Analytical and computational indoor shelter models for infiltration of carbon dioxide into buildings: comparison with experimental data

C. J. Lyons, J. M. Race, K. Adefila, B. Wetenhall, H. Aghajani, B. Aktas, H. F. Hopkins, P. Cleaver, J. Barnett

Research output: Contribution to journalArticle

Abstract

This paper describes two indoor shelter models – an analytical model and a Computational Fluid Dynamics (CFD) model - that can be used to predict the level of infiltration of carbon dioxide (CO2) into a building following a release from an onshore CO2 pipeline. The motivation behind the development of these models was to demonstrate that the effects of shelter should be considered as part of a Quantitative Risk Assessment (QRA) for CO2 pipeline infrastructure and to provide a methodology for considering the impact of a CO2 release on building occupants.A key component in the consequence modelling of a release from a CO2 pipeline is an infiltration model for CO2 into buildings which can describe the impact on people inside buildings during a release event. This paper describes the development of an analytical shelter model and a CFD model which are capable of predicting the change in internal concentration, temperature and toxic load within a single roomed building that is totally engulfed by a transient cloud of gaseous CO2. Application of the models is demonstrated by comparison with experimental measurements of CO2 accumulation in a building placed in the path of a drifting cloud of CO2. The analytical and CFD models are shown to make good predictions of the average change in internal concentration. Furthermore, it is demonstrated that the effects of shelter should be taken into account when conducting QRA assessments on CO2 pipelines.

LanguageEnglish
Article number102849
JournalInternational Journal of Greenhouse Gas Control
Early online date10 Oct 2019
DOIs
Publication statusE-pub ahead of print - 10 Oct 2019

Fingerprint

Infiltration
shelter
Carbon dioxide
infiltration
carbon dioxide
Pipelines
Dynamic models
Computational fluid dynamics
Risk assessment
computational fluid dynamics
risk assessment
Analytical models
comparison
infrastructure
methodology
Temperature
prediction
modeling

Keywords

  • CO dispersion
  • CO pipelines
  • consequence analysis
  • quantitative risk assessment
  • shelter model

Cite this

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title = "Analytical and computational indoor shelter models for infiltration of carbon dioxide into buildings: comparison with experimental data",
abstract = "This paper describes two indoor shelter models – an analytical model and a Computational Fluid Dynamics (CFD) model - that can be used to predict the level of infiltration of carbon dioxide (CO2) into a building following a release from an onshore CO2 pipeline. The motivation behind the development of these models was to demonstrate that the effects of shelter should be considered as part of a Quantitative Risk Assessment (QRA) for CO2 pipeline infrastructure and to provide a methodology for considering the impact of a CO2 release on building occupants.A key component in the consequence modelling of a release from a CO2 pipeline is an infiltration model for CO2 into buildings which can describe the impact on people inside buildings during a release event. This paper describes the development of an analytical shelter model and a CFD model which are capable of predicting the change in internal concentration, temperature and toxic load within a single roomed building that is totally engulfed by a transient cloud of gaseous CO2. Application of the models is demonstrated by comparison with experimental measurements of CO2 accumulation in a building placed in the path of a drifting cloud of CO2. The analytical and CFD models are shown to make good predictions of the average change in internal concentration. Furthermore, it is demonstrated that the effects of shelter should be taken into account when conducting QRA assessments on CO2 pipelines.",
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Analytical and computational indoor shelter models for infiltration of carbon dioxide into buildings : comparison with experimental data. / Lyons, C. J.; Race, J. M.; Adefila, K.; Wetenhall, B.; Aghajani, H.; Aktas, B.; Hopkins, H. F.; Cleaver, P.; Barnett, J.

In: International Journal of Greenhouse Gas Control , 10.10.2019.

Research output: Contribution to journalArticle

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AU - Aghajani, H.

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AU - Hopkins, H. F.

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