Performance analysis of an air quality CFD model in complex environments: Numerical simulation and experimental validation with EMU observations

Kumar, Pramod; Feiz, Amir Ali

doi:10.1016/j.buildenv.2016.08.013

Cited by 6 publications

(1 citation statement)

References 29 publications

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“…We have used this information to analyze the quantitative differences between models (e.g. Kumar and Feiz 2016). Figures 5 and 6 display the 1-min averaged concentrations of SF 6 over the whole domain predicted by each model at certain times after the first puff release in each intensive operating period.…”

Section: Modelling Sf 6 Dispersion Patternsmentioning

confidence: 99%

UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part I: Comparison of Observed and Predicted Concentrations

Hernández-Ceballos

Hanna²,

Bianconi³

et al. 2019

Boundary-Layer Meteorol

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In a complex environment such as an urban area, accurate prediction of the atmospheric dispersion of airborne harmful materials such as radioactive substances is necessary for establishing response actions and assessing risk or damage. Given the variety of urban atmospheric dispersion models available, evaluation and inter-comparison exercises are vital for assessing quantitatively and qualitatively their capabilities and differences. To that end, the European Commission/Directorate General Joint Research Centre with support from the European Commission/Directorate General-Migration and Home Affairs, and with the contribution of the U.S. Defense Threat Reduction Agency, launched the Urban Dispersion INternational Evaluation Exercise (UDINEE) project. Within UDINEE, nine atmospheric dispersion models are evaluated and intercompared. Sulphur hexafluoride concentrations from puffs released near the ground during the Joint Urban 2003 (JU2003) field experiment are used in UDINEE to evaluate atmospheric dispersion models. The JU2003 experiment is chosen because UDINEE aims at the better understanding of modelling capabilities for radiological dispersal devices in urban areas, and the neutrally-buoyant puff releases performed in the JU2003 experiment are the closest scenario to this purpose. The present study evaluates the capability of models at simulating the presence and concentration levels of the tracer at sampling locations. The fraction of predicted concentrations and time-integrated concentrations within a factor-of-two of observations are less than 0.36 and 0.4 respectively. The analysis reveals an improvement in the performance of models by using time-varying inflow conditions. Since the simulation of the dispersion of puff release is particularly challenging, the results of UDINEE could constitute a benchmark for future model developments.

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Section: Modelling Sf 6 Dispersion Patternsmentioning

confidence: 99%

UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part I: Comparison of Observed and Predicted Concentrations

Hernández-Ceballos

Hanna²,

Bianconi³

et al. 2019

Boundary-Layer Meteorol

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3D numerical simulation of radionuclides atmospheric dispersion in Chinese nuclear safety regulation

Wang

Liao

et al. 2020

Asia-Pacific J Chem Eng

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For increasing the regulation accuracy and efficiency, commercial computational fluid dynamics (CFD) software Fluidyn‐PANACHE was induced to assist in the analysis of typical radionuclides atmospheric diffusion for the Chinese nuclear safety regulation. The atmospheric dispersion simulation system that used three‐dimensional CFD methods, combined three‐dimensional GIS, and multiple technical methods, such as boundary values calculation, body‐fitting mesh generation, and refinement, was established to simulate and discuss the local wind field characteristics, pollutant transportation, and spatial distribution patterns under spot or constant meteorological conditions following unsteady (real time) or steady methods, respectively. This method can be used to reasonably simulate the turbulent and circumferential flow around large cooling towers in the inland nuclear power plant, compensating the shortage in subtleness of the standard Gaussian model, as well as shortage in realizing multiwind direction simulation in the calculation by the traditional CFD model. The calculation results of annual average atmospheric dispersion factor under normal operation indicated the seasonal differences, with maximum average dispersion factor in autumn, which were consistent with those suggested by Gaussian mixture model. Consequently, it is reasonable to avoid refueling overhauling in autumn to diminish pollution. The CFD numerical simulation method, which has a high agreement with the results of physical tests such as wind tunnel test, provides a new reference for the nuclear safety review of inland nuclear facilities in China.

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CFD simulation of pollutant dispersion using anisotropic models: Application to an urban like environment under neutral and stable atmospheric conditions

Alam,

Nkenfack Soppi,

Feiz

et al. 2024

Atmospheric Environment

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Performance analysis of an air quality CFD model in complex environments: Numerical simulation and experimental validation with EMU observations

Cited by 6 publications

References 29 publications

UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part I: Comparison of Observed and Predicted Concentrations

UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part I: Comparison of Observed and Predicted Concentrations

3D numerical simulation of radionuclides atmospheric dispersion in Chinese nuclear safety regulation

CFD simulation of pollutant dispersion using anisotropic models: Application to an urban like environment under neutral and stable atmospheric conditions

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