Prediction of nitrogen oxides from coal combustion by using response surface methodology

In this paper, NOx emission prediction was studied. A simple model based on response surface methodology (RSM) was first put forward. Response surface models are multivariate polynomial models. Four RSM models were tried. The predicted NOx emission was compared with the measured ones. The RSM model with quadratic terms showed the best agreement with the measurement, and had the mean relative error of 1.6719%. The frequency of those samples whose relative error is less than 5% was 96.8610%. The RSM model was simpler than the non-analytic models such as generalized regression neural network and support vector regression. The present study will be an alternative to developing predictive emissions monitoring systems (PEMS).

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