典型文献
Synergistic optimization framework for the process synthesis and design of biorefineries
文献摘要：
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 super-structure 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 computa-tional 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,satisfac-tory 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.
文献关键词：
中图分类号：
作者姓名：
Nikolaus I.Vollmer;Resul Al;Krist V.Gernaey;Gürkan Sin
作者机构：
Process and Systems Engineering (PROSYS) Research Center,Department of Chemical and Biochemical Engineering,Technical University of Denmark,2800 Kgs.Lyngby,Denmark;Novo Nordisk A/S,2880 Bagsv(ae)rd,Denmark
文献出处：
引用格式：
[1]Nikolaus I.Vollmer;Resul Al;Krist V.Gernaey;Gürkan Sin-.Synergistic optimization framework for the process synthesis and design of biorefineries)[J].化学科学与工程前沿,2022(02):251-273
A类：
biorefineries
B类：
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AB值：
0.609873
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