Modeling of NO
x
Emissions from Oil Refinery Furnaces |
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Authors: | Benjamin J Mullins Roger D Braddock Igor E Agranovski |
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Institution: | (1) School of Environmental Engineering, Faculty of Environmental Sciences, Griffith University, Nathan, Queensland, Australia, 4111 |
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Abstract: | The current paper investigates the possibility of establishing an empirically based model for predicting the emission rate
of nitrogen oxides (NO
x
) from oil refinery furnaces, in order to continually track emissions with respect to environmental licence limits. Model
input data were collected by direct stack monitoring using an electrochemical cell NO
x
analyser, as well as a range of telemetry sensors to obtain refinery process parameters. Principal Component Analysis (PCA),
in conjunction with Partial Least Squares (PLS) regression was then used to build a series of models able to predict NO
x
emissions from the furnaces. The models produced were proven to be robust, with a relatively high accuracy, and are able
to predict NO
x
levels over the range of operating conditions which were sampled. It was found that due to structural/operational variations
a separate model is usually required for each furnace. The models can be integrated with the refinery operating system to
predict NO
x
emission rates on a continuous basis. Two models representing structurally different furnaces are considered in this paper.
This revised version was published online in July 2006 with corrections to the Cover Date. |
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Keywords: | air quality monitoring stack emission rate oxides of nitrogen principal component analysis |
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