Brown, S. orcid.org/0000-0001-8229-8004, Peristeras, L.D., Martynov, S. et al. (6 more authors) (2016) Thermodynamic interpolation for the simulation of two-phase flow of non-ideal mixtures. Computers & Chemical Engineering, 95. C. pp. 49-57. ISSN 0098-1354
Abstract
This paper describes the development and application of a technique for the rapid interpolation of thermodynamic properties of mixtures for the purposes of simulating two-phase flow. The technique is based on adaptive inverse interpolation and can be applied to any Equation of State and multicomponent mixture. Following analysis of its accuracy, the method is coupled with a two-phase flow model, based on the homogeneous equilibrium mixture assumption, and applied to the simulation of flows of carbon dioxide (CO2) rich mixtures. This coupled flow model is used to simulate the experimental decompression of binary and quinternary mixtures. It is found that the predictions are in good agreement with the experimental data and that the interpolation approach provides a flexible, robust means of obtaining thermodynamic properties for use in flow models.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier. This is an author produced version of a paper subsequently published in Computers and Chemical Engineering. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Carbon dioxide transport; Two-phase flow; Equations of state; Pipeline safety |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Nov 2016 11:54 |
Last Modified: | 13 Sep 2017 13:29 |
Published Version: | http://doi.org/10.1016/j.compchemeng.2016.09.005 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.compchemeng.2016.09.005 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108114 |