An interactive multi-objective optimization framework for sustainable design of bioprocesses

► An interactive multiobjective optimization strategy of bioprocess is proposed. ► An optimization tool based on proposed methodology is created. ► The created tool is applied for optimization of an l-lysine feed supplement plant. ► The results obtained show the viability of the proposed strategy. ►...

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Bibliographic Details
Published in:Computers & chemical engineering Vol. 43; pp. 10 - 22
Main Authors: Taras, Sandu, Woinaroschy, Alexandru
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 10.08.2012
Elsevier
Subjects:
Applied sciences
Biochemical processes
Biological and medical sciences
Bioreactors
Biotechnology
Component Object Model technology
Decision theory. Utility theory
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Interactive multi-objective optimization
l-Lysine
Mathematical programming
Mechanical engineering. Machine design
Methods. Procedures. Technologies
Operational research and scientific management
Operational research. Management science
Simulation
Various methods and equipments
Component Object Model technology
Simulation
l-Lysine
Biochemical processes
Interactive multi-objective optimization
Visualization
Decision making
Process planning
Multiobjective programming
Biochemistry
Software component
Sustainable development
Engineering design
Bioreactor
Lysine
Preference
Aminoacid
Graphical interface
Object oriented
Compiler optimization
L-Lysine
Simulator
Food supplement
ISSN:0098-1354, 1873-4375
Online Access:Get full text
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Description
Summary:► An interactive multiobjective optimization strategy of bioprocess is proposed. ► An optimization tool based on proposed methodology is created. ► The created tool is applied for optimization of an l-lysine feed supplement plant. ► The results obtained show the viability of the proposed strategy. ► We lay the foundation for development of a powerful optimization tools. Interactive multi-objective optimization methods have considerable advantages over the other multi-objective optimization methods and are well suited for biochemical engineering problems. Interactive optimization is a very complex task which requires appropriate software to handle multiple objectives, displaying intermediary results and allowing the decision maker to specify preferences for each iteration. The proposed strategy combines Matlab and SuperPro Designer simulator. This way, the SuperPro Designer simulator benefits from the available toolboxes, computation, and visualization advanced features of Matlab. By linking Matlab and SuperPro Designer simulator, an optimization loop is created. This allows an automatically and repeatedly bidirectional exchange of variables between optimization algorithm from Matlab and SuperPro Designer simulator. In order to fully automate the optimization process, software based on Component Object Module technology, which contains three friendly graphical interfaces, was created. The presented strategy is implemented for a l-lysine feed supplement plant, both economic and environmental objectives being considered.
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2012.04.011