub>) and water as cold and heat sources, respectively. The structure effects on the thermal hydraulic performance of PCHE are studied by comprehensively evaluating the thermal performance factor (TPF) of PCHE. The optimal structural parameter and operating condition are obtained, resulting in a heat exchange volume per unit volume of 2.89 times that before optimization. Variations in diameter and bending angle alter the position and intensity of the Dean vortex, significantly influencing flow and heat transfer performance, whereas the pitch number primarily affects flow performance. By introducing structural correction terms, the correlations for predicting <i>Nu</i> and <i>f</i> of scCH<sub>4</sub> in PCHE have been obtained, with deviations of ±12% and ±13%, respectively.</p>

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Geometry Optimization and Performance Prediction of Printed Circuit Heat Exchanger for Supercritical Methane

  • 期刊论文

  • 发表日期：

    2025年9月6日

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  • Lin Li,
  • Jintao Wu,
  • Jianzhong Yin

摘要

Printed circuit heat exchanger (PCHE) is widely used in the liquefied natural gas (LNG) industry due to its compact structure and high efficiency. In this paper, a three-dimensional numerical model of counter-flow PCHE is established using supercritical methane (scCH4) and water as cold and heat sources, respectively. The structure effects on the thermal hydraulic performance of PCHE are studied by comprehensively evaluating the thermal performance factor (TPF) of PCHE. The optimal structural parameter and operating condition are obtained, resulting in a heat exchange volume per unit volume of 2.89 times that before optimization. Variations in diameter and bending angle alter the position and intensity of the Dean vortex, significantly influencing flow and heat transfer performance, whereas the pitch number primarily affects flow performance. By introducing structural correction terms, the correlations for predicting Nu and f of scCH4 in PCHE have been obtained, with deviations of ±12% and ±13%, respectively.