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  4. Simulation of pipeline transport of carbon dioxide with impurities
 
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2023
Conference Paper
Title

Simulation of pipeline transport of carbon dioxide with impurities

Abstract
The transport of carbon dioxide through pipelines is one of the important components of Carbon dioxide Capture and Storage (CCS) systems that are currently being developed. If high flow rates are desired a transportation in the liquid or supercritical phase is to be preferred. For technical reasons, the transport must stay in that phase, without transitioning to the gaseous state. In this paper, a numerical simulation of the stationary process of carbon dioxide transport with impurities and phase transitions is considered. We use the Homogeneous Equilibrium Model (HEM) and the GERG-2008 thermodynamic equation of state to describe the transport parameters. The algorithms used allow to solve scenarios of carbon dioxide transport in the liquid or supercritical phase, with the detection of approaching the phase transition region. Convergence of the solution algorithms is analyzed in connection with fast and abrupt changes of the equation of state and the enthalpy function in the region of phase transitions.
Author(s)
Anvari, Mehrnaz
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Baldin, Anton  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Clees, Tanja  orcid-logo
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Klaassen, Bernhard  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Nikitin, Igor  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Nikitina, Lialia  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Pott, Sabine  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Mainwork
INFOCOMP 2023, Thirteenth International Conference on Advanced Communications and Computation  
Conference
International Conference on Advanced Communications and Computation 2023  
Link
Link
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
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