Portal de Periódicos da CAPES

Artigo Produção Nacional Revisado por pares

BIBTEX RIS

Evaluation of optimization techniques for parameter estimation: Application to ethanol fermentation considering the effect of temperature

2006; Elsevier BV; Volume: 41; Issue: 7 Linguagem: Inglês

10.1016/j.procbio.2006.02.009

1873-3298

Elmer Ccopa Rivera, Aline Carvalho da Costa, Daniel Ibraim Pires Atala, Francisco Maugeri, Maria Regina Wolf Maciel, Rubens Maciel Filho,

Microbial Metabolic Engineering and Bioproduction

Optimization techniques are evaluated to estimate the kinetic model parameters of batch fermentation process for ethanol production using Saccharomyces cerevisiae. Batch experimental observations at five temperatures (28, 31, 34, 37 and 40 °C) are used to formulate the parameter estimation problem. The potential of Quasi-Newton (QN) and Real-Coded Genetic Algorithm (RGA) to solve the estimation problem is considered to find out the optimal solution. Subsequently, the optimized parameters (μmax, Xmax, Pmax, Yx and Ypx) were characterized by correlation functions assuming temperature dependence. The kinetic models optimized by QN and RGA describe satisfactorily the batch fermentation process as demonstrated by the experimental results.