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Three-Dimensional Numerical Modeling and Analysis for the Municipal Solid-Waste Incineration of the Grate Furnace for Particulate-Matter Generation

Author

Listed:
  • Yongqi Liang

    (Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
    Beijing Laboratory of Smart Environmental Protection, Beijing 100124, China)

  • Jian Tang

    (Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
    Beijing Laboratory of Smart Environmental Protection, Beijing 100124, China
    These authors contributed equally to this work.)

  • Heng Xia

    (Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
    Beijing Laboratory of Smart Environmental Protection, Beijing 100124, China)

  • Loai Aljerf

    (Key Laboratory of Organic Industries, Department of Chemistry, Faculty of Sciences, Damascus University, Damascus P.O. Box 30621, Syria
    These authors contributed equally to this work.)

  • Bingyin Gao

    (Beijing GaoAnTun Waste to Energy Co., Ltd., Beijing 100024, China)

  • Mulugeta Legesse Akele

    (Department of Chemistry, College of Natural and Computational Sciences, University of Gondar, Gondar P.O. Box 196, Ethiopia
    School of Chemistry, Faculty of Sciences, The University of Melbourne, Victoria 3010, Australia)

Abstract

A 3D numerical model of the municipal solid waste incineration (MSWI) process was constructed based on a grate furnace with a daily processing capacity of 800 tons. Fluent was used for analyzing key factors affecting the concentration and diffusion level of particulate matter (PM). According to the actual MSWI plant working condition, a 3D model of the incinerator and the waste heat boiler has been constructed under benchmarks. Key factors affecting PM generation were determined by combining mechanistic knowledge and experts’ experience. They were the combustion temperature of solid phase municipal solid waste (MSW), the wall’s PM collision mode, and the second baffle length. Subsequently, the process of resolving the 3D numerical model was delineated. Then, a univariate analysis of the aforementioned 3D model was conducted for the three pivotal factors mentioned above. Conclusively, the effect of the important factors on the number of particles at the outflow of the incinerator was analyzed via orthogonal experiments to obtain the optimal combination. PM concentration initially diminished and then rose with the increased combustion temperature of the solid-phase MSW. Furthermore, a noteworthy reduction in PM concentration was observed when the second baffle length was 12.45–12.95 m. The greatest influence on the PM concentration of the outlet was posed by the wall’s PM collision mode, followed by the second baffle length. The appropriate adjustment of the combustion temperature of the solid-phase MSW, selection of wall materials, and design of the second baffle length were beneficial for diminishing PM concentration and ensuring long-term stable operation of the MSWI process. The combinative optimality of the three key factors was acquired via orthogonal experiments, which proved the subsequent optimal control of PM concentration at the outlet.

Suggested Citation

  • Yongqi Liang & Jian Tang & Heng Xia & Loai Aljerf & Bingyin Gao & Mulugeta Legesse Akele, 2023. "Three-Dimensional Numerical Modeling and Analysis for the Municipal Solid-Waste Incineration of the Grate Furnace for Particulate-Matter Generation," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12337-:d:1216620
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    References listed on IDEAS

    as
    1. Xia, Zihong & Long, Jisheng & Yan, Shuai & Bai, Li & Du, Hailiang & Chen, Caixia, 2021. "Two-fluid simulation of moving grate waste incinerator: Comparison of 2D and 3D bed models," Energy, Elsevier, vol. 216(C).
    2. Zixue Luo & Wei Chen & Yue Wang & Qiang Cheng & Xiaohua Yuan & Zhigang Li & Junjie Yang, 2021. "Numerical Simulation of Combustion and Characteristics of Fly Ash and Slag in a “V-type” Waste Incinerator," Energies, MDPI, vol. 14(22), pages 1-12, November.
    3. Gu, Tianbao & Ma, Wenchao & Berning, Torsten & Guo, Zhenning & Andersson, Ronnie & Yin, Chungen, 2022. "Advanced simulation of a 750 t/d municipal solid waste grate boiler to better accommodate feedstock changes due to waste classification," Energy, Elsevier, vol. 254(PB).
    4. Hang Zhao & Yang Tian & Rong Wang & Rui Wang & Xiangfei Zeng & Feihua Yang & Zhaojia Wang & Mengjun Chen & Jiancheng Shu, 2021. "Seasonal Variation of the Mobility and Toxicity of Metals in Beijing’s Municipal Solid Waste Incineration Fly Ash," Sustainability, MDPI, vol. 13(12), pages 1-13, June.
    5. Qiao Liu & Qianhui Xu & Xin Shen & Bowei Chen & Sonia Sadeghian Esfahani, 2022. "The Mechanism of Household Waste Sorting Behaviour—A Study of Jiaxing, China," IJERPH, MDPI, vol. 19(4), pages 1-12, February.
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    2. Zhou, Yuekuan & Zheng, Siqian, 2024. "A co-simulated material-component-system-district framework for climate-adaption and sustainability transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).

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