Skip to main content
Kent Academic Repository

Localization of CO2 leakage from transportation pipelines through low frequency acoustic emission detection

Cui, Xiwang, Yan, Yong, Ma, Yifan, Ma, Lin, Han, Xiaojuan (2016) Localization of CO2 leakage from transportation pipelines through low frequency acoustic emission detection. Sensors and Actuators A: Physical, 237 . pp. 107-118. ISSN 0924-4247. (doi:10.1016/j.sna.2015.11.029) (KAR id:53824)

PDF Author's Accepted Manuscript
Language: English


Download this file
(PDF/1MB)
[thumbnail of Localization of CO2 leakage from transportation pipelines through low frequency acoustic emission detection.pdf]
Request a format suitable for use with assistive technology e.g. a screenreader
PDF Author's Accepted Manuscript
Language: English

Restricted to Repository staff only
[thumbnail of Localization of CO2 leakage from transportation pipelines through low frequency acoustic emission detection.pdf]
Official URL:
http://doi.org/10.1016/j.sna.2015.11.029

Abstract

Carbon Capture and Storage is a technology to reduce greenhouse gas emissions. CO2 leak from high pressure CO2 transportation pipelines can pose a significant threat to the safety and health of the people living in the vicinity of the pipelines. This paper presents a technique for the efficient localization of CO2 leakage in the transportation pipelines using acoustic emission method with low frequency and narrow band sensors. Experimental tests were carried out on a lab scale test rig releasing CO2 from a stainless steel pipe. Further, the characteristics of the acoustic emission signals are analyzed in both the time and the frequency domains. The impact of using the transverse wave speed and the longitudinal wave speed on the accuracy of the leak localization is investigated. Since the acoustic signals are expected to be attenuated and dispersed when propagating along the pipe, empirical mode decomposition, signal reconstruction and a data fusion method are employed in order to extract high quality data for accurate localization of the leak source. It is demonstrated that a localization error of approximately 5% is achievable with the proposed detecting system.

Item Type: Article
DOI/Identification number: 10.1016/j.sna.2015.11.029
Uncontrolled keywords: CO2; Leak localization; Acoustic emission; Empirical mode decomposition
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 22 Jan 2016 11:53 UTC
Last Modified: 17 Aug 2022 12:20 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/53824 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.