Multi-Model Predictive Control for SCR Denitrification Systems in Coal-Fired Power Plants Based on Hybrid Data-Driven and Model Ensemble
Author:
Affiliation:
1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University,Lanzhou,China
2. School of Mechanical Engineering, Lanzhou Jiaotong University,Lanzhou,China
3. Jinchang Power Generation Co., Ltd.,Gansu Power Investment,Jinchang,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451285.pdf?arnumber=10451285
Reference12 articles.
1. Optimized fluegas denitrification control strategy to enhance SCR performance during load-cycling transient processes in coal-fired power plants
2. Research and engineering application of high-efficiency low-NOx coordinated optimization system for coal-fired boilers based on Chinas new air pollution emission standards[J];Liang,2014
3. A rolling time-domain optimal control method for SCR system based on hierarchical controller[J];Sun;Journal of Jilin University (Engineering Edition),2023
4. Comparison and integration of ethylene cracking process models based on machine learning[J];Zhao;Journal of Tsinghua University (Natural Science Edition),2022
5. Adaptive modeling of selective catalytic reduction denitrification system based on selectively integrated model library[J];Rao,2019
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