Wareing, CJ, Fairweather, M, Woolley, RM et al. (1 more author) (2015) Comparison of Numerical Predictions with CO2 Pipeline Release Datasets of Relevance to Carbon Capture and Storage Applications. In: AIP Conference Proceedings. 11th International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2015), 20-23 Mar 2015, Athens, Greece. American Institute of Physics (AIP)
Abstract
Predicting the correct multi-phase fluid flow behaviour during the discharge process in the near-field of sonic CO2 jets is of particular importance in assessing the risks associated with transport aspects of carbon capture and storage schemes, given the very different hazard profiles of CO2 in the gaseous and solid states. In this paper, we apply our state-of-the-art mathematical model implemented in an efficient computational method to available data. Compared to previous applications, an improved equation of state is used. We also compare to all the available data, rather than just subsets as previously, and demonstrate both the improved performance of the fluid flow model and the variation between the available datasets. The condensed phase fraction at the vent, puncture or rupture release point is revealed to be of key importance in understanding the near-field dispersion of sonic CO2.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 AIP Publishing LLC. This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. The following article appeared in Wareing, CJ, Fairweather, M, Woolley, RM and Falle, SAEG (2015) Comparison of Numerical Predictions with CO2 Pipeline Release Datasets of Relevance to Carbon Capture and Storage Applications. In: AIP Conference Proceedings. 11th International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2015), 20-23 Mar 2015, Athens, Greece. American Institute of Physics (AIP), and may be found at http://dx.doi.org/10.1063/1.4938799 Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Complex Fluids; Computational Fluid Dynamics; Multi-phase Flow |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) > Institute for Particle Science and Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Physics and Astronomy (Leeds) > Astrophysics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 May 2016 14:01 |
Last Modified: | 17 Jan 2018 17:19 |
Published Version: | http://dx.doi.org/10.1063/1.4938799 |
Status: | Published |
Publisher: | American Institute of Physics (AIP) |
Identification Number: | 10.1063/1.4938799 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:98618 |