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Title: Device-scale CFD modeling of gas-liquid multiphase flow and amine absorption for CO2 capture

Abstract

In this paper we aim to develop a validated device-scale CFD model that can predict quantitatively both hydrodynamics and CO2 capture efficiency for an amine-based solvent absorber column with random Pall ring packing. A Eulerian porous-media approach and a two-fluid model were employed, in which the momentum and mass transfer equations were closed by literature-based empirical closure models. We proposed a hierarchical approach for calibrating the parameters in the closure models to make them accurate for the packed column. Specifically, a parameter for momentum transfer in the closure was first calibrated based on data from a single experiment. With this calibrated parameter, a parameter in the closure for mass transfer was next calibrated under a single operating condition. Last, the closure of the wetting area was calibrated for each gas velocity at three different liquid flow rates. For each calibration, cross validations were pursued using the experimental data under operating conditions different from those used for calibrations. This hierarchical approach can be generally applied to develop validated device-scale CFD models for different absorption columns.

Authors:
 [1];  [2];  [3]; ORCiD logo [4];  [5];  [6];  [6]
  1. UNIVERSITY PROGRAMS
  2. National Energy Technology Laboratory
  3. UNIVERSITY OF WISCONSIN
  4. BATTELLE (PACIFIC NW LAB)
  5. Oak Ridge National Laboratory
  6. University of Kentucky
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1526257
Report Number(s):
PNNL-SA-137121
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Greenhouse Gases: Science and Technology
Additional Journal Information:
Journal Volume: 8; Journal Issue: 3
Country of Publication:
United States
Language:
English

Citation Formats

Pan, Wenxiao, Galvin, Janine, Huang, Wei Ling, Xu, Zhijie, Sun, Xin, Fan, Zhen, and Liu, Kunlei. Device-scale CFD modeling of gas-liquid multiphase flow and amine absorption for CO2 capture. United States: N. p., 2018. Web. doi:10.1002/ghg.1770.
Pan, Wenxiao, Galvin, Janine, Huang, Wei Ling, Xu, Zhijie, Sun, Xin, Fan, Zhen, & Liu, Kunlei. Device-scale CFD modeling of gas-liquid multiphase flow and amine absorption for CO2 capture. United States. doi:10.1002/ghg.1770.
Pan, Wenxiao, Galvin, Janine, Huang, Wei Ling, Xu, Zhijie, Sun, Xin, Fan, Zhen, and Liu, Kunlei. Fri . "Device-scale CFD modeling of gas-liquid multiphase flow and amine absorption for CO2 capture". United States. doi:10.1002/ghg.1770.
@article{osti_1526257,
title = {Device-scale CFD modeling of gas-liquid multiphase flow and amine absorption for CO2 capture},
author = {Pan, Wenxiao and Galvin, Janine and Huang, Wei Ling and Xu, Zhijie and Sun, Xin and Fan, Zhen and Liu, Kunlei},
abstractNote = {In this paper we aim to develop a validated device-scale CFD model that can predict quantitatively both hydrodynamics and CO2 capture efficiency for an amine-based solvent absorber column with random Pall ring packing. A Eulerian porous-media approach and a two-fluid model were employed, in which the momentum and mass transfer equations were closed by literature-based empirical closure models. We proposed a hierarchical approach for calibrating the parameters in the closure models to make them accurate for the packed column. Specifically, a parameter for momentum transfer in the closure was first calibrated based on data from a single experiment. With this calibrated parameter, a parameter in the closure for mass transfer was next calibrated under a single operating condition. Last, the closure of the wetting area was calibrated for each gas velocity at three different liquid flow rates. For each calibration, cross validations were pursued using the experimental data under operating conditions different from those used for calibrations. This hierarchical approach can be generally applied to develop validated device-scale CFD models for different absorption columns.},
doi = {10.1002/ghg.1770},
journal = {Greenhouse Gases: Science and Technology},
number = 3,
volume = 8,
place = {United States},
year = {2018},
month = {6}
}

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