Mechanistic simulation of batch acetone–butanol–ethanol (ABE) fermentation with in situ gas stripping using Aspen Plus™

Kwabena Darkwah, Sue E. Nokes, Jeffrey R. Seay, Barbara L. Knutson

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Process simulations of batch fermentations with in situ product separation traditionally decouple these interdependent steps by simulating a separate “steady state” continuous fermentation and separation units. In this study, an integrated batch fermentation and separation process was simulated for a model system of acetone–butanol–ethanol (ABE) fermentation with in situ gas stripping, such that the fermentation kinetics are linked in real-time to the gas stripping process. A time-dependent cell growth, substrate utilization, and product production is translated to an Aspen Plus batch reactor. This approach capitalizes on the phase equilibria calculations of Aspen Plus to predict the effect of stripping on the ABE fermentation kinetics. The product profiles of the integrated fermentation and separation are shown to be sensitive to gas flow rate, unlike separate steady state fermentation and separation simulations. This study demonstrates the importance of coupled fermentation and separation simulation approaches for the systematic analyses of unsteady state processes.

Original languageEnglish
Pages (from-to)1283-1294
Number of pages12
JournalBioprocess and Biosystems Engineering
Volume41
Issue number9
DOIs
StatePublished - Sep 1 2018

Bibliographical note

Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

Funding

This manuscript is based on the work funded by the USDA-NIFA Biomass Research and Development Initiative (BRDI # 68-3A75-7-608) and an NSF EPSCoR Track-2 RII, Award No. OIA1632854. The author declares that they have no conflict of interest. Acknowledgements This manuscript is based on the work funded by the USDA-NIFA Biomass Research and Development Initiative (BRDI # 68-3A75-7-608) and an NSF EPSCoR Track-2 RII, Award No. OIA1632854.

FundersFunder number
BRDI68-3A75-7-608
USDA NIFA Biomass Research and Development Initiative Program
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of ChinaOIA1632854, 1632854
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China
U.S. Department of AgricultureBRDI # 68-3A75-7-608
U.S. Department of Agriculture

    Keywords

    • Biochemical reactors
    • Cell growth model
    • Fermentation
    • In situ separation
    • Process simulation

    ASJC Scopus subject areas

    • Biotechnology
    • Bioengineering

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