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An Analytically Based Pressurised Pipeline Decompression Model

Yi, J; Mahgerefteh, H; (2020) An Analytically Based Pressurised Pipeline Decompression Model. In: Proceedings of Hazards 30 Symposium Series. IChemE: Online. Green open access

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Abstract

This paper describes the fundamental extension of a computationally efficient analytical Vessel Blowdown Model (VBM) for simulating the transient outflow following the accidental failure of high-pressure pipelines transporting condensable gases or fluid mixtures. Based on the modification of the standard vessel discharge equations through incorporating additional mass and energy terms for the inflow, the extended model addresses the fundamental limitations of VBM in handling un-isolated releases and fluid/wall heat exchanges. The new model is successfully tested against the results obtained using an extensively validated but computationally demanding numerical model simulating the failure of a hypothetical pressurised methane pipeline. The validation tests include various puncture diameters, feed flow rates and pipe lengths producing a maximum disagreement of ±7 % between the two models’ predictions.

Type: Proceedings paper
Title: An Analytically Based Pressurised Pipeline Decompression Model
Event: Hazards 30
Location: Online
Dates: 26 November 2020 - 27 November 2020
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.icheme.org/career/events/hazards-30/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Pipeline Safety, Fluid flow modeling, Pipeline rupture safety assessment
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10117815
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