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CO2 removal from industrial off-gas streams by fluidized bed carbonation

CO2 removal from industrial off-gas streams by fluidized bed carbonation

Pericleous, K.A ORCID: 0000-0002-7426-9999, Molaei, M. and Patel, M.K. (2012) CO2 removal from industrial off-gas streams by fluidized bed carbonation. In: Salazar-Villalpando, Maria. D., Neelameggham, Neal R., Guillen, Donna Post, Pati, Soobhankar and Krumdick, Gregory K., (eds.) Energy Technology 2012: Carbon Dioxide Management and Other Technologies. J. Wiley & Sons, Inc., USA, pp. 39-46. ISBN 978-1-1182-9138-2

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Abstract

The future trading of carbon credits and increased financial cost necessitates substantial cuts in incidental CO2 emissions in the production of metals (iron, steel, aluminum, zinc, lead). Although greener methods of production are being developed, in the short term the use of point-source CO2 extraction using existing technology remains attractive. Accelerated natural carbonation, in a fluidized bed is a feasible technological route investigated in this research. CFD modelling has been used to study the efficiency of CO2 capture in a fluidized bed reactor containing a CaO solid sorbent. A Lagrangian/Eulerian scheme describes CaO particle trajectories and exchange of mass, momentum and energy with the carrier gas, with a typical off-gas composition. Different reactor geometries are considered (with uniform, stepped and gradually expanding cross-section), to maximize conversion for a given particle loading and size distribution (100-200 microns). Removal efficiencies of up to 80% are demonstrated, making this a viable process.

Item Type: Book Section
Additional Information: [1] Originally presented at 2012 TMS 141st Annual Meeting & Exhibition (The Minerals, Metals & Materials Society), March 11-15, 2012, Orlando Florida
Uncontrolled Keywords: CFD simulation, fluidized bed reactor, CO2 capture, carbonation
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7858

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