Open AccessModelling and combustion optimization of coal-fired heating boiler based on thermal network
Author(s) -
Chao Chen,
Mao Jinhong,
Xinzhi Liu,
Si Tian,
Lijun Song
Publication year - 2021
Publication title -
thermal science/thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci2104133c
Subject(s) - boiler (water heating) , combustion , nox , process engineering , coal , coal fired , thermal power station , thermal efficiency , thermal , environmental science , nuclear engineering , computer science , waste management , engineering , thermodynamics , chemistry , physics , organic chemistry
Based on the thermal network and the MATLartificial 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 co?efficient 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.