Gas composition tracking in transient pipeline flow

Maciej Chaczykowski , Filip Sund , Paweł Zarodkiewicz , Sigmund Mongstad Hope


Tracking changes in gas composition in natural gas pipeline transport systems is becoming increasingly important to pipeline operators, since gas suppliers are shifting from long-term delivery contracts to shorter-term contracts, increasing delivery of gases from unconventional sources, and proposing to inject hydrogen and biomethane into the natural gas networks. The present study investigates two methods for tracking gas composition, one using a moving grid method, and one solving the advection equation using an implicit backward difference method. The methods were applied to a model of an onshore pipeline in the Polish transmission system, and a model of an offshore pipeline in the Norwegian transmission system. The differences between the measured and modeled compositions and transport times were investigated. Both methods reproduced the measured compositions and transport times well, with an error in total transport times of less than 2.0%. The implicit method was found to lose some of the finer details of the gas composition profiles due to numerical diffusion, while the moving grid method preserved the composition profiles.
Author Maciej Chaczykowski (FEE / DPEGHS)
Maciej Chaczykowski,,
- Department of Power Engineering and Gas Heating Systems
, Filip Sund - [Norges Teknisk-Naturvitenskapelige Universitet]
Filip Sund,,
, Paweł Zarodkiewicz - [Gas Transmission Operator GAZ-SYSTEM S.A.]
Paweł Zarodkiewicz,,
, Sigmund Mongstad Hope - [Polytec Research Institute]
Sigmund Mongstad Hope,,
Journal seriesJournal of Natural Gas Science and Engineering, ISSN 1875-5100
Issue year2018
Publication size in sheets0.5
Keywords in EnglishNatural gas pipeline, Transient non-isothermal flow, Gas quality tracking, Advective mass transport, Pipeline flow simulation, Implicit method
ASJC Classification2102 Energy Engineering and Power Technology
Languageen angielski
1-s2.0-S187551001830129X-main.pdf 1.49 MB
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 28-06-2020, ArticleFromJournal
Publication indicators Scopus Citations = 6; WoS Citations = 2; GS Citations = 8.0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.711; WoS Impact Factor: 2018 = 3.859 (2) - 2018=3.909 (5)
Citation count*8 (2020-07-24)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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