Evaluation of optimization techniques for an extractive alcoholic fermentation process |
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Authors: | Aline C. da Costa Rubens Maciel Filho |
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Affiliation: | (1) DPQ/FEQ/UNICAMP, Cx. Postal 6066, 13081-970 Campinas, SP, Brizil |
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Abstract: | The mathematical optimization of a continuous alcoholic fermentation process combined with a flash column under vacuum was studied. The objective was to maximize % yield and productivity in the fermentor. The results using surface response analysis combined with modeling and simulation were compared withy those obtained when the problem was written as a nonlinear programming problem and was solved with a successive quadratic programming (SQP) technique. Two process models were evaluated when the process was optimized using the SQP technique. The first one is a deterministic model, whose kinetic parameters were experimentally determined as functions of the temperature, and the second is a statistical model obtained using the factorial design technique combined with simulation. Although the best result was the one obtained using the rigorous model, the values for productivity and % yield obtained using the simplified model are acceptable, and these models can be used when the development of a rigorous model is excessively difficult, slow, or expensive. |
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Keywords: | Extractive alcoholic fermentation optimization successive quadratic programming factorial design response surface methodology productivity |
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