IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i4p927-d322559.html
   My bibliography  Save this article

Analysis of the Influencing Factors on Oil Removal Efficiency in Large-Scale Flotation Tanks: Experimental Observation and Numerical Simulation

Author

Listed:
  • Qian Huang

    (School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)

  • Xueyuan Long

    (School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)

Abstract

A modified computational fluid dynamic (CFD) model has been developed to obtain oil removal efficiency for oily wastewater treatment in large-scale flotation tanks. According to the investigation of oil droplet/bubble interactions in a flotation tank, a modified Bloom–Heindel model is used to calculate the collision and attachment efficiencies between oil droplets and bubbles. Effects of the gas flow rate, oil diameter and oil concentration on oil removal efficiency of flotation tank were analyzed experimentally. The application scope of this modified CFD model is evaluated using experimental results. In addition, the comparison between the existing model and the modified model demonstrates that this modified CFD model can make a good prediction for the separation performance of the flotation tank.

Suggested Citation

  • Qian Huang & Xueyuan Long, 2020. "Analysis of the Influencing Factors on Oil Removal Efficiency in Large-Scale Flotation Tanks: Experimental Observation and Numerical Simulation," Energies, MDPI, vol. 13(4), pages 1-14, February.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:927-:d:322559
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/4/927/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/4/927/
    Download Restriction: no
    ---><---

    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:jeners:v:13:y:2020:i:4:p:927-:d:322559. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.