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

Guanyi Chen; Guandong Chen; Jingwei Li; Queyi Pan; Daolun Liang; Jie Qiu; Xiqiang Zhao; Xiaojia Wang; Zhongshan Li; Xiangping Li; Xiaoling Ma; Shuang Wu; Yunan Sun

doi:10.1016/j.gerr.2024.100086

Green Energy and Resources ›› 2024, Vol. 2 ›› Issue (3) : 100086 DOI: 10.1016/j.gerr.2024.100086

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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

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^a School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China

^b Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin Engineering Research Center for Organic Wastes Safe Disposal and Energy Utilization, School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China

^c School of Ecology and Environment, Tibet University, Lhasa 850012, China

^d Shandong Engineering Laboratory for Solid Waste Green Materials, National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology of Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250014, China

^e Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China

^f School of Nuclear Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China

^g State Key Laboratory of Engines, Tianjin University, Tianjin, 300354, China

^h Lund Univ, Dept Phys, Combust Phys, Lund, Sweden

ⁱ College of Chemical and Biological Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, China

^j Birmingham Centre for Energy Storage, School of Chemical Engineering, University of Birmingham, Birmingham B15 2TT, UK

^*E-mail address: sunyunan@tjcu.edu.cn (Y. Sun).

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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 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.

Keywords

Blast furnace / Co-disposal / Heat and mass transfer / Pollution mechanism / Machine learning

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Guanyi Chen, Guandong Chen, Jingwei Li, Queyi Pan, Daolun Liang, Jie Qiu, Xiqiang Zhao, Xiaojia Wang, Zhongshan Li, Xiangping Li, Xiaoling Ma, Shuang Wu, Yunan Sun. Co-incineration of multiple inorganic solid wastes towards clean disposal: Heat and mass transfer modeling, pollutant generation, and machine learning based proportioning. Green Energy and Resources, 2024, 2(3): 100086 DOI:10.1016/j.gerr.2024.100086