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Co-incineration of multiple inorganic solid wastes towards clean disposal : Heat and mass transfer modeling, pollutant generation, and machine learning based proportioning

Chen, Guanyi ; Chen, Guandong ; Li, Jingwei ; Pan, Queyi ; Liang, Daolun ; Qiu, Jie ; Zhao, Xiqiang ; Wang, Xiaojia ; Li, Zhongshan LU and Li, Xiangping , et al. (2024) In Green Energy and Resources 2(3).
Abstract

The co-disposal of solid waste by industrial kilns is presently attracting increasing attention. In this study, we investigate the co-disposal of solid waste, i.e. converter ash (CA), sintered ash (SA), blast furnace bag ash (BA), and municipal solid waste incineration fly ash (MSWIFA), under simulated blast furnace ironmaking conditions. The results show that it is feasible to use blast furnace to treat MSWIFA, but the stability of temperature field should be controlled in the process of co-disposal. With the increase of temperature, the conversion rate of NO decreased to 16.4%, and ZnFe2O4 became the main mineral composition, accounting for 75.53%. Corresponding to the flue gas corrosion condition of solid waste... (More)

The co-disposal of solid waste by industrial kilns is presently attracting increasing attention. In this study, we investigate the co-disposal of solid waste, i.e. converter ash (CA), sintered ash (SA), blast furnace bag ash (BA), and municipal solid waste incineration fly ash (MSWIFA), under simulated blast furnace ironmaking conditions. The results show that it is feasible to use blast furnace to treat MSWIFA, but the stability of temperature field should be controlled in the process of co-disposal. With the increase of temperature, the conversion rate of NO decreased to 16.4%, and ZnFe2O4 became the main mineral composition, accounting for 75.53%. Corresponding to the flue gas corrosion condition of solid waste treatment, it is found that the corrosion resistance of the furnace material TH347H is better than 20G. Finally, based on the experimental data, the nested optimization algorithm of machine learning model is established to achieve the reverse output of optimal conditions. Overall, the study provides theoretical support and methodology guidance for the co-disposal of solid waste in blast furnaces in providing support for the further development of co-disposal of solid waste in industrial kilns.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Blast furnace, Co-disposal, Heat and mass transfer, Machine learning, Pollution mechanism
in
Green Energy and Resources
volume
2
issue
3
article number
100086
pages
14 pages
publisher
Elsevier
external identifiers
  • scopus:85202809038
DOI
10.1016/j.gerr.2024.100086
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 The Authors
id
e30dbf91-682b-40e8-a285-c6738c416f9a
date added to LUP
2024-10-27 16:51:43
date last changed
2025-04-04 14:41:40
@article{e30dbf91-682b-40e8-a285-c6738c416f9a,
  abstract     = {{<p>The co-disposal of solid waste by industrial kilns is presently attracting increasing attention. In this study, we investigate the co-disposal of solid waste, i.e. converter ash (CA), sintered ash (SA), blast furnace bag ash (BA), and municipal solid waste incineration fly ash (MSWIFA), under simulated blast furnace ironmaking conditions. The results show that it is feasible to use blast furnace to treat MSWIFA, but the stability of temperature field should be controlled in the process of co-disposal. With the increase of temperature, the conversion rate of NO decreased to 16.4%, and ZnFe<sub>2</sub>O<sub>4</sub> became the main mineral composition, accounting for 75.53%. Corresponding to the flue gas corrosion condition of solid waste treatment, it is found that the corrosion resistance of the furnace material TH347H is better than 20G. Finally, based on the experimental data, the nested optimization algorithm of machine learning model is established to achieve the reverse output of optimal conditions. Overall, the study provides theoretical support and methodology guidance for the co-disposal of solid waste in blast furnaces in providing support for the further development of co-disposal of solid waste in industrial kilns.</p>}},
  author       = {{Chen, Guanyi and Chen, Guandong and Li, Jingwei and Pan, Queyi and Liang, Daolun and Qiu, Jie and Zhao, Xiqiang and Wang, Xiaojia and Li, Zhongshan and Li, Xiangping and Ma, Xiaoling and Wu, Shuang and Sun, Yunan}},
  keywords     = {{Blast furnace; Co-disposal; Heat and mass transfer; Machine learning; Pollution mechanism}},
  language     = {{eng}},
  number       = {{3}},
  publisher    = {{Elsevier}},
  series       = {{Green Energy and Resources}},
  title        = {{Co-incineration of multiple inorganic solid wastes towards clean disposal : Heat and mass transfer modeling, pollutant generation, and machine learning based proportioning}},
  url          = {{http://dx.doi.org/10.1016/j.gerr.2024.100086}},
  doi          = {{10.1016/j.gerr.2024.100086}},
  volume       = {{2}},
  year         = {{2024}},
}