Journal Screenshot

International Journal of Academic Research in Accounting, Finance and Management Sciences

Open Access Journal

ISSN: 2225-8329

Research on Low Nitrogen Combustion Strategies For Integrated Information Control and Business of Power Plants in China

Siming Guo, Muthukumar Ramaswamy, Asif Mahbub Karim

http://dx.doi.org/10.6007/IJARAFMS/v14-i4/23550

Open access

This research examines the intelligent management strategy of the power plant's de-nitration system in order to address issues including the insufficient assessment of the intake NOx content and significant nonlinearity and inertia. To address the lag issue in the measurement of nitrogen oxide content at the intake port, a worldwide measurement calibration model is created. This model has a lower R2 and RMSE than the single regression prediction model. The MATLAB Simulink program is used to build the de-nitration system simulation platform, and the intelligent control approach is researched. According to the simulation results, intelligent control reduces the variation in output NOx concentration by 63.7%, whereas multi-model predictive control without inlet NOx correction reduces it by 40.6%.