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Computational and experimental study of an oil jet in crossflow: coupling population balance model with multifluid large eddy simulation

Published online by Cambridge University Press:  02 December 2021

Cosan Daskiran Open the ORCID record for Cosan Daskiran [Opens in a new window] ,
Fangda Cui Open the ORCID record for Fangda Cui [Opens in a new window] ,
Michel C. Boufadel Open the ORCID record for Michel C. Boufadel [Opens in a new window] ,
Ruixue Liu ,
Lin Zhao ,
Tamay Özgökmen ,
Scott Socolofsky Open the ORCID record for Scott Socolofsky [Opens in a new window]  and
Kenneth Lee
Cosan Daskiran
Affiliation:
Center for Natural Resources, Civil and Environmental Engineering Department, New Jersey Institute of Technology, Newark, NJ 07102, USA
Fangda Cui
Affiliation:
Center for Natural Resources, Civil and Environmental Engineering Department, New Jersey Institute of Technology, Newark, NJ 07102, USA
Michel C. Boufadel*
Affiliation:
Center for Natural Resources, Civil and Environmental Engineering Department, New Jersey Institute of Technology, Newark, NJ 07102, USA
Ruixue Liu
Affiliation:
Center for Natural Resources, Civil and Environmental Engineering Department, New Jersey Institute of Technology, Newark, NJ 07102, USA
Lin Zhao
Affiliation:
ExxonMobil Upstream Research Company, Houston, TX 77389, USA
Tamay Özgökmen
Affiliation:
Department of Ocean Sciences, University of Miami, Miami, FL 33149, USA
Scott Socolofsky
Affiliation:
Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843, USA
Kenneth Lee
Affiliation:
Department of Fisheries and Oceans, Dartmouth NS B2Y 4A2, Canada
*
†Email address for correspondence: [email protected]
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Abstract

Understanding the size of oil droplets released from a jet in crossflow is crucial for estimating the trajectory of hydrocarbons and the rates of oil biodegradation/dissolution in the water column. We present experimental results of an oil jet with a jet-to-crossflow velocity ratio of 9.3. The oil was released from a vertical pipe 25 mm in diameter with a Reynolds number of 25 000. We measured the size of oil droplets near the top and bottom boundaries of the plume using shadowgraph cameras and we also filmed the whole plume. In parallel, we developed a multifluid large eddy simulation model to simulate the plume and coupled it with our VDROP population balance model to compute the local droplet size. We accounted for the slip velocity of oil droplets in the momentum equation and in the volume fraction equation of oil through the local, mass-weighted average droplet rise velocity. The top and bottom boundaries of the plume were captured well in the simulation. Larger droplets shaped the upper boundary of the plume, and the mean droplet size increased with elevation across the plume, most likely due to the individual rise velocity of droplets. At the same elevation across the plume, the droplet size was smaller at the centre axis as compared with the side boundaries of the plume due to the formation of the counter-rotating vortex pair, which induced upward velocity at the centre axis and downward velocity near the sides of the plume.

JFM classification

Drops and Bubbles: Breakup/coalescence Drops and Bubbles: Drops Multiphase and Particle-laden Flows: Multiphase flow
Type
JFM Papers
Information
Journal of Fluid Mechanics , Volume 932 , 10 February 2022 , A15
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Copyright
© The Author(s), 2021. Published by Cambridge University Press

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Footnotes

‡

Work was completed while the author was a Postdoctoral Researcher at the New Jersey Institute of Technology.

References

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