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Synergistic optimization framework for the process synthesis and design of biorefineries

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Abstract

The conceptual process design of novel bioprocesses in biorefinery setups is an important task, which remains yet challenging due to several limitations. We propose a novel framework incorporating superstructure optimization and simulation-based optimization synergistically. In this context, several approaches for superstructure optimization based on different surrogate models can be deployed. By means of a case study, the framework is introduced and validated, and the different superstructure optimization approaches are benchmarked. The results indicate that even though surrogate-based optimization approaches alleviate the underlying computational issues, there remains a potential issue regarding their validation. The development of appropriate surrogate models, comprising the selection of surrogate type, sampling type, and size for training and cross-validation sets, are essential factors. Regarding this aspect, satisfactory validation metrics do not ensure a successful outcome from its embedded use in an optimization problem. Furthermore, the framework’s synergistic effects by sequentially performing superstructure optimization to determine candidate process topologies and simulation-based optimization to consolidate the process design under uncertainty offer an alternative and promising approach. These findings invite for a critical assessment of surrogate-based optimization approaches and point out the necessity of benchmarking to ensure consistency and quality of optimized solutions.

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Acknowledgements

The authors would like to express their gratitude to the Novo Nordisk Foundation (Grant No. NNF17SA0031362) for funding the Fermentation-Based Biomanufacturing Initiative of which this project is a part.

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  1. Process and Systems Engineering (PROSYS) Research Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark, 2800 Kgs., Lyngby, Denmark

    Nikolaus I. Vollmer, Krist V. Gernaey & Gürkan Sin

  2. Novo Nordisk A/S, 2880, Bagsværd, Denmark

    Resul Al

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  1. Nikolaus I. Vollmer
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Vollmer, N.I., Al, R., Gernaey, K.V. et al. Synergistic optimization framework for the process synthesis and design of biorefineries. Front. Chem. Sci. Eng. 16, 251–273 (2022). https://doi.org/10.1007/s11705-021-2071-9

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