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Numerical Simulation on Energy Saving of Ash Removal and Aided Blowing System in Power Plants Under Bayesian Optimization
Power Generation Technology   Vol. 47, Issue 3, Pages: 555-562(2026)
Intelligent Learning-Empowered Power Generation in New Power Systems|Updated:2026-08-17
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    • Numerical Simulation on Energy Saving of Ash Removal and Aided Blowing System in Power Plants Under Bayesian Optimization

    • “At present, the main methods for energy-saving research on ash removal systems are equipment renovation combined with numerical simulation analysis, but the timeliness is not high. This article introduces the research progress in the field of energy conservation in power plants. Researchers have established a parameter optimization system combining Bayesian optimization and CPFD to provide solutions to the problems of high energy consumption and long optimization cycles in ash removal systems.”
    • DOI:10.12096/j.2096-4528.pgt.260309    

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    • Revised:2025-06-25,

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Related Author

LI Kai
ZHANG Pingheng
MENG Zhihao
CAO Yunning
XU Yao
LIU Li
LI Lianming
DAI Chunxi

Related Institution

College of Energy Engineering, Zhejiang University
Jiaxing New Jies Thermal Power Co., Ltd.
Huaneng Yichun Thermal Power Co., Ltd.
School of Energy and Power Engineering, Northeast Electric Power University
School of Chemical Engineering and Technology, Xi’an Jiaotong University