Validation of a model of gas and dense phase CO2 jet releases for carbon capture and storage application

被引:50
作者
Wareing, Christopher J. [1 ]
Fairweather, Michael [1 ]
Falle, Samuel A. E. G. [2 ]
Woolley, Robert M. [1 ]
机构
[1] Univ Leeds, Sch Proc Environm & Mat Engn, Leeds LS2 9JT, W Yorkshire, England
[2] Univ Leeds, Sch Math, Leeds LS2 9JT, W Yorkshire, England
关键词
CCS; Multi-phase flow; Experimental measurement; Mathematical modelling; Accidental releases; Atmospheric dispersion; ATMOSPHERIC DISPERSION; DIOXIDE; TRANSPORTATION; PREDICTIONS; TURBULENT; EQUATION;
D O I
10.1016/j.ijggc.2013.11.012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon capture and storage (CCS) presents a short-term option for significantly reducing the amount of carbon dioxide (CO2) released into the atmosphere and mitigating the effects of climate change. To this end, National Grid initiated a programme of research known as the COOLTRANS research programme. Part of this work involves the development of a mathematical model for predicting the near-field dispersion of CO2 following the puncture or rupture of a high pressure dense phase pipeline typical of those planned for transport usage in CCS. This article describes the validation of such a model against experimental data on dense phase and gas phase releases from high pressure pipes above ground. The two-component CO2 and air model has proved capable of accurately predicting the near-field dispersing structure of such releases, including the core and radial temperatures within the sonic jets formed. This has required a three-phase accurate equation of state for pure CO2, that also accounts for the latent heat of fusion, as well as a homogeneous relaxation model to allow the modelling of non-equilibrium conditions. The work described demonstrates the capability of the model to provide accurate predictions in the shock-containing near-field region. It provides the basis for developing robust pseudo source conditions for use in CFD studies of far-field dispersion and for use with the pragmatic models used in quantified risk analysis. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:254 / 271
页数:18
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