Research on Low Nitrogen Combustion Strategies For Integrated Information Control and Business of Power Plants in China
Year: 2024
Type: article
Abstract: 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%.
Authors: Siming Guo, Muthukumar Ramaswamy, Asif Mahbub Karim
Institution: Binary University of Management & Entrepreneurship
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404144691