Conference paper
Benchmarking of Surrogate Models for the Conceptual Process Design of Biorefineries
KT Consortium, Department of Chemical and Biochemical Engineering, Technical University of Denmark1
PROSYS - Process and Systems Engineering Centre, Department of Chemical and Biochemical Engineering, Technical University of Denmark2
Department of Chemical and Biochemical Engineering, Technical University of Denmark3
Novo Nordisk Foundation4
Surrogate models are an efficient method to expedite the process design by superstructure optimization. For their application in biorefineries’ process design, several surrogate models are benchmarked in a case study regarding their validation metrics and their performance in a reference superstructure optimization problem.
Despite good validation metrics for most surrogate models, their prediction quality in the superstructure optimization does not reflect this. For the use of surrogate models in superstructure optimization, the need for a profound assessment of options, and the possible use of dynamic sampling strategies become evident.
Language: | English |
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Publisher: | Elsevier |
Year: | 2021 |
Pages: | 475-480 |
Proceedings: | 31<sup>st</sup> European Symposium on Computer Aided Process Engineering |
Series: | Computer Aided Chemical Engineering |
ISSN: | 15707946 |
Types: | Conference paper |
DOI: | 10.1016/B978-0-323-88506-5.50075-9 |
ORCIDs: | Vollmer, Nikolaus I. and Sin, Gürkan |