Low_NOx emission and high efficiency combustion optimization for opposed firing boiler BASED on intelligent algorithm

2018 International Conference on New Energy and Future Energy System

Han, Y.^1 ; Cai, B.^1 ; Liu, Y.J.^1 ; Yu, Y.L.^1 ; Gao, Z.P.^1 ; Sun, Y.B.^2

Inner Mongolia Electric Power Science and Research Institute, Hohhot-Inner-Mongolia

010020, China^1

Inner Mongolia Guohua Zhungeer Power Generation Co., Ltd., Ordos-Inner-Mongolia

010399, China^2

关键词: Boiler operations;    Combustion optimization;    Combustion simulations;    Intelligent Algorithms;    Low NOx combustions;    Low NOx emissions;    Non-linear relationships;    Optimization strategy;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/188/1/012002/pdf
DOI  :  10.1088/1755-1315/188/1/012002

来源: IOP

【 摘 要 】

On the basis of BP-GA algorithm for boiler efficiency and NOx emission concentration, a combustion simulation model was established. By learning the training samples based on low NOx combustion adjustment tests, the combustion simulation model can accurately map the nonlinear relationship between boiler operation parameters and boiler efficiency and NOx emission concentration. Genetic algorithm was used to obtain the optimization strategies to get the best boiler efficiency and NOx emission concentration, which provides guidance for the operation.