Open Science Research Excellence
%0 Journal Article
%A Elangeshwaran Pathmanathan and  Rosdiazli Ibrahim and  Vijanth Sagayan Asirvadam
%D 2011 
%J  International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 58, 2011
%T Development of NOx Emission Model for a Tangentially Fired Acid Incinerator
%V 58
%X This paper aims to develop a NOx emission model of
an acid gas incinerator using Nelder-Mead least squares support
vector regression (LS-SVR). Malaysia DOE is actively imposing the
Clean Air Regulation to mandate the installation of analytical
instrumentation known as Continuous Emission Monitoring System
(CEMS) to report emission level online to DOE . As a hardware
based analyzer, CEMS is expensive, maintenance intensive and often
unreliable. Therefore, software predictive technique is often
preferred and considered as a feasible alternative to replace the
CEMS for regulatory compliance. The LS-SVR model is built based
on the emissions from an acid gas incinerator that operates in a LNG
Complex. Simulated Annealing (SA) is first used to determine the
initial hyperparameters which are then further optimized based on the
performance of the model using Nelder-Mead simplex algorithm.
The LS-SVR model is shown to outperform a benchmark model
based on backpropagation neural networks (BPNN) in both training
and testing data.
%P 621 - 626