Modeling and optimization of a fast fluidized bed reactor for carbonation reactions

Jhao Rong Chen, Wei Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A carbonator is described as a fast fluidized bed reactor to capture CO2. The proposed mathematical model is validated by literatures and experimental data. In our approach, the bed temperature and inventory weight are used to optimize the reactor design and the water gas shift (WGS) reaction with calcium oxide improves the hydrogen production under the modified WGS kinetics. It is validated that the carbonation can break the chemical equilibrium of WGS and make the reaction go forward to reduce CO and generate a quantity of hydrogen gas.

Original languageEnglish
Title of host publication2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages642-647
Number of pages6
ISBN (Electronic)9781509043972
DOIs
Publication statusPublished - 2017 Jul 18
Event6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 - Taipei, Taiwan
Duration: 2017 May 282017 May 31

Publication series

Name2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017

Other

Other6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
CountryTaiwan
CityTaipei
Period17-05-2817-05-31

Fingerprint

Fluidized Bed
Carbonation
Water gas shift
Fluidized beds
Reactor
Optimization
Water
Modeling
Hydrogen
Carbon Monoxide
Hydrogen production
Lime
Gases
Calcium
Mathematical models
Oxides
Kinetics
Optimise
Experimental Data
Mathematical Model

All Science Journal Classification (ASJC) codes

  • Process Chemistry and Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Modelling and Simulation

Cite this

Chen, J. R., & Wu, W. (2017). Modeling and optimization of a fast fluidized bed reactor for carbonation reactions. In 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 (pp. 642-647). [7983855] (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ADCONIP.2017.7983855
Chen, Jhao Rong ; Wu, Wei. / Modeling and optimization of a fast fluidized bed reactor for carbonation reactions. 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 642-647 (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017).
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Chen, JR & Wu, W 2017, Modeling and optimization of a fast fluidized bed reactor for carbonation reactions. in 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017., 7983855, 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017, Institute of Electrical and Electronics Engineers Inc., pp. 642-647, 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017, Taipei, Taiwan, 17-05-28. https://doi.org/10.1109/ADCONIP.2017.7983855

Modeling and optimization of a fast fluidized bed reactor for carbonation reactions. / Chen, Jhao Rong; Wu, Wei.

2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 642-647 7983855 (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chen JR, Wu W. Modeling and optimization of a fast fluidized bed reactor for carbonation reactions. In 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 642-647. 7983855. (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017). https://doi.org/10.1109/ADCONIP.2017.7983855