Mathematical simulation of ammonia gas release in a complex urban terrain using CFD and a statistical approach

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Abstract

Major accident prevention and preparedness involve the determination of a toxic substance expected or actual release dispersion in the atmosphere, i.e., mathematical modeling of liquid mechanics phenomena. Nowadays, statistical mathematical models are usually used to model simulations of emergency situations in facilities in urban areas or in industrial complexes. Numerical CFD codes have been used mostly for specialized and detailed spatial analyses of physical and chemical phenomena and situations in enclosed spaces. With increasing computing power, these models are beginning to be applied also to complex problems in open spaces, including chemical accidents. Statistical and dynamic models give different results as the principles of the two methods, and the quantity and types of input parameters are different. The article directly compares the results of simulations of accidental gaseous ammonia releases from an ice arena into a complex urban area, obtained from ALOHA 5.4.3 statistical model and ANSYS Fluent 13.0 numerical CFD model. Real meteorological data were used for the simulations. It emerged that the results of statistical and CFD models may differ radically. The CFD model provided better quality data for addressing accidents. Thanks to the accuracy and comprehensiveness of CFD models, increasing computing performance, and thus reduced time necessary to perform CFD analysis calculations, this approach is increasingly popular in technical and environmental problem solving, although statistical models are still widely used in land-use planning and general emergency preparedness. © 2013 WIT Press.

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APA

Kozubková, M., Bojko, M., Zavila, O., Danihelka, P., & Maléřová, L. (2013). Mathematical simulation of ammonia gas release in a complex urban terrain using CFD and a statistical approach. In WIT Transactions on the Built Environment (Vol. 134, pp. 759–770). https://doi.org/10.2495/SAFE130681

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