Comprehensive modeling of frictional pressure drop during carbon dioxide two-phase flow inside channels using intelligent and conventional methods

doi:10.1016/j.cjche.2023.05.001

中国化学工程学报 ›› 2023, Vol. 63 ›› Issue (11): 108-119.DOI: 10.1016/j.cjche.2023.05.001

• Full Length Article • 上一篇下一篇

Comprehensive modeling of frictional pressure drop during carbon dioxide two-phase flow inside channels using intelligent and conventional methods

Mohammad Amin Moradkhani¹, Seyyed Hossein Hosseini¹, Mengjie Song²

1. Department of Chemical Engineering, Ilam University, 69315-516 Ilam, Iran;
2. Department of Energy and Power Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

收稿日期:2023-01-30 修回日期:2023-05-09 出版日期:2023-11-28 发布日期:2024-01-08
通讯作者: Seyyed Hossein Hosseini,E-mail:s.h.hosseini@ilam.ac.ir;Mengjie Song,E-mail:mengjie.song@bit.edu.cn
基金资助:
This research was funded by the National Foreign Expert Project (G2022178023L).

Comprehensive modeling of frictional pressure drop during carbon dioxide two-phase flow inside channels using intelligent and conventional methods

Mohammad Amin Moradkhani¹, Seyyed Hossein Hosseini¹, Mengjie Song²

1. Department of Chemical Engineering, Ilam University, 69315-516 Ilam, Iran;
2. Department of Energy and Power Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

Received:2023-01-30 Revised:2023-05-09 Online:2023-11-28 Published:2024-01-08
Contact: Seyyed Hossein Hosseini,E-mail:s.h.hosseini@ilam.ac.ir;Mengjie Song,E-mail:mengjie.song@bit.edu.cn
Supported by:
This research was funded by the National Foreign Expert Project (G2022178023L).

摘要/Abstract

摘要： Environmentally friendly nature of CO₂, associated with its safety and high efficiency, has made it a widely used working fluid in heat exchangers. Since CO₂ has strange thermophysical features, specific models are required to estimate its two-phase characteristics, particularly frictional pressure drop (FPD). Herein, a widespread dataset, comprising 1195 experimental samples for two-phase FPD of CO₂ was adopted from 10 sources to fulfill this requirement. The literature correlations failed to provide satisfactory precisions and exhibited the average absolute relative errors (AAREs) between 29.29% and 67.69% from the analyzed data. By inspiring the theoretical method of Lockhart and Martinelli, three intelligent FPD models were presented, among which the Gaussian process regression approach surpassed the others with AARE and R² values of 5.48% and 98.80%, respectively in the test stage. A novel simple correlation was also derived based on the least square fitting method, which yielded opportune predictions with AARE of 19.76% for all data. The truthfulness of the newly proposed models was assessed through a variety of statistical and visual analyses, and the results affirmed their high reliability over a broad range of conditions, channel sizes and flow patterns. Furthermore, the novel models performed favorably in describing the physical attitudes corresponding to two-phase FPD of CO₂. Eventually, the importance of operating factors in controlling the FPD was discussed through a sensitivity analysis.

关键词: CO₂, Two-phase flow, Frictional pressure drop, Intelligent approaches, Correlation

Abstract: Environmentally friendly nature of CO₂, associated with its safety and high efficiency, has made it a widely used working fluid in heat exchangers. Since CO₂ has strange thermophysical features, specific models are required to estimate its two-phase characteristics, particularly frictional pressure drop (FPD). Herein, a widespread dataset, comprising 1195 experimental samples for two-phase FPD of CO₂ was adopted from 10 sources to fulfill this requirement. The literature correlations failed to provide satisfactory precisions and exhibited the average absolute relative errors (AAREs) between 29.29% and 67.69% from the analyzed data. By inspiring the theoretical method of Lockhart and Martinelli, three intelligent FPD models were presented, among which the Gaussian process regression approach surpassed the others with AARE and R² values of 5.48% and 98.80%, respectively in the test stage. A novel simple correlation was also derived based on the least square fitting method, which yielded opportune predictions with AARE of 19.76% for all data. The truthfulness of the newly proposed models was assessed through a variety of statistical and visual analyses, and the results affirmed their high reliability over a broad range of conditions, channel sizes and flow patterns. Furthermore, the novel models performed favorably in describing the physical attitudes corresponding to two-phase FPD of CO₂. Eventually, the importance of operating factors in controlling the FPD was discussed through a sensitivity analysis.

Key words: CO₂, Two-phase flow, Frictional pressure drop, Intelligent approaches, Correlation

Mohammad Amin Moradkhani, Seyyed Hossein Hosseini, Mengjie Song. Comprehensive modeling of frictional pressure drop during carbon dioxide two-phase flow inside channels using intelligent and conventional methods[J]. 中国化学工程学报, 2023, 63(11): 108-119.

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Comprehensive modeling of frictional pressure drop during carbon dioxide two-phase flow inside channels using intelligent and conventional methods

Comprehensive modeling of frictional pressure drop during carbon dioxide two-phase flow inside channels using intelligent and conventional methods

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