Black powder source identification in a gas pipeline network based on a One-D model

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Abstract

Black Powder (BP) is a phenomenon experienced worldwide by transmission gas pipeline operators with internally uncoated lines. It can cause serious problems in pipeline operation and instruments, and contaminate customer supply. It is regenerative and forms inside natural gas pipelines due to corrosion of the internal walls of the pipeline and chemical reactions. The aim of the present study is to develop a novel algorithm for BP source identification within gas pipelines network based on a 1-D static model. The proposed identification method is based on the well-known Particle Swarm Optimization (PSO) algorithm, which is able to identify and quantify BP source at different junctions simultaneously. Extensive simulation results are given to illustrate the effectiveness of the proposed optimization algorithm for BP identification.

Original languageBritish English
Title of host publicationProceedings - 2017 IEEE Conference on Systems, Process and Control, ICSPC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-17
Number of pages6
ISBN (Electronic)9781538603864
DOIs
StatePublished - 2 Jul 2017
Event2017 IEEE Conference on Systems, Process and Control, ICSPC 2017 - Melaka, Malaysia
Duration: 15 Dec 201716 Dec 2017

Publication series

NameProceedings - 2017 IEEE Conference on Systems, Process and Control, ICSPC 2017
Volume2018-January

Conference

Conference2017 IEEE Conference on Systems, Process and Control, ICSPC 2017
Country/TerritoryMalaysia
CityMelaka
Period15/12/1716/12/17

Keywords

  • Black Powder
  • Gas Pipeline Network
  • Particle Swarm Optimization
  • Source Identification

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