Mathematical modeling of a moving bed reactor for post-combustion CO2 capture
Abstract
A mathematical model for a moving bed reactor with embedded heat exchanger has been developed for application to solid sorbent-based capture of carbon dioxide from flue gas emitted by coal-fired power plants. The reactor model is one-dimensional, non-isothermal, and pressure-driven. The two-phase (gas and solids) model includes rigorous kinetics and heat and mass transfer between the two phases. Flow characteristics of the gas and solids in the moving bed are obtained by analogy with correlations for fixed and fluidized bed systems. From the steady-state perspective, this work presents the impact of key design variables that can be used for optimization. From the dynamic perspective, the article shows transient profiles of key outputs that should be taken into account while designing an effective control system. Additionally, the article also presents performance of a model predictive controller for the moving bed regenerator under process constraints.
- Authors:
-
- National Energy Technology Lab. (NETL), Morgantown, WV (United States)
- National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
- West Virginia Univ., Morgantown, WV (United States)
- National Energy Technology Lab. (NETL), Morgantown, WV (United States); West Virginia Univ., Morgantown, WV (United States)
- Publication Date:
- Research Org.:
- National Energy Technology Lab. (NETL), Morgantown, WV and Pittsburg, PA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1477857
- Resource Type:
- Accepted Manuscript
- Journal Name:
- AIChE Journal
- Additional Journal Information:
- Journal Volume: 62; Journal Issue: 11; Journal ID: ISSN 0001-1541
- Publisher:
- American Institute of Chemical Engineers
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; CO2 capture; solid sorbent; moving bed; dynamic model; regenerator; model predictive control
Citation Formats
Kim, Hosoo, Miller, David C., Modekurti, Srinivasarao, Omell, Benjamin, Bhattacharyya, Debangsu, and Zitney, Stephen E. Mathematical modeling of a moving bed reactor for post-combustion CO2 capture. United States: N. p., 2016.
Web. doi:10.1002/aic.15289.
Kim, Hosoo, Miller, David C., Modekurti, Srinivasarao, Omell, Benjamin, Bhattacharyya, Debangsu, & Zitney, Stephen E. Mathematical modeling of a moving bed reactor for post-combustion CO2 capture. United States. doi:10.1002/aic.15289.
Kim, Hosoo, Miller, David C., Modekurti, Srinivasarao, Omell, Benjamin, Bhattacharyya, Debangsu, and Zitney, Stephen E. Fri .
"Mathematical modeling of a moving bed reactor for post-combustion CO2 capture". United States. doi:10.1002/aic.15289. https://www.osti.gov/servlets/purl/1477857.
@article{osti_1477857,
title = {Mathematical modeling of a moving bed reactor for post-combustion CO2 capture},
author = {Kim, Hosoo and Miller, David C. and Modekurti, Srinivasarao and Omell, Benjamin and Bhattacharyya, Debangsu and Zitney, Stephen E.},
abstractNote = {A mathematical model for a moving bed reactor with embedded heat exchanger has been developed for application to solid sorbent-based capture of carbon dioxide from flue gas emitted by coal-fired power plants. The reactor model is one-dimensional, non-isothermal, and pressure-driven. The two-phase (gas and solids) model includes rigorous kinetics and heat and mass transfer between the two phases. Flow characteristics of the gas and solids in the moving bed are obtained by analogy with correlations for fixed and fluidized bed systems. From the steady-state perspective, this work presents the impact of key design variables that can be used for optimization. From the dynamic perspective, the article shows transient profiles of key outputs that should be taken into account while designing an effective control system. Additionally, the article also presents performance of a model predictive controller for the moving bed regenerator under process constraints.},
doi = {10.1002/aic.15289},
journal = {AIChE Journal},
number = 11,
volume = 62,
place = {United States},
year = {2016},
month = {4}
}
Web of Science
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