Title
Sensitivity analysis and identification of kinetic parameters in batch fermentation of glycerol
Abstract
A nonlinear dynamical system was established in our preceding work to describe the batch and continuous bioconversions of glycerol to 1,3-propanediol by Klebsiella pneumoniae. The purpose of this article is to analyze the sensitivity of kinetic parameters of the dynamical system and identify their values from experiment. A global sensitivity analysis approach is constructed by combining the local technique with the Monte Carlo method. With only those parameters of higher sensitivity as design variables, we propose a parameter identification model and solve it by a gradient-based simulated annealing algorithm. Numerical results show that our methods are feasible and efficient.
Year
DOI
Venue
2012
10.1016/j.cam.2011.11.015
J. Computational Applied Mathematics
Keywords
Field
DocType
design variable,higher sensitivity,batch fermentation,dynamical system,monte carlo method,continuous bioconversions,kinetic parameter,gradient-based simulated annealing algorithm,klebsiella pneumoniae,nonlinear dynamical system,global sensitivity analysis approach
Simulated annealing,Monte Carlo method,Mathematical optimization,Glycerol,Nonlinear dynamical systems,Global sensitivity analysis,Fermentation,Mathematics,Dynamical system,Kinetic energy
Journal
Volume
Issue
ISSN
236
9
0377-0427
Citations 
PageRank 
References 
4
0.46
4
Authors
5
Name
Order
Citations
PageRank
Juan Wang1272.60
Jianxiong Ye2183.74
Hongchao Yin3224.55
Enmin Feng411124.41
Lei Wang5115.06