A new online optimization method for boiler combustion system based on the data-driven technique and the case-based reasoning principle

Xu, Wentao; Huang, Yaji; Song, Siheng; Chen, Yuzhu; Cao, Gehan; Yu, Mengzhu; Chen, Bin; Zhang, Rongchu; Liu, Yuqing; Zou, Yiran

doi:10.1016/j.energy.2022.125508

Cited by 6 publications

(1 citation statement)

References 20 publications

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“…Single-objective [63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79][80] Multi-objective [81][82][83][84][85] (HJPSO) was proposed to adjust the gain of the boiler proportional-integral (PI) controller. After introducing Gauss and Cauchy mutation, the optimization ability of HJPSO was greatly enhanced, and better PI controller gain was obtained in the comparison of other PSO variants.…”

Section: Number Of Objectives Referencementioning

confidence: 99%

A Survey on Intelligent Optimization Approaches to Boiler Combustion Optimization

Liang¹,

Guo²,

Chen³

et al. 2023

CAAI Artificial Intelligence Research

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This paper reviews the researches on boiler combustion optimization, which is an important direction in the field of energy saving and emission reduction. Many methods have been used to deal with boiler combustion optimization, among which evolutionary computing (EC) techniques have recently gained much attention. However, the existing researches are not sufficiently focused and have not been summarized systematically. This has led to slow progress of research on boiler combustion optimization and has obstacles in the application. This paper introduces a comprehensive survey of the works of intelligent optimization algorithms in boiler combustion optimization and summarizes the contributions of different optimization algorithms. Finally, this paper discusses new research challenges and outlines future research directions, which can guide boiler combustion optimization to improve energy efficiency and reduce pollutant emission concentrations.

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