MODELLING AND COMBUSTION OPTIMIZATION OF COAL-FIRED HEATING BOILER BASED ON THERMAL NETWORK

被引：2
|
作者：
Chen, Chao [1 ]
Mao, Jinhong [2 ]
Liu, Xinzhi [2 ]
Tian, Shan [1 ]
Song, Lijun [1 ]
机构：
[1] Chengdu Univ Informat Technol, Coll Commun Engn, Chengdu, Peoples R China
[2] Air Force Early Warning Acad, Wuhan, Peoples R China
来源：
THERMAL SCIENCE | 2021年 / 25卷 / 04期
基金：
中国国家自然科学基金;
关键词：
power station boiler; thermal network; combustion optimization; NOx emissions; heating modelling; multi-objective optimization; PREDICTION;
D O I：
10.2298/TSCI2104133C
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Based on the thermal network and the MATLAB artificial intelligence toolkit, a combustion optimization hybrid modelling of a 300 MW coal-fired power station boiler is carried out. The boiler is optimized for combustion, and the weight coefficient method is used to convert the multi-objective optimization problem into a single-objective optimization problem. The results show that the relative error average absolute value of the boiler thermal efficiency and NOx emission mass concentration calibration samples are 0.142% and 1.790%, the model has good accuracy and generalization ability. The weight coefficient method can select the corresponding weight coefficient according to the actual situation, with the boiler thermal efficiency or NOx emission mass concentration as the optimization focus, which has certain guiding significance for combustion optimization.
引用
收藏
页码：3133 / 3140
页数：8
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