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Modeling Syngas Fermentation for Ethanol Production under Fluctuating Inlet Gas Composition

Bulletin of Chemical Reaction Engineering & Catalysis · Vol. ume (2025) · hlm. 331–345

DOI
10.9767/bcrec.20369
ISSN
1978-2993
Terbit
2025-08-30
Penerbit
Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Syngas fermentation effectively converts CO, H₂, and CO₂ into valuable biofuels and chemicals. This study investigated the effects of fluctuating syngas composition and kLa as the critical operational parameters on microbial fermentation performance, with a focus on ethanol, acetic acid, and biomass production. Modeling results demonstrated that increasing CO concentration significantly enhanced metabolite production, whereas increases in H₂ and CO₂ concentrations yielded limited improvements. The findings revealed that a higher H₂/CO ratio tent to reduce metabolite production, while a higher CO/CO₂ ratio significantly improved fermentation outcomes. Additionally, higher kLa values were observed to promote metabolite production, though diminishing returns were evident at very high kLa levels. Further study on the impact of syngas composition disturbances (±5% to ±20%) and fluctuation durations (0.5, 1, 2, and 4 days) indicated that larger disturbances and longer fluctuation durations led to greater deviations in metabolite concentrations, with ethanol being the most sensitive, followed by acetic acid and biomass. Despite these fluctuations, the microbial system displayed resilience, stabilizing once gas composition returned to normal levels. These insights underscored the adaptability and robustness of syngas fermentation systems, making them viable for industrial applications where gas composition variability is inevitable. The ability to tolerate moderate fluctuations offers opportunities to reduce gas pretreatment costs and process syngas from diverse sources, benefiting industries such as steel manufacturing, oil refining, and biomass gasification. Copyright © 2025 by Authors, Published by BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).

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  • Bandung Institute of Technology
  • Ludwig-Maximilians-Universität München
  • Indonesian Institute of Sciences
  • IHE Delft Institute for Water Education
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Rekan penulisOrganisasiArtikel bersama
Ardiyan HarimawanBandung Institute of Technology3
Hary DeviantoBandung Institute of Technology2
Dianika LestariBandung Institute of Technology2
I. G. B. N. MakertiharthaBandung Institute of Technology2
Ibnu Maulana HidayatullahBandung Institute of Technology2
Khairul Hadi BurhanBandung Institute of Technology2
Tan Mellisa TantraBandung Institute of Technology2
David RusdiBandung Institute of Technology2
Sri Yulina WulandariBandung Institute of Technology1
Arwin SabarBandung Institute of Technology1
B. KurniawanAfiliasi tidak diketahui1
Vita WonoputriBandung Institute of Technology1
Subiantoro SubiantoroBandung Institute of Technology1
Ronny PurwadiBandung Institute of Technology1
Hendro RisdiantoBandung Institute of Technology1
Elis SofiantiBandung Institute of Technology1
Sri Harjati SuhardiBandung Institute of Technology1
Yoke Pean ThyeBandung Institute of Technology1
Agus Jatnika EffendiBandung Institute of Technology1
Prayatni SoewondoBandung Institute of Technology1
Damir BrdjanovićIHE Delft Institute for Water Education1
Andy Wiranata WijayaBandung Institute of Technology1
Andry AndryBandung Institute of Technology1
Awalina SatyaIndonesian Institute of Sciences1
Gadis Sri HaryaniIndonesian Institute of Sciences1
Rd. Habib R. M. T. Al-AzizBandung Institute of Technology1
Dian ShofinitaBandung Institute of Technology1
Yessica LiandroBandung Institute of Technology1
Elvina AngBandung Institute of Technology1
Yazid BindarBandung Institute of Technology1
Fathya RahminaBandung Institute of Technology1
Mike ReichLudwig-Maximilians-Universität München1
Yustina Metanoia PusparizkitaBandung Institute of Technology1
Wolfgang Wilhelm SchmahlLudwig-Maximilians-Universität München1
Bork IlsemannLudwig-Maximilians-Universität München1
Mustofa AnshoriBandung Institute of Technology1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.bcrec.id/index.php/bcrec/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Modeling Syngas Fermentation for Ethanol Production under Fluctuating Inlet Gas Composition</dc:title>
	<dc:creator>Istiqomah, Noviani Arifina</dc:creator>
	<dc:creator>Mukti, Rendy</dc:creator>
	<dc:creator>Kresnowati, Made Tri Ari Penia</dc:creator>
	<dc:creator>Setiadi, Tjandra</dc:creator>
	<dc:subject xml:lang="en-US">Ethanol Production; Inlet Gas Composition Fluctuation; kLa; Model Simulation; Syngas Fermentation</dc:subject>
	<dc:description xml:lang="en-US">Syngas fermentation effectively converts CO, H₂, and CO₂ into valuable biofuels and chemicals. This study investigated the effects of fluctuating syngas composition and kLa as the critical operational parameters on microbial fermentation performance, with a focus on ethanol, acetic acid, and biomass production. Modeling results demonstrated that increasing CO concentration significantly enhanced metabolite production, whereas increases in H₂ and CO₂ concentrations yielded limited improvements. The findings revealed that a higher H₂/CO ratio tent to reduce metabolite production, while a higher CO/CO₂ ratio significantly improved fermentation outcomes. Additionally, higher kLa values were observed to promote metabolite production, though diminishing returns were evident at very high kLa levels. Further study on the impact of syngas composition disturbances (±5% to ±20%) and fluctuation durations (0.5, 1, 2, and 4 days) indicated that larger disturbances and longer fluctuation durations led to greater deviations in metabolite concentrations, with ethanol being the most sensitive, followed by acetic acid and biomass. Despite these fluctuations, the microbial system displayed resilience, stabilizing once gas composition returned to normal levels. These insights underscored the adaptability and robustness of syngas fermentation systems, making them viable for industrial applications where gas composition variability is inevitable. The ability to tolerate moderate fluctuations offers opportunities to reduce gas pretreatment costs and process syngas from diverse sources, benefiting industries such as steel manufacturing, oil refining, and biomass gasification. Copyright © 2025 by Authors, Published by BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).</dc:description>
	<dc:publisher xml:lang="en-US">Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)</dc:publisher>
	<dc:date>2025-08-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://journal.bcrec.id/index.php/bcrec/article/view/20369</dc:identifier>
	<dc:identifier>10.9767/bcrec.20369</dc:identifier>
	<dc:source xml:lang="en-US">Bulletin of Chemical Reaction Engineering &amp; Catalysis; 2025: BCREC Volume 20 Issue 2 Year 2025 (August 2025); 331-345</dc:source>
	<dc:source>1978-2993</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.bcrec.id/index.php/bcrec/article/view/20369/9811</dc:relation>
	<dc:relation>https://journal.bcrec.id/index.php/bcrec/article/downloadSuppFile/20369/5659</dc:relation>
	<dc:relation>https://journal.bcrec.id/index.php/bcrec/article/downloadSuppFile/20369/5691</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 by Authors, Published by BCREC Publishing Group</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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