Hydrogen-natural gas mixture leak detection using reduced order modelling

Transient pressure wave detection analysis to detect the location of leakage on a pipeline containinghydrogen-natural gas mixture is presented. The transient pressure wave is generated either by rapid or sudden closure of the downstream shut-off valve. The governing equations of unsteady, compressib...

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Main Authors: Saidina Amin, Norsarahaida, Subani, Norazlina, Baba, Galadima Agaie
Format: Article
Published: 2015
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Online Access:http://eprints.utm.my/id/eprint/60268/
http://dx.doi.org/10.11648/j.acm.20150403.16
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.602682022-04-07T01:31:16Z http://eprints.utm.my/id/eprint/60268/ Hydrogen-natural gas mixture leak detection using reduced order modelling Saidina Amin, Norsarahaida Subani, Norazlina Baba, Galadima Agaie QA Mathematics Transient pressure wave detection analysis to detect the location of leakage on a pipeline containinghydrogen-natural gas mixture is presented. The transient pressure wave is generated either by rapid or sudden closure of the downstream shut-off valve. The governing equations of unsteady, compressible and isothermal one-dimensional flow are solved using the reduced order modelling technique. The solutions obtained when the transient condition is generated using the rapid closure valve show good agreement with published results. When the sudden closure valve is considered, the transient pressure, celerity wave, mass flux and the amount of leak discharge are shown to increase when the hydrogen mass ratio is increased. The amount of leak discharge which is calculated based on the computed celerity and pressure waves is found to be dependent on the leak positions. 2015 Article PeerReviewed Saidina Amin, Norsarahaida and Subani, Norazlina and Baba, Galadima Agaie (2015) Hydrogen-natural gas mixture leak detection using reduced order modelling. Applied And Computational Mathematics, 4 (3). pp. 135-144. ISSN 2328-5605 http://dx.doi.org/10.11648/j.acm.20150403.16 DOI: 10.11648/j.acm.20150403.16
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Saidina Amin, Norsarahaida
Subani, Norazlina
Baba, Galadima Agaie
Hydrogen-natural gas mixture leak detection using reduced order modelling
description Transient pressure wave detection analysis to detect the location of leakage on a pipeline containinghydrogen-natural gas mixture is presented. The transient pressure wave is generated either by rapid or sudden closure of the downstream shut-off valve. The governing equations of unsteady, compressible and isothermal one-dimensional flow are solved using the reduced order modelling technique. The solutions obtained when the transient condition is generated using the rapid closure valve show good agreement with published results. When the sudden closure valve is considered, the transient pressure, celerity wave, mass flux and the amount of leak discharge are shown to increase when the hydrogen mass ratio is increased. The amount of leak discharge which is calculated based on the computed celerity and pressure waves is found to be dependent on the leak positions.
format Article
author Saidina Amin, Norsarahaida
Subani, Norazlina
Baba, Galadima Agaie
author_facet Saidina Amin, Norsarahaida
Subani, Norazlina
Baba, Galadima Agaie
author_sort Saidina Amin, Norsarahaida
title Hydrogen-natural gas mixture leak detection using reduced order modelling
title_short Hydrogen-natural gas mixture leak detection using reduced order modelling
title_full Hydrogen-natural gas mixture leak detection using reduced order modelling
title_fullStr Hydrogen-natural gas mixture leak detection using reduced order modelling
title_full_unstemmed Hydrogen-natural gas mixture leak detection using reduced order modelling
title_sort hydrogen-natural gas mixture leak detection using reduced order modelling
publishDate 2015
url http://eprints.utm.my/id/eprint/60268/
http://dx.doi.org/10.11648/j.acm.20150403.16
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