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

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 2 O 4 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. • Modeling analysis of heat and mass transfer process of co-disposal solid waste. • NO generation was inhibited in blast furnace. • After thermal treatment, ZnFe 2 O 4 becomes the main mineral. • TP347H is more resistant to flue gas corrosion than 20G. • The optimum processing conditions of solid waste disposal were calculated.

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Publication Details

Journal
Green Energy and Resources
Published
2024-08-23
DOI
https://doi.org/10.1016/j.gerr.2024.100086
Citations
5
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
1.47

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article

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

Shuang Wu, Daolun Liang, Yunan Sun, Zhongshan Li et al.
5 citations
Green Energy and Resources
Municipal Solid Waste Management
1.47
article

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

Shuang Wu, Daolun Liang, Yunan Sun, Zhongshan Li, Jie Qiu, Guandong Chen, Jingwei Li, Xiqiang Zhao, Xiaojia Wang, Xiangping Li, Guanyi Chen, Xiaoling Ma, Queyi Pan
article en
5 citations

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 ZnFe 2 O 4 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. • Modeling analysis of heat and mass transfer process of co-disposal solid waste. • NO generation was inhibited in blast furnace. • After thermal treatment, ZnFe 2 O 4 becomes the main mineral. • TP347H is more resistant to flue gas corrosion than 20G. • The optimum processing conditions of solid waste disposal were calculated.

Green Energy and ResourcesVol. 2(3)
Tianjin University of Commerce (CN), Tianjin University of Technology (CN), Tibet University (CN), Shandong University (CN), Tianjin University (CN), Lund University (SE), Southeast University (CN), University of Birmingham (GB), Shandong University of Science and Technology (CN), Xi'an Jiaotong University (CN)
Ministry of Science and Technology of the People's Republic of China, National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Municipal Solid Waste Management
1.47
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