Comprehensive and Algorithmical Sequence Model for Atmospheric Gas Jet Dispersion Analysis 


Vol. 40,  No. 2, pp. 47-54, Apr.  2025
10.14341/JKOSOS.2025.40.2.47


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  Abstract

Gas jet dispersion analysis plays an important role in quantitative risk assessment and in the design of safety equipment, such as relief valves discharging gas to the atmosphere. However, reviewing theoretical studies for developing a jet dispersion analysis program is challenging, as most of the theories only present conceptual models consisting of simultaneous differential equations, without detailing the implementation procedures. Therefore, in this study, a procedural method for jet dispersion analysis was developed based on the bulk plume assumption, which offers a relatively straightforward conceptual framework. The method is a structured process that systematically solves the conservation equations of mass, energy, and momentum in response to air inflow and calculates key variables following the assumption that the gas state within the bulk plume is uniform. A detailed case study was conducted to present the analysis process using the proposed method, which will be useful for comparative verification in program development. Although the methodology presented in this paper is based on existing models, its effectiveness was reaffirmed through a comparison of results with those from a globally recognized software. This study is expected to facilitate the practical implementation of dispersion analysis programs and to spur the development of new application theories relevant to jet gas dispersion.

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  Cite this article

[IEEE Style]

윤익근, 단승규, 정호진, "Comprehensive and Algorithmical Sequence Model for Atmospheric Gas Jet Dispersion Analysis," Journal of the Korean Society of Safety, vol. 40, no. 2, pp. 47-54, 2025. DOI: 10.14341/JKOSOS.2025.40.2.47.

[ACM Style]

윤익근, 단승규, and 정호진. 2025. Comprehensive and Algorithmical Sequence Model for Atmospheric Gas Jet Dispersion Analysis. Journal of the Korean Society of Safety, 40, 2, (2025), 47-54. DOI: 10.14341/JKOSOS.2025.40.2.47.

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