Abstract
In this paper NOx 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 NOx 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.
| Original language | English |
|---|---|
| Pages (from-to) | 707-723 |
| Number of pages | 17 |
| Journal | Control Engineering Practice |
| Volume | 12(6) |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 2004 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering