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Abstract <p>Natural gas contains several impurities such as water vapor, hydrogen sulfide, carbon dioxide, helium, nitrogen, and other components. The presence of moisture in natural gas can lead to serious operational issues, including corrosion of equipment, reduced heating value, hydrate formation in transmission lines, and other process hazards. This study investigates the dehydration of natural gas using a triethylene glycol (TEG) absorber tower through mathematical modeling framework based on mass and energy conservation equations. The model predicts the predicts the distribution of water vapor concentration, gas temperature, and TEG liquid throughout the absorber tower. The research focuses on gas-liquid counterflow absorption in TEG dehydration towers. A porous-medium formulation is employed to represent the packing structure, while a Eulerian–Eulerian multiphase model is utilized to simulate the internal flow field. The flow field incorporates the effects of gas-liquid phase dispersion force, gas-liquid phase diffusion coefficient, and interphase mass transfer. Validation against experimental data from the literature at various temperatures and pressures demonstrates good agreement, with a maximum average deviation of 7.65% in the predicted gas-phase water content. The governing equations were simulated using ANSYS Fluent software to model a gas injection cycle with TEG. The simulation results predictions the saturation profile distribution and the percentage of moisture removal from the gas under different gas inlet velocity conditions at the tower. The developed model effectively predicts both gas temperature and water concentration throughout the absorber tower during the dehydration process. The novelty of this work lies in the development of a transient dynamic simulation framework that captures the time-dependent behavior of gas moisture content, gas temperature, and TEG liquid distribution. The findings offer valuable insights for the design, optimization, and dynamic operation of natural gas dehydration systems.</p>

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Simulation of Moisture Absorption from Natural Gas using Triethylene Glycol in a TEG Absorber Tower with ANSYS Fluent

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • Afshar Alihosseini

摘要

Abstract

Natural gas contains several impurities such as water vapor, hydrogen sulfide, carbon dioxide, helium, nitrogen, and other components. The presence of moisture in natural gas can lead to serious operational issues, including corrosion of equipment, reduced heating value, hydrate formation in transmission lines, and other process hazards. This study investigates the dehydration of natural gas using a triethylene glycol (TEG) absorber tower through mathematical modeling framework based on mass and energy conservation equations. The model predicts the predicts the distribution of water vapor concentration, gas temperature, and TEG liquid throughout the absorber tower. The research focuses on gas-liquid counterflow absorption in TEG dehydration towers. A porous-medium formulation is employed to represent the packing structure, while a Eulerian–Eulerian multiphase model is utilized to simulate the internal flow field. The flow field incorporates the effects of gas-liquid phase dispersion force, gas-liquid phase diffusion coefficient, and interphase mass transfer. Validation against experimental data from the literature at various temperatures and pressures demonstrates good agreement, with a maximum average deviation of 7.65% in the predicted gas-phase water content. The governing equations were simulated using ANSYS Fluent software to model a gas injection cycle with TEG. The simulation results predictions the saturation profile distribution and the percentage of moisture removal from the gas under different gas inlet velocity conditions at the tower. The developed model effectively predicts both gas temperature and water concentration throughout the absorber tower during the dehydration process. The novelty of this work lies in the development of a transient dynamic simulation framework that captures the time-dependent behavior of gas moisture content, gas temperature, and TEG liquid distribution. The findings offer valuable insights for the design, optimization, and dynamic operation of natural gas dehydration systems.