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首页> 外文期刊>Annals of nuclear energy >Site-targeted evaluation of SWIFT-RIMPUFF for local-scale air dispersion modeling around Sanmen nuclear power plant based on multi-scenario wind tunnel experiments
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Site-targeted evaluation of SWIFT-RIMPUFF for local-scale air dispersion modeling around Sanmen nuclear power plant based on multi-scenario wind tunnel experiments

机译:基于多场景风洞实验

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摘要

The SWIFT-RIMPUFF is composed of the Stationary Wind Fit and Turbulence model and the Riso Mesoscale PUFF model, which has explicit building modules for atmospheric dispersion modeling. A com-prehensive evaluation of SWIFT-RIMPUFF was performed to the vertical profiles of wind speed, horizontal wind and concentration fields based on six wind tunnel experiments of the Sanmen nuclear power plant site, where the topographies are featured with surrounding mountains, sea, and dense buildings. The results demonstrate that the simulated wind flows reproduce the detail distribution of both speed and direction, which agrees well with the observations in both the building area and diverse topographies. For the concentration fields, the biases of plume axes around the release position are visible in half of the scenarios, leading to inaccurate predictions of the highest observations. The global FAC2 (0.587), FB (0.172), and PCC (0.752) illustrate the capability of SWIFT-RIMPUFF for local-scale modeling at this site. (c) 2021 Elsevier Ltd. All rights reserved.
机译:Swift-Riving-Rivinguff由固定式风力配合和湍流模型和Riso Mescleve Puff模型组成,具有用于大气分散模拟的显式建筑模块。对Swift-Rippuff的COM-Prevence评估是基于Sanmen核电站六个风洞实验的风速,水平风和浓度场的垂直曲线,其中覆盖着周围的山脉,大海和茂密的建筑物。结果表明,模拟风流再现了两种速度和方向的细节分布,这与建筑面积和不同地形的观察相同。对于浓度字段,围绕释放位置周围的羽流轴的偏置在一半的场景中可见,导致最高观察的预测不准确。全局FAC2(0.587),FB(0.172)和PCC(0.752)说明了Swift-Rivinguff在本网站上的局部规模建模的能力。 (c)2021 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Annals of nuclear energy》 |2021年第12期|108593.1-108593.15|共15页
  • 作者单位

    Tsinghua Univ Key Lab Adv Reactor Engn & Safety Minist Educ Inst Nucl & New Energy Technol Collaborat Innovat Ctr Adv Nucl Energy Technol Beijing 100084 Peoples R China;

    Tsinghua Univ Key Lab Adv Reactor Engn & Safety Minist Educ Inst Nucl & New Energy Technol Collaborat Innovat Ctr Adv Nucl Energy Technol Beijing 100084 Peoples R China;

    Tsinghua Univ Key Lab Adv Reactor Engn & Safety Minist Educ Inst Nucl & New Energy Technol Collaborat Innovat Ctr Adv Nucl Energy Technol Beijing 100084 Peoples R China;

    Tsinghua Univ Key Lab Adv Reactor Engn & Safety Minist Educ Inst Nucl & New Energy Technol Collaborat Innovat Ctr Adv Nucl Energy Technol Beijing 100084 Peoples R China;

    Tsinghua Univ Key Lab Adv Reactor Engn & Safety Minist Educ Inst Nucl & New Energy Technol Collaborat Innovat Ctr Adv Nucl Energy Technol Beijing 100084 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Atmospheric dispersion modeling; Three-dimensional diagnosed wind field; Ground-level concentration prediction; Wind tunnel data validation;

    机译:大气分散建模;三维诊断风场;地层浓度预测;风洞数据验证;

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