Production optimization for concentration and volume-limited fed-batch reactors in biochemical processes

Since a very slight violation of constraint could cause process safety and product quality problems in biochemical processes, an adaptive approach of fed-batch reactor production optimization that can strictly satisfy constraints over the entire operating time is presented. In this approach, an impr...

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Bibliographic Details
Published in:Bioprocess and biosystems engineering Vol. 41; no. 3; pp. 407 - 422
Main Authors: Liu, Ping, Liu, Xinggao, Zhang, Zeyin, Wang, Yalin, Yang, Chunhua, Gui, Weihua
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2018
Springer Nature B.V
Subjects:
Batch culture
Batch reactors
biochemical pathways
Biochemistry
Bioengineering
Biotechnology
Chemistry
Chemistry and Materials Science
Environmental Engineering/Biotechnology
Ethanol
Food Science
Industrial and Production Engineering
Industrial Chemistry/Chemical Engineering
manufacturing
Nuclear engineering
Nuclear safety
Optimization
Parameterization
Penicillin
penicillins
Performance indices
product quality
Product safety
Reactors
Research Paper
Inequality constraints
Fed-batch reactor
Penalty method
Dynamic optimization
Smooth function
ISSN:1615-7591, 1615-7605, 1615-7605
Online Access:Get full text
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Summary:Since a very slight violation of constraint could cause process safety and product quality problems in biochemical processes, an adaptive approach of fed-batch reactor production optimization that can strictly satisfy constraints over the entire operating time is presented. In this approach, an improved smooth function is proposed such that the inequality constraints can be transformed into smooth constraints. Based on this, only an auxiliary state is needed to monitor violations in the augmented performance index. Combined with control variable parameterization (CVP), the dynamic optimization is executed and constraint violations are examined by calculating the sensitivities of states to ensure that the inequality constraints are satisfied everywhere inside the time interval. Three biochemical production optimization problems, including the manufacturing of ethanol, penicillin and protein, are tested as illustrations. Meanwhile, comparisons with pure penalty CVP method, famous dynamic optimization toolbox DOTcvp and literature results are carried out. Research results show that the proposed method achieves better performances in terms of optimization accuracy and computation cost.
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ISSN:1615-7591
1615-7605
1615-7605
DOI:10.1007/s00449-017-1875-y