Title | ||
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Sensitivity analysis and identification of kinetic parameters in batch fermentation of glycerol |
Abstract | ||
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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 Wang | 1 | 27 | 2.60 |
Jianxiong Ye | 2 | 18 | 3.74 |
Hongchao Yin | 3 | 22 | 4.55 |
Enmin Feng | 4 | 111 | 24.41 |
Lei Wang | 5 | 11 | 5.06 |