Digital twin model for solid waste treatment in rotary kiln

被引:0
|
作者
Li, Yuan [1 ]
Ma, Pengfei [1 ]
Yu, Yunsong [1 ]
Zhang, Zaoxiao [1 ,2 ]
Wang, Geoff G. X. [3 ]
机构
[1] Xi An Jiao Tong Univ, Sch Chem Engn & Technol, 28 West Xianning Rd, Xian 710049, Peoples R China
[2] Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, 28 West Xianning Rd, Xian 710049, Peoples R China
[3] Univ Queensland, Sch Chem Engn, St Lucia, Qld 4072, Australia
基金
中国国家自然科学基金;
关键词
Rotary kiln; Simulation; Machine learning; Digital twin; COMBUSTION; BIOMASS; EMISSIONS; DRIVEN; CO;
D O I
10.1016/j.applthermaleng.2025.125931
中图分类号
O414.1 [热力学];
学科分类号
摘要
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, CO2, H2O) 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.
引用
收藏
页数:13
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