Volume 22
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Mahalik, K., Mohanty, Y. K., Biswal, K. C., Roy, G. K., & Sahu, J. N. (2015). Statistical modeling and optimization of a multistage gas–solid fluidized bed for removing pollutants from flue gases. Particuology, 22, 72-81. https://doi.org/10.1016/j.partic.2014.06.012
Statistical modeling and optimization of a multistage gas–solid fluidized bed for removing pollutants from flue gases
K. Mahalik a, Y.K. Mohanty a, K.C. Biswal b, G.K. Roy a, J.N. Sahu c d *
a Department of Chemical Engineering, Gandhi Institute of Engineering and Technology, Gunupur 765022, India
b Department of Chemical Engineering, National Institute of Technology, Rourkela 769008, Orissa, India
c Department of Chemical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
d Petroleum and Chemical Engineering Programme Area, Faculty of Engineering, Institut Teknologi Brunei (A Technology University), Tungku Gadong, Brunei Darussalam
10.1016/j.partic.2014.06.012
Volume 22, October 2015, Pages 72-81
Received 7 April 2014, Revised 4 June 2014, Accepted 25 June 2014, Available online 13 November 2014, Version of Record 4 August 2015.
E-mail: jay_sahu@yahoo.co.in; jnsahu@um.edu.my

Highlights

• Statistical modeling correlated ΔP and Umf with operating parameters in a three-stage fluidizer.

• Model-predicted values of ΔP and Umf fitted well the experimental data.

• Umf in the top bed of a three-stage system was less than that in an identical single-stage bed.

• Total ΔP over the three-stage fluidized bed was less than that of an identical single-stage bed.


Abstract

The present paper describes the statistical modeling and optimization of a multistage gas–solid fluidized bed reactor for the control of hazardous pollutants in flue gas. In this work, we study the hydrodynamics of the pressure drop and minimum fluidization velocity. The hydrodynamics of a three-stage fluidized bed are then compared with those for a single-stage unit. It is observed that the total pressure drop over all stages of the three-stage fluidized bed is less than that of an identical single-stage system. However, the minimum fluidization velocity is higher in the single-stage unit. Under identical conditions, the minimum fluidization velocity is highest in the top bed, and lowest in the bottom bed. This signifies that the behavior of solids changes from a well-mixed flow to a plug-flow, with intermediate behavior in the middle bed.

Graphical abstract
Keywords
Fluidized bed; Multi-stage; Pressure drop; Minimum fluidization velocity; Optimization