Multiple Plunging Jet Aeration System And
Parameter Modelling By Neural Network And
Support Vector Machines
Author(s)
S. Deswal, D. V. S. Verma & M. Pal
Abstract
Plunging jet aeration systems provide a simple and inexpensive method of
supplying oxygen for wastewater treatment. Though numerous studies have been
reported on aeration with a single plunging jet, very few studies are available in
open literature on multiple plunging jet aeration systems. The present work is the
result of an extensive laboratory study carried out on single and multiple water
jets in vertical and inclined orientations, and different possible configurations of
the number and diameter of jets. The effect of single and multiple jets on overall
volumetric mass transfer coefficient (KLa) is studied by correlating it with kinetic
jet power per unit volume (P/V). It was found that KLa increases with an increase
in the number of jets, and also the performance of multiple jets improves with
increasing kinetic jet power per unit volume. Neural Network and Support
Vector Machine modelling techniques have been applied on the experimental
data to determine the significant jet parameters that govern the performance of
multiple plunging jets aeration system. Based on these parameters, an empirical
relationship for predicting the KLa has been proposed for which the correlation
coefficient and root mean square error are 0.96 and 3.27 respectively. Both the
modelling techniques have also been used for the prediction of KLa and have
been found to work well. The findings of these modelling techniques and
empirical relationship are expected to be quite useful in the development of an
efficient multiple plunging jets aeration system.
Keywords: aeration, multiple plunging jets, overall volumetric mass transfer
coefficient, kinetic jet power neural network, support vector machines.
Keywords
aeration, multiple plunging jets, overall volumetric mass transfer
coefficient, kinetic jet power neural network, support vector machines.
Related Book
Other papers in this volume
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