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Digital twin model for solid waste treatment in rotary kiln

  • Xi'an Jiaotong University
  • University of Queensland

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Article number125931
JournalApplied Thermal Engineering
Volume268
DOIs
StatePublished - 1 Jun 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Digital twin
  • Machine learning
  • Rotary kiln
  • Simulation

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