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

焚化 废物管理 环境科学 烟气 过程(计算) 智能决策支持系统 工艺工程 计算机科学 工程类 人工智能 操作系统
作者
Junyu Tao,Zaixin Li,Chao Chen,Rui Liang,Shuang Wu,Fawei Lin,Zhanjun Cheng,Beibei Yan,Guanyi Chen
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:935: 173082-173082 被引量:9
标识
DOI:10.1016/j.scitotenv.2024.173082
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 and monitoring instrumentation of intelligent MSWI technologies. By systematically summarizing current applications, this timely review offers valuable insights into the future upgrade of intelligent MSWI systems.

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