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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Vydáno v:	Bioprocess and biosystems engineering Ročník 41; číslo 3; s. 407 - 422
Hlavní autoři:	Liu, Ping, Liu, Xinggao, Zhang, Zeyin, Wang, Yalin, Yang, Chunhua, Gui, Weihua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2018 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
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Shrnutí:	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.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	1615-7591 1615-7605 1615-7605
DOI:	10.1007/s00449-017-1875-y