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Intelligent technologies powering clean incineration of municipal solid waste: A system review.
Tao, Junyu; Li, Zaixin; Chen, Chao; Liang, Rui; Wu, Shuang; Lin, Fawei; Cheng, Zhanjun; Yan, Beibei; Chen, Guanyi.
Afiliação
  • Tao J; Interdisciplinary Innovation Lab for Environment & Energy, School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China.
  • Li Z; Interdisciplinary Innovation Lab for Environment & Energy, School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China.
  • Chen C; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
  • Liang R; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
  • Wu S; Interdisciplinary Innovation Lab for Environment & Energy, School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China.
  • Lin F; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
  • Cheng Z; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China; Tianjin Key Lab of Biomass Wastes Utilization, Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China.
  • Yan B; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China; Tianjin Key Lab of Biomass Wastes Utilization, Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China.
  • Chen G; Interdisciplinary Innovation Lab for Environment & Energy, School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China; School of Ecology and Environment, Tibet University, Lhasa 850012, China. Electronic address: chengy@tjcu.edu.cn.
Sci Total Environ ; 935: 173082, 2024 Jul 20.
Article em En | MEDLINE | ID: mdl-38740220
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Holanda