MODELING THE SYNTHETIC GAS FERMENTATION FOR BIOETHANOL PRODUCTION

The anaerobic fermentation process' ability to produce high yields is limited by the mass transfer rate of synthetic gas, hence synthetic gas fermentation's performance remains poor. Two factors contribute to the low mass transfer rate. 1) Fermentation gas has a poor mass transfer coeffici...

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Main Author: Mustika Krista, Gustin
Format: Theses
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/59601
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Institution: Institut Teknologi Bandung
Language: Indonesia
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spelling id-itb.:596012021-09-14T11:24:04ZMODELING THE SYNTHETIC GAS FERMENTATION FOR BIOETHANOL PRODUCTION Mustika Krista, Gustin Teknik kimia Indonesia Theses Repeated Batch, SuperPro, microfilter, splitting, synthetic gas, biomass. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/59601 The anaerobic fermentation process' ability to produce high yields is limited by the mass transfer rate of synthetic gas, hence synthetic gas fermentation's performance remains poor. Two factors contribute to the low mass transfer rate. 1) Fermentation gas has a poor mass transfer coefficient; 2) the number of cells produced by in the fermentation broth is still minimal, limiting the consumption and utilization of synthetic gas substrates. Using SuperPro, create a simulation model of the syngas fermentation process based on data from prior laboratory studies. The fermentation process operating settings in the model are based on the real-world operating circumstances from the prior study. The SuperPro modeling findings reveal the same values and patterns as the lab studies' results. In this case, the resulting productivity for acetic acid, ethanol, and biomass is 0.44 g/L-day, 0.16 g/L-day, and 0.11 g/L-day. CO and CO2 had utility percentages of 23% and 100%. As a result, this model is thought to be a representation of the syngas fermentation process. The method of Repeated Batch Fermentation was used to increase the concentration of biomass. The method of Repeated Batch Fermentation was used to increase the concentration of biomass. The repeating batch procedure can be done in two ways: by enriching biomass or by doing it directly. A microfilter unit was utilized to enrich the biomass, whereas spitting on the SuperPro was used for the direct approach. The fermentation process is repeated three times with a process of one cycle. One cycle is completed three times during fermentation, with each batch taking 9 days to process, for a total of 36 days. The numbers for the separator unit, namely the microfilter and the separation, are 10%, 25%, 50%, and 75%, respectively, in this modeling. The simulation results show that employing a splitting unit with a final ethanol yield of 6.1 g/L and a microfilter unit with a final ethanol yield of 2.8 g/L yields the highest value amongst the two techniques. The larger the variation value, the faster the fermentation time and the higher the metabolite gain. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Teknik kimia
spellingShingle Teknik kimia
Mustika Krista, Gustin
MODELING THE SYNTHETIC GAS FERMENTATION FOR BIOETHANOL PRODUCTION
description The anaerobic fermentation process' ability to produce high yields is limited by the mass transfer rate of synthetic gas, hence synthetic gas fermentation's performance remains poor. Two factors contribute to the low mass transfer rate. 1) Fermentation gas has a poor mass transfer coefficient; 2) the number of cells produced by in the fermentation broth is still minimal, limiting the consumption and utilization of synthetic gas substrates. Using SuperPro, create a simulation model of the syngas fermentation process based on data from prior laboratory studies. The fermentation process operating settings in the model are based on the real-world operating circumstances from the prior study. The SuperPro modeling findings reveal the same values and patterns as the lab studies' results. In this case, the resulting productivity for acetic acid, ethanol, and biomass is 0.44 g/L-day, 0.16 g/L-day, and 0.11 g/L-day. CO and CO2 had utility percentages of 23% and 100%. As a result, this model is thought to be a representation of the syngas fermentation process. The method of Repeated Batch Fermentation was used to increase the concentration of biomass. The method of Repeated Batch Fermentation was used to increase the concentration of biomass. The repeating batch procedure can be done in two ways: by enriching biomass or by doing it directly. A microfilter unit was utilized to enrich the biomass, whereas spitting on the SuperPro was used for the direct approach. The fermentation process is repeated three times with a process of one cycle. One cycle is completed three times during fermentation, with each batch taking 9 days to process, for a total of 36 days. The numbers for the separator unit, namely the microfilter and the separation, are 10%, 25%, 50%, and 75%, respectively, in this modeling. The simulation results show that employing a splitting unit with a final ethanol yield of 6.1 g/L and a microfilter unit with a final ethanol yield of 2.8 g/L yields the highest value amongst the two techniques. The larger the variation value, the faster the fermentation time and the higher the metabolite gain.
format Theses
author Mustika Krista, Gustin
author_facet Mustika Krista, Gustin
author_sort Mustika Krista, Gustin
title MODELING THE SYNTHETIC GAS FERMENTATION FOR BIOETHANOL PRODUCTION
title_short MODELING THE SYNTHETIC GAS FERMENTATION FOR BIOETHANOL PRODUCTION
title_full MODELING THE SYNTHETIC GAS FERMENTATION FOR BIOETHANOL PRODUCTION
title_fullStr MODELING THE SYNTHETIC GAS FERMENTATION FOR BIOETHANOL PRODUCTION
title_full_unstemmed MODELING THE SYNTHETIC GAS FERMENTATION FOR BIOETHANOL PRODUCTION
title_sort modeling the synthetic gas fermentation for bioethanol production
url https://digilib.itb.ac.id/gdl/view/59601
_version_ 1822003288864718848