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Title: 3D printed structures for optimized carbon capture technology in packed bed columns

Abstract

The use of 3D printed structured packing for the optimization of aqueous-amine based carbon capture in packed absorption columns is examined in this paper. An experimental testing system has been set up, and initial comparisons were made between metal, plastic, and 3D printed 16-inch packing elements and between three 8-inch 3D printed elements of different densities. Pressure drop measurements were obtained at various air flowrates under dry conditions. Measurements were also taken for a wet system by adding water at six different liquid flowrates. In each case, theoretical calculations for pressure drop were performed based on a model presented in the literature. It was found that, for the 16-inch dry column, the model slightly overpredicts the pressure drop. The model provides an accurate prediction for the dry 8-inch experimental data, especially for the two least dense packing elements. For the wet system, the model overpredicts the pressure drop, likely due to modeling deficiencies when the column reaches its loading limit. Furthermore, these results provide sufficient confidence to move forward with testing and process intensification of the CO 2 capture process.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [4]
  1. Univ. of Delaware, Newark, DE (United States)
  2. Georgia Inst. of Technology, Atlanta, GA (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  4. Georgia Inst. of Technology, Atlanta, GA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1531255
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Separation Science and Technology
Additional Journal Information:
Journal Volume: 54; Journal Issue: 13; Journal ID: ISSN 0149-6395
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 54 ENVIRONMENTAL SCIENCES; absorption column; post-combustion absorption; 3D printing; structured packing; carbon capture

Citation Formats

Bolton, Stephen R., Kasturi, Abishek, Palko, Scott, Lai, Canhai, Love, Lonnie, Parks, Jim, Xin, Sun, and Tsouris, Costas. 3D printed structures for optimized carbon capture technology in packed bed columns. United States: N. p., 2019. Web. doi:10.1080/01496395.2019.1622566.
Bolton, Stephen R., Kasturi, Abishek, Palko, Scott, Lai, Canhai, Love, Lonnie, Parks, Jim, Xin, Sun, & Tsouris, Costas. 3D printed structures for optimized carbon capture technology in packed bed columns. United States. doi:10.1080/01496395.2019.1622566.
Bolton, Stephen R., Kasturi, Abishek, Palko, Scott, Lai, Canhai, Love, Lonnie, Parks, Jim, Xin, Sun, and Tsouris, Costas. Mon . "3D printed structures for optimized carbon capture technology in packed bed columns". United States. doi:10.1080/01496395.2019.1622566.
@article{osti_1531255,
title = {3D printed structures for optimized carbon capture technology in packed bed columns},
author = {Bolton, Stephen R. and Kasturi, Abishek and Palko, Scott and Lai, Canhai and Love, Lonnie and Parks, Jim and Xin, Sun and Tsouris, Costas},
abstractNote = {The use of 3D printed structured packing for the optimization of aqueous-amine based carbon capture in packed absorption columns is examined in this paper. An experimental testing system has been set up, and initial comparisons were made between metal, plastic, and 3D printed 16-inch packing elements and between three 8-inch 3D printed elements of different densities. Pressure drop measurements were obtained at various air flowrates under dry conditions. Measurements were also taken for a wet system by adding water at six different liquid flowrates. In each case, theoretical calculations for pressure drop were performed based on a model presented in the literature. It was found that, for the 16-inch dry column, the model slightly overpredicts the pressure drop. The model provides an accurate prediction for the dry 8-inch experimental data, especially for the two least dense packing elements. For the wet system, the model overpredicts the pressure drop, likely due to modeling deficiencies when the column reaches its loading limit. Furthermore, these results provide sufficient confidence to move forward with testing and process intensification of the CO2 capture process.},
doi = {10.1080/01496395.2019.1622566},
journal = {Separation Science and Technology},
number = 13,
volume = 54,
place = {United States},
year = {2019},
month = {6}
}

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This content will become publicly available on June 3, 2020
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