PROIMI   05436
PLANTA PILOTO DE PROCESOS INDUSTRIALES MICROBIOLOGICOS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Mathematical Modelling for the Temperature Variation with Time in 500 L Stirred Tank Bioreactor with Heat Transfer System Consist in Jacket and Spiral Coil.
Autor/es:
SALINAS MARTÍN ANDRÉS; CORREA, CARLOS A.; NORA I PEROTTI
Lugar:
Buenos Aires
Reunión:
Congreso; VII Congreso Latinoamericano y III Congreso Argentino de Biotecnología, BIOLATINA 2006; 2006
Institución organizadora:
Foro Argentino deBiotecnología
Resumen:
73. MATHEMATICALL MODELLING OF THE TEMPERATURE VARIATION WITH TIME IN A 500 L STIRRED TANK BIOREACTOR WITH HEAT TRANSFER SYSTEM CONSISTING OF A JACKET AND A SPIRAL COIL *Salinas M. A.1,3, Correa C.2, Perotti N.1,31 Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Cátedra de Microbiología General e Industrial.2 Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Cátedra de Balances de Materia y Energía. 3 PROIMI-CONICET (Planta Piloto de Procesos Industriales Microbiológicos).Av. Belgrano y Pje. Caseros, San Miguel de Tucumán (CP 4000), Tucumán.msalinas@proimi.org.ar IntroductionBiotechnological processes require fast cooling processes after fermentation completion, because keeping the culture at process temperature can produce a set of undesirable effects.The objective of this study was to produce a mathematical model for the temperature variation with time, depicting the decrease of the temperature in 500 L stirred tank bioreactor with a heat transfer system consisting of a jacket/spiral coil. MethodsThe experiments were carried out in a 500 L stirred tank bioreactor with jacket and spiral coil under no cell growth condition. The air flow was 140 L/h. Agitation was provided by rushton turbine at 250 rpm. Cold Water with a flow rate of 48 L/min. was used to refrigerate. The cold water passes first trough the coil and then trough the jacket. Temperature measurement points were in the inlet and the outlet of the coil/jacket system and inside the bioreactor. ResultsThe mathematical model here developed, predicts the temperature variation with time in the bioreactor with very low error values. The difference between experimental values and model values are less than 1ºC. In the beginning of the cooling process the relative error was very low (less than 0.9%) and had a little increase with time. ConclusionsMechanically stirred tanks are widely used in bioprocessing. The design of the bioreactor must contemplate heat transfer, but this transfer sometimes is very complicate to calculate because of the geometry of the reactor. This mathematical modelling provides a powerful tool to predict the temperature variation and also the optimal refrigeration conditions.