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

被引：65
|
作者：
Li, K
Thompson, S
Peng, JX
机构：
[1] Queens Univ Belfast, Sch Elect & Elect Engn, Intelligent Syst & Control Grp, Belfast BT9 5AH, Antrim, North Ireland
[2] Queens Univ Belfast, Sch Mech & Mfg Engn, Belfast BT9 5AH, Antrim, North Ireland
来源：
CONTROL ENGINEERING PRACTICE | 2004年 / 12卷 / 06期
关键词：
NOx emission; power generation; modelling; identification; grey-box model;
D O I：
10.1016/S0967-0661(03)00171-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码：707 / 723
页数：17
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