IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p16129-d991538.html
   My bibliography  Save this article

Numerical Investigation of Fine Particulate Matter Aggregation and Removal by Water Spray Using Swirling Gas Flow

Author

Listed:
  • Jianghai Qian

    (Department of Fluid Mechanics, School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Junfeng Wang

    (Department of Fluid Mechanics, School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Hailong Liu

    (Department of Fluid Machinery, School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Haojie Xu

    (Department of Engineering Thermal Physics, School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

In this paper, a mathematical model based on the two-fluid frame model coupled with the population balance model which considers the aggregation of particles and droplets in detail for cyclonic spray dedusting is proposed. The model is applied to study the characteristics of multiphase flow field and the effects of the gas velocity, spray volume, and particle concentration on the removal efficiency. In addition, the simulation results are verified by the experimental data. The results suggest that the turbulence kinetic energy increases near the wall as the inlet velocity increases, and the spray region increases as the spray volume increases. This is conducive to turbulent mixing of the particles and droplets, and the agglomeration efficiency of the particles is improved, so the particle size increases, and the particle removal efficiency increases to 99.7% by simulation results are within the allowable range of error (about 99–99.5% in dedusting efficiency by experimental data). As the particle concentration increases, the particle removal efficiency initially increases, then decreases and reaches the highest value at 2 g/m 3 , which is due to the limited adsorption efficiency of the spray droplets. The results are helpful for providing a theoretical basis for spray to promote agglomeration of particles and improving the dust removal efficiency in the swirl field.

Suggested Citation

  • Jianghai Qian & Junfeng Wang & Hailong Liu & Haojie Xu, 2022. "Numerical Investigation of Fine Particulate Matter Aggregation and Removal by Water Spray Using Swirling Gas Flow," IJERPH, MDPI, vol. 19(23), pages 1-15, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16129-:d:991538
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/16129/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/23/16129/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pei Wang & Shuai Shen & Ling Zhou & Deyou Liu, 2019. "Turbulent Aggregation and Deposition Mechanism of Respirable Dust Pollutants under Wet Dedusting using a Two-Fluid Model with the Population Balance Method," IJERPH, MDPI, vol. 16(18), pages 1-20, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Duan, Xin-Yue & Xu, Man-Rui & Zhang, Tian-Peng & Li, Feng-Ming & Zhu, Chuan-Yong & Gong, Liang, 2023. "Numerical analysis of the flow and heat transfer characteristics of oil-gas-water three-phase fluid in corrugated plate heat exchanger," Energy, Elsevier, vol. 281(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16129-:d:991538. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.