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

Joint Authors

Gabitto, Jorge
Tsouris, Costas

Source

International Journal of Chemical Engineering

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-10-10

Country of Publication

Egypt

No. of Pages

11

Abstract EN

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 CO2 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 CO2 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 CO2 in the nuclear industry.

American Psychological Association (APA)

Gabitto, Jorge& Tsouris, Costas. 2018. Carbon Dioxide Absorption Modeling for Off-Gas Treatment in the Nuclear Fuel Cycle. International Journal of Chemical Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1170118

Modern Language Association (MLA)

Gabitto, Jorge& Tsouris, Costas. Carbon Dioxide Absorption Modeling for Off-Gas Treatment in the Nuclear Fuel Cycle. International Journal of Chemical Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1170118

American Medical Association (AMA)

Gabitto, Jorge& Tsouris, Costas. Carbon Dioxide Absorption Modeling for Off-Gas Treatment in the Nuclear Fuel Cycle. International Journal of Chemical Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1170118

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1170118