Mathematical models of a fluidized bed bioreactor using granular activated carbon (FBBR-GAC) for wastewater treatment
This study aimed to developmathematical modelsofa novel recirculation plug-flow reactor (RPFR) and recirculation completely-mixed stirred tank reactors(RCSTR). Itwas doneevaluateand predict wastewater treatment performance using a fluidized bed bioreactor with granular activated carbon (...
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Khon Kaen University
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doaj-584b23ad9d7e4c6e99359fe25078dbb62020-11-25T02:03:26ZengKhon Kaen UniversityEngineering and Applied Science Research2539-61612539-62182019-09-0146318319110.14456/easr.2019.21Mathematical models of a fluidized bed bioreactor using granular activated carbon (FBBR-GAC) for wastewater treatmentRattapol SuksomboonChaiyan JunsiriSutawan TangjitjaroenkitMedhat Mohamed El-MoselhySurapol PadungthonThis study aimed to developmathematical modelsofa novel recirculation plug-flow reactor (RPFR) and recirculation completely-mixed stirred tank reactors(RCSTR). Itwas doneevaluateand predict wastewater treatment performance using a fluidized bed bioreactor with granular activated carbon (FBBR-GAC).Wastewaters from householdwashing activitiesand from an industrial dairy process were used in theseexperiments. The highest COD removal (>90%) from thetwo wastewaters were achieved at recirculation ratio (R) of 936. The kinetic results showed that the rate of COD removal from the twotypes of wastewater used with FBBR-GAC reactors followed 2nd order kinetic models,with k2,RPFR values of 4.68 x 10-2and 2.81x10-2mg-1Ld-1for washingand dairy wastewaters, respectively. Additionally, we found that the RPFR model was more suitable fordescribingthe behavior oftheFBBR-GAC system than the RCSTR model. The developed RPFRmodel can precisely predictthe effluent COD of wastewater at the optimum rate of recirculation (R) 936, and optimum rate ofthebed's stirrer speed (NB)25 rpm. Based on the optimum R and kinetic model, the developed RPFR model can be used to predict the COD reduction overtime. For a continuous process, an optimalflowrate can be obtained from the HRT that givesthe desired COD removal at a givenreactor volume.https://www.tci-thaijo.org/index.php/easr/article/view/168396/150108Mathematical modelsRecirculation bioreactorGranular activated carbon (GAC)Wastewater |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rattapol Suksomboon Chaiyan Junsiri Sutawan Tangjitjaroenkit Medhat Mohamed El-Moselhy Surapol Padungthon |
spellingShingle |
Rattapol Suksomboon Chaiyan Junsiri Sutawan Tangjitjaroenkit Medhat Mohamed El-Moselhy Surapol Padungthon Mathematical models of a fluidized bed bioreactor using granular activated carbon (FBBR-GAC) for wastewater treatment Engineering and Applied Science Research Mathematical models Recirculation bioreactor Granular activated carbon (GAC) Wastewater |
author_facet |
Rattapol Suksomboon Chaiyan Junsiri Sutawan Tangjitjaroenkit Medhat Mohamed El-Moselhy Surapol Padungthon |
author_sort |
Rattapol Suksomboon |
title |
Mathematical models of a fluidized bed bioreactor using granular activated carbon (FBBR-GAC) for wastewater treatment |
title_short |
Mathematical models of a fluidized bed bioreactor using granular activated carbon (FBBR-GAC) for wastewater treatment |
title_full |
Mathematical models of a fluidized bed bioreactor using granular activated carbon (FBBR-GAC) for wastewater treatment |
title_fullStr |
Mathematical models of a fluidized bed bioreactor using granular activated carbon (FBBR-GAC) for wastewater treatment |
title_full_unstemmed |
Mathematical models of a fluidized bed bioreactor using granular activated carbon (FBBR-GAC) for wastewater treatment |
title_sort |
mathematical models of a fluidized bed bioreactor using granular activated carbon (fbbr-gac) for wastewater treatment |
publisher |
Khon Kaen University |
series |
Engineering and Applied Science Research |
issn |
2539-6161 2539-6218 |
publishDate |
2019-09-01 |
description |
This study aimed to developmathematical modelsofa novel recirculation plug-flow reactor (RPFR) and recirculation completely-mixed stirred tank reactors(RCSTR). Itwas doneevaluateand predict wastewater treatment performance using a fluidized bed bioreactor with granular activated carbon (FBBR-GAC).Wastewaters from householdwashing activitiesand from an industrial dairy process were used in theseexperiments. The highest COD removal (>90%) from thetwo wastewaters were achieved at recirculation ratio (R) of 936. The kinetic results showed that the rate of COD removal from the twotypes of wastewater used with FBBR-GAC reactors followed 2nd order kinetic models,with k2,RPFR values of 4.68 x 10-2and 2.81x10-2mg-1Ld-1for washingand dairy wastewaters, respectively. Additionally, we found that the RPFR model was more suitable fordescribingthe behavior oftheFBBR-GAC system than the RCSTR model. The developed RPFRmodel can precisely predictthe effluent COD of wastewater at the optimum rate of recirculation (R) 936, and optimum rate ofthebed's stirrer speed (NB)25 rpm. Based on the optimum R and kinetic model, the developed RPFR model can be used to predict the COD reduction overtime. For a continuous process, an optimalflowrate can be obtained from the HRT that givesthe desired COD removal at a givenreactor volume. |
topic |
Mathematical models Recirculation bioreactor Granular activated carbon (GAC) Wastewater |
url |
https://www.tci-thaijo.org/index.php/easr/article/view/168396/150108 |
work_keys_str_mv |
AT rattapolsuksomboon mathematicalmodelsofafluidizedbedbioreactorusinggranularactivatedcarbonfbbrgacforwastewatertreatment AT chaiyanjunsiri mathematicalmodelsofafluidizedbedbioreactorusinggranularactivatedcarbonfbbrgacforwastewatertreatment AT sutawantangjitjaroenkit mathematicalmodelsofafluidizedbedbioreactorusinggranularactivatedcarbonfbbrgacforwastewatertreatment AT medhatmohamedelmoselhy mathematicalmodelsofafluidizedbedbioreactorusinggranularactivatedcarbonfbbrgacforwastewatertreatment AT surapolpadungthon mathematicalmodelsofafluidizedbedbioreactorusinggranularactivatedcarbonfbbrgacforwastewatertreatment |
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1724948247047307264 |