Numerical Study of Near-Field Radionuclides Dispersion Around Barakah Power Plant During Postulated Accidental Release Scenarios

IF 2.6 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
Fatema Ali Almazrouei, Yacine Addad, Peter Rodgers
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引用次数: 0

Abstract

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.

假定意外释放情景下巴拉卡电厂周围近场放射性核素扩散的数值研究
本研究以福岛核灾难为背景,探讨核电厂事故的危害评估。它评估了惰性气体(如碘-131的释放)对环境的影响,认识到当前本地计算工具的局限性,特别是在准确预测近场色散方面。本研究利用计算流体力学(CFD)验证了该方法在预测建筑物周围污染物扩散方面的有效性。在测试的五种湍流模型中,滞后椭圆混合(Lag Elliptic Blending, EB) k-ε模型由于其在捕获流动动力学方面的优越性能而被认为是最适合模拟放射性污染物扩散的模型。这些发现强调了传统的高斯羽流模型在解释建筑物对扩散模式的影响方面的不足。值得注意的是,位于阿拉伯联合酋长国巴拉卡核设施周围的模拟显示,建筑物对假想裂缝产生的放射性污染物的轨迹有重大影响。因此,它提倡在仅仅依靠经典的高斯羽流模型来制定疏散计划时要谨慎,因为它们可能会忽略由于建筑物存在而导致的关键流动模式,这可能会导致对气体分布和沉积速率的扭曲评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Arabian Journal for Science and Engineering
Arabian Journal for Science and Engineering MULTIDISCIPLINARY SCIENCES-
CiteScore
5.70
自引率
3.40%
发文量
993
期刊介绍: King Fahd University of Petroleum & Minerals (KFUPM) partnered with Springer to publish the Arabian Journal for Science and Engineering (AJSE). AJSE, which has been published by KFUPM since 1975, is a recognized national, regional and international journal that provides a great opportunity for the dissemination of research advances from the Kingdom of Saudi Arabia, MENA and the world.
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