A Survey on Intelligent Optimization Approaches to Boiler Combustion Optimization

作者：Jing Liang, Hao Guo, Ke Chen, Kunjie Yu, Caitong Yue, Yunpeng Ma · 发表于：CAAI Artificial Intelligence Research · 年份：2023 · DOI：10.26599/air.2023.9150014 · 被引用次数：8 · 研究领域：Energy Load and Power Forecasting、Building Energy and Comfort Optimization、Advanced Control Systems Optimization

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.