TY - JOUR
T1 - Numerical Study of Near-Field Radionuclides Dispersion Around Barakah Power Plant During Postulated Accidental Release Scenarios
AU - Almazrouei, Fatema Ali
AU - Addad, Yacine
AU - Rodgers, Peter
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2025/3
Y1 - 2025/3
N2 - This study explores the assessment of hazards arising from nuclear power plant incidents, informed by the Fukushima catastrophe. It evaluates the environmental impact of noble gases, such as iodine-131 releases, recognizing the limitations of current local computational tools, particularly in predicting near-field dispersion accurately. Utilizing computational fluid dynamics (CFD), this study validates this approach’s effectiveness in predicting pollutant dispersion around buildings. Among the five turbulence models tested, the Lag Elliptic Blending (EB) k-ε model emerges as the most suitable for simulating radioactive pollutant dispersion due to its superior performance in capturing flow dynamics. The findings underscore the inadequacy of traditional Gaussian plume models in accounting for the effects of buildings on dispersion patterns. Notably, simulations around the Barakah nuclear site located in the United Arab Emirates reveal the significant influence of buildings on the trajectory of radioactive pollutants from hypothetical cracks. Consequently, it advocates caution in relying solely on classical Gaussian plume models for evacuation plans, as they may overlook crucial flow patterns due to building presence, potentially leading to distorted assessments of gas distribution and deposition rates.
AB - This study explores the assessment of hazards arising from nuclear power plant incidents, informed by the Fukushima catastrophe. It evaluates the environmental impact of noble gases, such as iodine-131 releases, recognizing the limitations of current local computational tools, particularly in predicting near-field dispersion accurately. Utilizing computational fluid dynamics (CFD), this study validates this approach’s effectiveness in predicting pollutant dispersion around buildings. Among the five turbulence models tested, the Lag Elliptic Blending (EB) k-ε model emerges as the most suitable for simulating radioactive pollutant dispersion due to its superior performance in capturing flow dynamics. The findings underscore the inadequacy of traditional Gaussian plume models in accounting for the effects of buildings on dispersion patterns. Notably, simulations around the Barakah nuclear site located in the United Arab Emirates reveal the significant influence of buildings on the trajectory of radioactive pollutants from hypothetical cracks. Consequently, it advocates caution in relying solely on classical Gaussian plume models for evacuation plans, as they may overlook crucial flow patterns due to building presence, potentially leading to distorted assessments of gas distribution and deposition rates.
KW - Air pollution
KW - Atmospheric boundary layer
KW - RANS turbulence models validation
UR - https://www.scopus.com/pages/publications/86000372293
U2 - 10.1007/s13369-024-09734-8
DO - 10.1007/s13369-024-09734-8
M3 - Article
AN - SCOPUS:86000372293
SN - 2193-567X
VL - 50
SP - 3539
EP - 3561
JO - Arabian Journal for Science and Engineering
JF - Arabian Journal for Science and Engineering
IS - 5
M1 - 107625
ER -