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NOx Prediction for Deep Peaking Regulation of Circulating Fluidized Bed Units Based on Data-Driven
Power Generation Technology   Vol. 46, Issue 3, Pages: 627-636(2025)
Power Generation and Environmental Protection|Updated:2026-06-29
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    • NOx Prediction for Deep Peaking Regulation of Circulating Fluidized Bed Units Based on Data-Driven

    • “Researchers have proposed a data-driven NOx prediction model for deep peak shaving operation of circulating fluidized bed units. The whale optimization algorithm is used to optimize the parameters of long short-term memory neural networks. The model can accurately reflect the trend of NOx emissions under large-scale variable load operation of the unit, and has a good guiding role in the operation of on-site denitrification automatic control systems, providing a solution to the stability and economic problems of denitrification control systems.”
    • DOI:10.12096/j.2096-4528.pgt.23135    

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    • Revised:2024-06-27,

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Related Author

WU Yunfeng
LI Pengxiang
LU Bin
ZHU Hongsheng
XIE Shacan
WANG Tong
WANG Jiawei
WANG Tao

Related Institution

Xuzhou Combustion Control Research Institute Co., Ltd.
School of Energy, Power and Mechanical Engineering, North China Electric Power University, Changping District
School of Electric Power Engineering, South China University of Technology
Guangdong Yudean Zhanjiang Biomass Power Co., Ltd.
Department of Thermal Energy and Power Engineering, School of Energy and Power Engineering, Huazhong University of Science and Technology