TY - JOUR
TI - Modelling and combustion optimization of coal-fired heating boiler based on thermal network
AU - Chen Chao
AU - Mao Jinhong
AU - Liu Xinzhi
AU - Tian Shan
AU - Song Lijun
JN - Thermal Science
PY - 2021
VL - 25
IS - 4
SP - 3133
EP - 3140
PT - Article
AB - 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 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.