Resumen
A mathematical model is adjusted to mimic the operational data of an industrial brewery during the fermentation process. The model is composed of a set of nonlinear ordinary differential equations. The parameters of the model were estimated using the least-squares method and the Levenberg-Marquardt algorithm. Once the model is adjusted, stochastic simulations run for different temperature profiles which are obtained using a Latin-hypercube sampling strategy. The results show the impact of the temperature uncertainty on the fermentation sub-products responsible of the final products’ off-flavors.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | Computer Aided Chemical Engineering |
| Editorial | Elsevier B.V. |
| Páginas | 1351-1356 |
| Número de páginas | 6 |
| DOI | |
| Estado | Publicada - ene. 2021 |
| Publicado de forma externa | Sí |
Serie de la publicación
| Nombre | Computer Aided Chemical Engineering |
|---|---|
| Volumen | 50 |
| ISSN (versión impresa) | 1570-7946 |
Nota bibliográfica
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