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Multi-scale modeling for sustainable chemical production

Authors

  • Dr. Kai Zhuang,

    Corresponding author
    1. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
    • Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kogle Alle 6, DK-2930 Hørsholm, Denmark

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  • Bhavik R. Bakshi,

    1. William G. Lowrie Department of Chemical and Biomolecular Engineering, Ohio State University, 335A Koffolt Laboratories, Columbus, OH, USA
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  • Dr. Markus J. Herrgård

    1. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
    2. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kogle Alle 6, DK-2930 Hørsholm, Denmark
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Abstract

With recent advances in metabolic engineering, it is now technically possible to produce a wide portfolio of existing petrochemical products from biomass feedstock. In recent years, a number of modeling approaches have been developed to support the engineering and decision-making processes associated with the development and implementation of a sustainable biochemical industry. The temporal and spatial scales of modeling approaches for sustainable chemical production vary greatly, ranging from metabolic models that aid the design of fermentative microbial strains to material and monetary flow models that explore the ecological impacts of all economic activities. Research efforts that attempt to connect the models at different scales have been limited. Here, we review a number of existing modeling approaches and their applications at the scales of metabolism, bioreactor, overall process, chemical industry, economy, and ecosystem. In addition, we propose a multi-scale approach for integrating the existing models into a cohesive framework. The major benefit of this proposed framework is that the design and decision-making at each scale can be informed, guided, and constrained by simulations and predictions at every other scale. In addition, the development of this multi-scale framework would promote cohesive collaborations across multiple traditionally disconnected modeling disciplines to achieve sustainable chemical production.

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