Digital twin model for solid waste treatment in rotary kiln

• Rotary kiln model is developed for the solid waste treatment. • Digital twin model is developed by the numerical simulation and machine learning. • The prediction error of the digital twin platform is less than 5 %. • Digital twin platform is used for the effective control of pollution emission. The solid waste treatment in rotary kiln produces the problem of pollution emissions. The high reaction temperature and the complex product of combustion make it difficult to detect the pollution concentration variation in the rotary kiln. Thus, rotary kiln model is developed for the solid waste treatment. The fluid flow and emission characteristics of combustion in rotary kiln are analyzed by multi-physics field finite element method. The digital twin model for solid waste treatment in rotary kiln is developed by the numerical simulation and machine learning. The digital twin model accurately predicts the flue gas components (CO, CO 2 , H 2 O) concentration fields and provides data support for the operation parameter optimization of rotary kiln. It shows the prediction error of the digital twin platform for the 40t/d-60t/d industry rotary kiln is less than 5 %. The digital twin platform provides an alternative way to effectively control the pollution emission for the rotary kiln.

Authors

Publication Details

Journal
Applied Thermal Engineering
Published
2025-02-15
DOI
https://doi.org/10.1016/j.applthermaleng.2025.125931
Citations
2
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
1.37

Funders

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article

Digital twin model for solid waste treatment in rotary kiln

Yunsong Yu, Geoff Wang, Yuan Li, Pengfei Ma et al.
2 citations
Applied Thermal Engineering
Additive Manufacturing and 3D Printing Technologies
1.37
article

Digital twin model for solid waste treatment in rotary kiln

Yunsong Yu, Geoff Wang, Yuan Li, Pengfei Ma, Zaoxiao Zhang
article en
2 citations

Abstract

• Rotary kiln model is developed for the solid waste treatment. • Digital twin model is developed by the numerical simulation and machine learning. • The prediction error of the digital twin platform is less than 5 %. • Digital twin platform is used for the effective control of pollution emission. The solid waste treatment in rotary kiln produces the problem of pollution emissions. The high reaction temperature and the complex product of combustion make it difficult to detect the pollution concentration variation in the rotary kiln. Thus, rotary kiln model is developed for the solid waste treatment. The fluid flow and emission characteristics of combustion in rotary kiln are analyzed by multi-physics field finite element method. The digital twin model for solid waste treatment in rotary kiln is developed by the numerical simulation and machine learning. The digital twin model accurately predicts the flue gas components (CO, CO 2 , H 2 O) concentration fields and provides data support for the operation parameter optimization of rotary kiln. It shows the prediction error of the digital twin platform for the 40t/d-60t/d industry rotary kiln is less than 5 %. The digital twin platform provides an alternative way to effectively control the pollution emission for the rotary kiln.

Applied Thermal EngineeringVol. 268
National Natural Science Foundation of China, K. C. Wong Education Foundation
Clean water and sanitation
Openalex Percentile: Top 21%
Additive Manufacturing and 3D Printing Technologies
1.37
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Digital twin model for solid waste treatment in rotary kiln — Yunsong Yu, Geoff Wang, et al. · Applied Thermal Engineering (2025) | TGRS Research Map | TGRS