2014
DOI: 10.1016/j.apenergy.2014.03.073
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Source strength and dispersion of CO2 releases from high-pressure pipelines: CFD model using real gas equation of state

Abstract: Transportation of CO2 in high-pressure pipelines forms a crucial link in the ever-increasing application of Carbon Capture and Storage (CCS) technologies. An unplanned release of CO2 from a pipeline presents a risk to human and animal populations and the environment. Therefore it is very important to develop a deeper understanding of the atmospheric dispersion of CO2 before the deployment of CO2 pipelines, to allow the appropriate safety precautions to be taken. This paper presents a two-stage Computational Fl… Show more

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Cited by 94 publications
(35 citation statements)
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“…On the other hand, dispersion modelling is space-consuming, requiring a large enough domain to allow the spread of the pollutant without the results being adversely affected by the boundary condition. For an overall CFD model including both the depressurisation and dispersion domains, the required computing time would be unacceptably long (Liu et al, 2014;Novembre et al, 2006). Therefore the problem was divided into three parts, as shown in Fig.…”
Section: Definition Of the Problemmentioning
confidence: 99%
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“…On the other hand, dispersion modelling is space-consuming, requiring a large enough domain to allow the spread of the pollutant without the results being adversely affected by the boundary condition. For an overall CFD model including both the depressurisation and dispersion domains, the required computing time would be unacceptably long (Liu et al, 2014;Novembre et al, 2006). Therefore the problem was divided into three parts, as shown in Fig.…”
Section: Definition Of the Problemmentioning
confidence: 99%
“…This requires precise modelling of the thermodynamic properties of CO 2 using a 'real gas' EOS (Liu et al, 2014). The first real gas EOS was developed by van der Waals in 1873 (van der Waals, 1873).…”
Section: Real Gas Model For Source Strength Predictionmentioning
confidence: 99%
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“…Further, the CFD model appears to under-predict the spreading rate of the jet. Liu et al (2014) (Woolley et al, 2013) and the COOLTRANS research programme (Wareing et al, 2014a). previously considered the validation of FLACS and ANSYS-CFX in the far-field for this application, using Leeds predictions for the near-field, albeit again modified for input into such commercial software.…”
Section: Introductionmentioning
confidence: 99%