A new on-line combustion optimization approach for ultra-supercritical coal-fired boiler to improve boiler efficiency, reduce NOx emission and enhance operating safety

Xu, Wentao; Huang, Yaji; Song, Siheng; Yue, Junfeng; Chen, Bo; Liu, Yuqing; Zou, Yiran

doi:10.1016/j.energy.2023.128748

Energy

2023

DOI: 10.1016/j.energy.2023.128748

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A new on-line combustion optimization approach for ultra-supercritical coal-fired boiler to improve boiler efficiency, reduce NOx emission and enhance operating safety

Wentao Xu,

Yaji Huang,

Siheng Song

et al.

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Cited by 3 publications

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On-line combustion optimization framework for coal-fired boiler combining improved cultural algorithm, deep learning, multi-objective evolutionary algorithm with improved case-based reasoning technology

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2024

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A new on-line combustion optimization approach for ultra-supercritical coal-fired boiler to improve boiler efficiency, reduce NOx emission and enhance operating safety

Cited by 3 publications

References 31 publications

Failure case study on reheater pipes in a subcritical unit served for a thermal power plant

Failure case study on reheater pipes in a subcritical unit served for a thermal power plant

On-line combustion optimization framework for coal-fired boiler combining improved cultural algorithm, deep learning, multi-objective evolutionary algorithm with improved case-based reasoning technology

A physics-informed neural network that considers monotonic relationships for predicting NO emissions from coal-fired boilers

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