Modelling Performance Evaluation of Microbial Desulphurization of Waterberg Steam Coal in CSTR

The first part of this study used microbial desulphurization process as a pre-combustion technique for sulphur content reduction in Waterberg steam coal. This is simulated at the laboratory scale where Continuously Stirred Tank Reactor (CSTR) acts as a biological reaction chamber. Experimental tests...

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Main Authors: Seshibe Stanford Makgato, Evans M. N. Chirwa
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2019-10-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/10476
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spelling doaj-95323ca095d5403cbfbe7591d1cab7f72021-02-16T20:59:13ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162019-10-017610.3303/CET1976025Modelling Performance Evaluation of Microbial Desulphurization of Waterberg Steam Coal in CSTRSeshibe Stanford MakgatoEvans M. N. ChirwaThe first part of this study used microbial desulphurization process as a pre-combustion technique for sulphur content reduction in Waterberg steam coal. This is simulated at the laboratory scale where Continuously Stirred Tank Reactor (CSTR) acts as a biological reaction chamber. Experimental tests were performed by varying coal particle size distribution of -0.85 mm, +1.00 mm, +2.30 mm and 4.60 mm in order to determine the influence and optimum condition for desulphurization process. The second part of this study deals with developing a model based on reaction kinetics, simulate microbial desulphurization process in CSTR system and validate the model under various experimental conditions. Kinetics study and parameter estimations were evaluated and optimized using the Simulation Programme for Aquatic Systems (AQUASIM) 2.0 Software. The average kinetic parameters in the bioreactor were determined for both without inhibition: kd = 1.65 x 10-3 (h-1), Ks = 1.23 x 10-4 mgL-1, X0 = 523 mgL-1 and ?2 = 0.524 and with inhibition, KI = 371 mgL-1 for finer coal particle size. Equally important, these kinetic parameters were determined by means of optimization. Consideration should be given that the developed model may be applied to only wider range of sulphur content range studied.https://www.cetjournal.it/index.php/cet/article/view/10476
collection DOAJ
language English
format Article
sources DOAJ
author Seshibe Stanford Makgato
Evans M. N. Chirwa
spellingShingle Seshibe Stanford Makgato
Evans M. N. Chirwa
Modelling Performance Evaluation of Microbial Desulphurization of Waterberg Steam Coal in CSTR
Chemical Engineering Transactions
author_facet Seshibe Stanford Makgato
Evans M. N. Chirwa
author_sort Seshibe Stanford Makgato
title Modelling Performance Evaluation of Microbial Desulphurization of Waterberg Steam Coal in CSTR
title_short Modelling Performance Evaluation of Microbial Desulphurization of Waterberg Steam Coal in CSTR
title_full Modelling Performance Evaluation of Microbial Desulphurization of Waterberg Steam Coal in CSTR
title_fullStr Modelling Performance Evaluation of Microbial Desulphurization of Waterberg Steam Coal in CSTR
title_full_unstemmed Modelling Performance Evaluation of Microbial Desulphurization of Waterberg Steam Coal in CSTR
title_sort modelling performance evaluation of microbial desulphurization of waterberg steam coal in cstr
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2019-10-01
description The first part of this study used microbial desulphurization process as a pre-combustion technique for sulphur content reduction in Waterberg steam coal. This is simulated at the laboratory scale where Continuously Stirred Tank Reactor (CSTR) acts as a biological reaction chamber. Experimental tests were performed by varying coal particle size distribution of -0.85 mm, +1.00 mm, +2.30 mm and 4.60 mm in order to determine the influence and optimum condition for desulphurization process. The second part of this study deals with developing a model based on reaction kinetics, simulate microbial desulphurization process in CSTR system and validate the model under various experimental conditions. Kinetics study and parameter estimations were evaluated and optimized using the Simulation Programme for Aquatic Systems (AQUASIM) 2.0 Software. The average kinetic parameters in the bioreactor were determined for both without inhibition: kd = 1.65 x 10-3 (h-1), Ks = 1.23 x 10-4 mgL-1, X0 = 523 mgL-1 and ?2 = 0.524 and with inhibition, KI = 371 mgL-1 for finer coal particle size. Equally important, these kinetic parameters were determined by means of optimization. Consideration should be given that the developed model may be applied to only wider range of sulphur content range studied.
url https://www.cetjournal.it/index.php/cet/article/view/10476
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