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Title: Carbon Dioxide Absorption Modeling for Off-Gas Treatment in the Nuclear Fuel Cycle

Abstract

The absorption of carbon dioxide is an important process in many practical applications such as reduction of greenhouse gases, separation and purification processes in the chemical and petroleum industries, and capture of radioactive isotopes in the nuclear fuel cycle The goal of this research is to develop a dynamic model to simulate CO 2 absorption by using different alkanolamines as absorption solvents. The model is based upon transient mass and energy balances for the chemical species commonly present in CO 2 gas-liquid absorption. A computer code has been written to implement the proposed model. Simulation results are discussed. The reported model simulates well the response to dynamic changes in input conditions. The proposed model can be used to optimize and control the separation of carbon-14 in the form of CO 2 in the nuclear industry.

Authors:
ORCiD logo [1];  [2]
  1. Department of Chemical Engineering, Prairie View A&M University, Prairie View, TX 77446, USA
  2. Oak Ridge National Laboratory, Oak Ridge, TN 37831-6181, USA
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1476972
Alternate Identifier(s):
OSTI ID: 1468078
Grant/Contract Number:  
NFE-12-03822; AC05-00OR22725
Resource Type:
Published Article
Journal Name:
International Journal of Chemical Engineering
Additional Journal Information:
Journal Name: International Journal of Chemical Engineering Journal Volume: 2018; Journal ID: ISSN 1687-806X
Publisher:
Hindawi Publishing Corporation
Country of Publication:
Egypt
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS

Citation Formats

Gabitto, Jorge, and Tsouris, Costas. Carbon Dioxide Absorption Modeling for Off-Gas Treatment in the Nuclear Fuel Cycle. Egypt: N. p., 2018. Web. doi:10.1155/2018/3158147.
Gabitto, Jorge, & Tsouris, Costas. Carbon Dioxide Absorption Modeling for Off-Gas Treatment in the Nuclear Fuel Cycle. Egypt. https://doi.org/10.1155/2018/3158147
Gabitto, Jorge, and Tsouris, Costas. Wed . "Carbon Dioxide Absorption Modeling for Off-Gas Treatment in the Nuclear Fuel Cycle". Egypt. https://doi.org/10.1155/2018/3158147.
@article{osti_1476972,
title = {Carbon Dioxide Absorption Modeling for Off-Gas Treatment in the Nuclear Fuel Cycle},
author = {Gabitto, Jorge and Tsouris, Costas},
abstractNote = {The absorption of carbon dioxide is an important process in many practical applications such as reduction of greenhouse gases, separation and purification processes in the chemical and petroleum industries, and capture of radioactive isotopes in the nuclear fuel cycle The goal of this research is to develop a dynamic model to simulate CO 2 absorption by using different alkanolamines as absorption solvents. The model is based upon transient mass and energy balances for the chemical species commonly present in CO 2 gas-liquid absorption. A computer code has been written to implement the proposed model. Simulation results are discussed. The reported model simulates well the response to dynamic changes in input conditions. The proposed model can be used to optimize and control the separation of carbon-14 in the form of CO 2 in the nuclear industry.},
doi = {10.1155/2018/3158147},
journal = {International Journal of Chemical Engineering},
number = ,
volume = 2018,
place = {Egypt},
year = {Wed Oct 10 00:00:00 EDT 2018},
month = {Wed Oct 10 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1155/2018/3158147

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Cited by: 4 works
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Works referencing / citing this record:

CO 2 absorption from simulated flue gas in a bubble column
journal, February 2019


CO 2 absorption from simulated flue gas in a bubble column
journal, February 2019


Determination of reactive mass transfer coefficients for CO 2 absorption predictions
journal, April 2019


Simulation of carbon dioxide absorption by amino acids in two-phase batch and bubble column reactors
journal, February 2019