Archivos suplementarios
Palabras clave
Distillation
Artificial Neural Networks
modelation
Start-up
destilación
redes neuronales artificiales
proceso de arranque
modelación
Cómo citar
Resumen
En la literatura existen pocos modelos rigurosos para describir el perfil de temperatura durante el periodo de puesta en marcha de las columnas de destilación. En este trabajo, se desarrolla un modelo empleando redes neurales de base radial con datos recolectados durante el período de puesta en marcha de una columna de destilación discontinua para la mezcla etanol y agua. El entrenamiento de la eficacia de la red neuronal se obtiene realizando un pre-procesamiento de las entradas y un cambio de escala. Para obtener el perfil de temperatura, se recolectan datos a lo largo de diferentes puntos de la columna, y los resultados se aplican a múltiples redes. Esto permite la construcción del perfil de temperatura en la columna hasta obtener un error cuadrático medio menor que los valores máximos establecidos durante el preprocesamiento (mse = 0,001) de las redes. Finalmente se obtiene un modelo que permite observar la transición en la columna desde el estado frío vacío hasta el estado estacionario, normalmente un desafío en los modelos convencionales.
Citas
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