Removal of CO2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodology

Abstract Carbon dioxide (CO2) is the major component of greenhouse gas. Increase in concentration of CO2 in the atmosphere leads to global warming. To remove the CO2 from waste flue gas a four-stage counter-current multistage fluidized bed adsorber was developed and operated in continuous bubbling f...

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Main Authors: Dipa Das, Sushanta K. Behera, B. C. Meikap
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:International Journal of Coal Science & Technology
Subjects:
Online Access:http://link.springer.com/article/10.1007/s40789-019-0261-6
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spelling doaj-24317ea8787f4d79a70cb6e8f65d5ef92021-04-02T12:32:52ZengSpringerOpenInternational Journal of Coal Science & Technology2095-82932198-78232019-07-016344545810.1007/s40789-019-0261-6Removal of CO2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodologyDipa Das0Sushanta K. Behera1B. C. Meikap2Department of Chemical Engineering, Indian Institute of Technology (IIT) KharagpurDepartment of Chemical Engineering, Indian Institute of Technology (IIT) KharagpurDepartment of Chemical Engineering, Indian Institute of Technology (IIT) KharagpurAbstract Carbon dioxide (CO2) is the major component of greenhouse gas. Increase in concentration of CO2 in the atmosphere leads to global warming. To remove the CO2 from waste flue gas a four-stage counter-current multistage fluidized bed adsorber was developed and operated in continuous bubbling fluidization regime for the two-phase system. This paper describes the optimum condition for CO2 removal efficiency in a multistage fluidized bed reactor using amine impregnated activated carbon. Response surface methodology with central composite design was used to determine the effect of three variables on the response. The variables are inlet concentration of CO2 in ppm (ranging from 3000 to 20,000), impregnation ratio of monoethanol amine (ranging from 0.2 to 0.6) and weir height in mm (20–60). The response was CO2 removal efficiency. The factor which was most influential has been identified from the analysis of variance. The optimum CO2 removal efficiency for the amine impregnated activated carbon (MEA-AC) was found to be 95.17%, at initial concentration of CO2 7312.85 ppm, chemical impregnation ratio of 0.31, and weir height 48.65 mm. From the experiment, the CO2 removal efficiency was found to be 95.97% at the same operating conditions. The predicted response was found to relevance with experimental data.http://link.springer.com/article/10.1007/s40789-019-0261-6Activated carbonResponse surface methodologyCoconut shellImpregnation ratioMultistage fluidized bedOptimization
collection DOAJ
language English
format Article
sources DOAJ
author Dipa Das
Sushanta K. Behera
B. C. Meikap
spellingShingle Dipa Das
Sushanta K. Behera
B. C. Meikap
Removal of CO2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodology
International Journal of Coal Science & Technology
Activated carbon
Response surface methodology
Coconut shell
Impregnation ratio
Multistage fluidized bed
Optimization
author_facet Dipa Das
Sushanta K. Behera
B. C. Meikap
author_sort Dipa Das
title Removal of CO2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodology
title_short Removal of CO2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodology
title_full Removal of CO2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodology
title_fullStr Removal of CO2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodology
title_full_unstemmed Removal of CO2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodology
title_sort removal of co2 in a multistage fluidized bed reactor by amine impregnated activated carbon: optimization using response surface methodology
publisher SpringerOpen
series International Journal of Coal Science & Technology
issn 2095-8293
2198-7823
publishDate 2019-07-01
description Abstract Carbon dioxide (CO2) is the major component of greenhouse gas. Increase in concentration of CO2 in the atmosphere leads to global warming. To remove the CO2 from waste flue gas a four-stage counter-current multistage fluidized bed adsorber was developed and operated in continuous bubbling fluidization regime for the two-phase system. This paper describes the optimum condition for CO2 removal efficiency in a multistage fluidized bed reactor using amine impregnated activated carbon. Response surface methodology with central composite design was used to determine the effect of three variables on the response. The variables are inlet concentration of CO2 in ppm (ranging from 3000 to 20,000), impregnation ratio of monoethanol amine (ranging from 0.2 to 0.6) and weir height in mm (20–60). The response was CO2 removal efficiency. The factor which was most influential has been identified from the analysis of variance. The optimum CO2 removal efficiency for the amine impregnated activated carbon (MEA-AC) was found to be 95.17%, at initial concentration of CO2 7312.85 ppm, chemical impregnation ratio of 0.31, and weir height 48.65 mm. From the experiment, the CO2 removal efficiency was found to be 95.97% at the same operating conditions. The predicted response was found to relevance with experimental data.
topic Activated carbon
Response surface methodology
Coconut shell
Impregnation ratio
Multistage fluidized bed
Optimization
url http://link.springer.com/article/10.1007/s40789-019-0261-6
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AT sushantakbehera removalofco2inamultistagefluidizedbedreactorbyamineimpregnatedactivatedcarbonoptimizationusingresponsesurfacemethodology
AT bcmeikap removalofco2inamultistagefluidizedbedreactorbyamineimpregnatedactivatedcarbonoptimizationusingresponsesurfacemethodology
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