Electric Field Driven Separation of Oil-water Mixtures: Model Development
Wallau, W, Patel, R, Mujtaba, I and Arellano-Garcia, H (2014) Electric Field Driven Separation of Oil-water Mixtures: Model Development In: 24th European Symposium on Computer Aided Process Engineering, 2014-06-15 - 2014-06-18, Budapest, Hungary.
Available under License : See the attached licence file.
Download (33kB) | Preview
Coalescence enhancement of water droplets in oil emulsions is commonly contemplated for the separation of an aqueous phase dispersed in a dielectric oil phase with a considerably lower dielectric constant than that of the dispersed phase. The characteristics and geometry of the electrode system have a large impact on the performance of an electrostatic coalescer and are actually strictly linked to the type of the applied electric field and the emulsion used. Furthermore, addition of chemicals and heating has also been revealed to further enhance the electrocoalescence of water droplets. In this work, the coalescence of two water drops sinking in a dielectric oil phase at an applied high voltage, pulsed dc electric field, in particular with regards to the effects of pressure and temperature on coalescence performance is investigated. The developed model should help to recognise and prove approaches to electrocoalescence mechanisms, the dispersion flow direction with respect to the applied electric field, as well as the electric field configuration.
|Item Type:||Conference or Workshop Item (Conference Paper)|
|Subjects :||Chemical Engineering|
|Divisions :||Faculty of Engineering and Physical Sciences > Chemical and Process Engineering|
|Date :||15 June 2014|
|Identification Number :||https://doi.org/10.1016/B978-0-444-63455-9.50104-5|
|Copyright Disclaimer :||Copyright © 2014 Elsevier B.V. All rights reserved.|
|Uncontrolled Keywords :||Modelling, Process analysis, Electrical field, Coalescence|
|Depositing User :||Symplectic Elements|
|Date Deposited :||30 Aug 2016 15:34|
|Last Modified :||30 Aug 2016 15:34|
Actions (login required)
Downloads per month over past year