Influence of AC interference on the cathodic protection potentials of pipelines: Towards a comprehensive picture

T. H. Shabangu, P. Shrivastava, B. T. Abe, K. B. Adedeji, P. A. Olubambi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

AC interference on metallic structures has been a major challenge to the operational services of utilities around the world. As a result of frequent installation of metallic pipelines in the energy utility corridor of transmission lines, AC interference problem is prominent. A major research area is the development of an optimum cathodic protection (CP) potential for protecting the pipeline in the presence of AC. In this study, an investigation on the influence of AC potential variation on the stability nature of some CP potentials was conducted using a small experimental test beds derived from the real situation of pipeline-power line right of way. A promising result was observed when a CP of -1150 mV is applied to the steel pipe specimen. At this CP potential, a better stability is observed, among other potentials, under the presence of the same varying AC voltages. Detailed graph is presented herein which could be useful for utility engineers.

Original languageEnglish
Title of host publication2017 IEEE AFRICON
Subtitle of host publicationScience, Technology and Innovation for Africa, AFRICON 2017
EditorsDarryn R. Cornish
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages597-602
Number of pages6
ISBN (Electronic)9781538627754
DOIs
Publication statusPublished - 3 Nov 2017
EventIEEE AFRICON 2017 - Cape Town, South Africa
Duration: 18 Sept 201720 Sept 2017

Publication series

Name2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017

Conference

ConferenceIEEE AFRICON 2017
Country/TerritorySouth Africa
CityCape Town
Period18/09/1720/09/17

Keywords

  • AC interference
  • CP potential
  • CP potential stability
  • Pipelines
  • Power lines

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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