Anaerobic tapered fluidized bed reactor for starch wastewater treatment andmodeling using multilayer perceptron neural network
RANGASAMY Parthiban , PVR Iyer , GANESAN Sekaran
DOI:
Received March 06, 2007,Revised June 03, 2007, Accepted , Available online
Volume 19,2007,Pages 1416-1423
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Anaerobic treatability of synthetic sago wastewater was investigated in a laboratory anaerobic tapered fluidized bed reactor (ATFBR)
with a mesoporous granular activated carbon (GAC) as a support material. The experimental protocol was defined to examine the effect
of the maximum organic loading rate (OLR), hydraulic retention time (HRT), the efficiency of the reactor and to report on its steadystate
performance. The reactor was subjected to a steady-state operation over a range of OLR up to 85.44 kg COD/(m3·d). The COD
removal efficiency was found to be 92% in the reactor while the biogas produced in the digester reached 25.38 m3/(m3·d) of the reactor.
With the increase of OLR from 83.7 kg COD/(m3·d), the COD removal e ciency decreased. Also an artificial neural network (ANN)
model using multilayer perceptron (MLP) has been developed for a system of two input variable and five output dependent variables.
For the training of the input-output data, the experimental values obtained have been used. The output parameters predicted have been
found to be much closer to the corresponding experimental ones and the model was validated for 30% of the untrained data. The mean
square error (MSE) was found to be only 0.0146.
