Process Simulation of Impurity Impacts on CO2 Fluids Flowing in Pipelines
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2019-12-10Keyword
CO2 impuritiesCO2 pipelines
Impact of impurities
CO2 pressure drop
CO2 phase envelope
Binary CO2 fluids
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© 2019 Elsevier. Reproduced in accordance with the publisher's self-archiving policy.Peer-Reviewed
YesOpen Access status
openAccessAccepted for publication
2019-08-22
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Captured carbon dioxide flowing in pipelines is impure. The impurities contained in the carbon dioxide fluid impact on the properties of the fluid. The impact of each impurity has not been adequately studied and fully understood. In this study, binary mixtures containing carbon dioxide and one impurity, at the maximum permitted concentration, flowing in pipelines are studied to understand their impact on pipeline performance. A hypothetical 70 km uninsulated pipeline is assumed and simulated using Aspen HYSYS (v.10) and gPROMS (v.5.1.1). The mass flow rate is 2,200,600 kg/h; the internal and external diameters are 0.711 m and 0.785 m. 15 MPa and 9 MPa were assumed as inlet and minimum pressures and 33 oC as the inlet temperature, to ensure that the fluid remain in the dense (subcritical or supercritical) phase. Each binary fluid is studied at the maximum allowable concentration and deviations from pure carbon dioxide at the same conditions is determined. These deviations were graded to rank the impurities in order of the degree of impact on each parameter. All impurities had at least one negative impact on carbon dioxide fluid flow. Nitrogen with the highest concentration (10-mol %) had the worst impact on pressure loss (in horizontal pipeline), density, and critical pressure. Hydrogen sulphide (with 1.5-mol %) had the least impact, hardly changing the thermodynamic properties of pure carbon dioxide.Version
Accepted manuscriptCitation
Peletiri SP, Mujtaba IM and Rahmanian N (2019) Process Simulation of Impurity Impacts on CO2 Fluids Flowing in Pipelines. Journal of Cleaner Production. 240: 118145.Link to Version of Record
https://doi.org/10.1016/j.jclepro.2019.118145Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1016/j.jclepro.2019.118145