2017
DOI: 10.1016/j.ijggc.2017.10.009
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Investigation of terrain effects on the consequence distance of CO 2 released from high-pressure pipelines

Abstract: Investigation of terrain effects on the consequence distance of CO2 released Investigation of terrain effects on the consequence distance of CO2 released from high-pressure pipelines from high-pressure pipelines

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Cited by 14 publications
(9 citation statements)
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References 32 publications
(40 reference statements)
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“…The CFX code was sensitive to the source condition, while FLACS was sensitive to solid CO 2 particle size. Liu et al [65] presented a CFD model to predict the atmospheric dispersion of CO 2 over complex terrains. ANSYS Fluent was used to carry out the simulations.…”
Section: Cfd Modelsmentioning
confidence: 99%
“…The CFX code was sensitive to the source condition, while FLACS was sensitive to solid CO 2 particle size. Liu et al [65] presented a CFD model to predict the atmospheric dispersion of CO 2 over complex terrains. ANSYS Fluent was used to carry out the simulations.…”
Section: Cfd Modelsmentioning
confidence: 99%
“…Hypothesising probabilities and consequences in the georisk sector is a far more contentious exercise than in the transportation sector where there are well-documented accident reports, case histories, and detailed autopsies (Barros et al, 2012). This said, risk assessment of leakage of CO 2 from pipelines can be a non-trial task; for example, recent research demonstrates the importance of ground topology in the vicinity of a release event (Liu et al, 2017).…”
Section: Leakage During Transportationmentioning
confidence: 99%
“…The model was corrected using measured CO2 values from experiments, but did not consider the change in temperature after CO2 leakage. Liu et al [4] developed a predictive model for heavy gas diffusion and expansion based on the P-R equation and the SST K-ω turbulence equation, but did not consider the transient phase or match experimental measurements well. Another study by Kang Li et al [5] developed a model that can predict the near-field multiphase flow dynamics and phase behavior after CO2 is released from a supercritical state, but did not consider suitable boundary conditions or match measured velocities well.…”
Section: Introdctionmentioning
confidence: 99%