Intelligent technologies powering clean incineration of municipal solid waste: A system review

被引:1
|
作者
Tao, Junyu [1 ]
Li, Zaixin [1 ]
Chen, Chao [2 ]
Liang, Rui [2 ]
Wu, Shuang [1 ]
Lin, Fawei [2 ]
Cheng, Zhanjun [2 ,3 ]
Yan, Beibei [2 ,3 ]
Chen, Guanyi [1 ,4 ,5 ]
机构
[1] Tianjin Univ Commerce, Sch Mech Engn, Interdisciplinary Innovat Lab Environm & Energy, Tianjin 300134, Peoples R China
[2] Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300350, Peoples R China
[3] Tianjin Engn Res Ctr Bio Gas Oil Technol, Tianjin Key Lab Biomass Wastes Utilizat, Tianjin 300072, Peoples R China
[4] Tibet Univ, Sch Ecol & Environm, Lhasa 850012, Peoples R China
[5] Tianjin Univ Commerce, Sch Mech Engn, Tianjin 300134, Peoples R China
基金
中国国家自然科学基金;
关键词
Municipal solid waste incineration; Intelligent control; Machine learning; Pollutant emissions; Optimization algorithms; NEURAL-NETWORK; NUMERICAL-SIMULATION; NOX EMISSIONS; FLUE-GAS; MSW INCINERATION; DIOXIN EMISSION; PREDICTION; GENERATION; COMBUSTION; BOILER;
D O I
10.1016/j.scitotenv.2024.173082
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cleanliness has been paramount for municipal solid waste incineration (MSWI) systems. In recent years, the rapid advancement of intelligent technologies has fostered unprecedented opportunities for enhancing the cleanliness of MSWI systems. This paper offers a review and analysis of cutting-edge intelligent technologies in MSWI, which include process monitoring, intelligent algorithms, combustion control, flue gas treatment, and particulate control. The objective is to summarize current applications of these techniques and to forecast future directions. Regarding process monitoring, intelligent image analysis has facilitated real-time tracking of combustion conditions. For intelligent algorithms, machine learning models have shown advantages in accurately forecasting key process parameters and pollutant concentrations. In terms of combustion control, intelligent systems have achieved consistent prediction and regulation of temperature, oxygen content, and other parameters. Intelligent monitoring and forecasting of carbon monoxide and dioxins for flue gas treatment have exhibited satisfactory performance. Concerning particulate control, multi-objective optimization facilitates the sustainable utilization of fly ash. Despite remarkable progress, challenges remain in improving process stability
引用
收藏
页数:16
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