Modelling and prediction of NO_x emission in a coal-fired power generation plant

摘要

In this paper NO_x emissions modelling for real-time operation and control of a 200 MWe coal-fired power generation plant is studied. Three model types are compared. For the first model the fundamentals governing the NO_x formation mechanisms and a system identification technique are used to develop a grey-box model. Then a linear AutoRegressive model with exogenous inputs (ARX) model and a non-linear ARX model (NARX) are built. Operation plant data is used for modelling and validation. Model cross-validation tests show that the developed grey-box model is able to consistently produce better overall long-term prediction performance than the other two models.