Harshini Suresha

Advanced Biorefinery Strategies for Sustainable Biofuel Production

In-Silico Modeling

Year2024
LocationPES University
TagsMATLAB, Kinetic modelling, Bioethanol, Fermentation

MATLAB kinetic models of bioethanol fermentation by S. cerevisiae (Monod and Michaelis–Menten kinetics) for fruit residues, potato peels, bagasse and marine algae, alongside a review of 250+ studies.

Oct 2023 – Dec 2024 at PES University, supervised by Dr. Kavitha S H.

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Figure for Advanced Biorefinery Strategies for Sustainable Biofuel Production: In-Silico Modeling
Methods
  1. 01
    Kinetic models

    MATLAB simulations of bioethanol fermentation by Saccharomyces cerevisiae: microbial growth, substrate use, ethanol formation and product inhibition.

    MATLAB, Monod kinetics, Michaelis–Menten
  2. 02
    Mass balances

    Mass-balance equations with yield coefficients, maintenance terms and temperature-dependent growth and decay.

    ODE models
  3. 03
    Parameters

    Simulated at 30 °C with 220 kg/m³ initial glucose and 1.5 kg/m³ S. cerevisiae, tracking substrate, cell density, ethanol, temperature and pH.

    Parameter estimation
  4. 04
    Feedstocks

    Feedstock-specific models for mango, banana and pineapple residues, potato peels, sugarcane bagasse and the seaweed Saccharina latissima.

    Feedstock modelling
  5. 05
    Literature review

    Compared 250+ studies on feedstock composition, pre-treatment, hydrolysis, fermentation, yeast strains and reported yields.

    Systematic review
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