Numerical evaluation of thermal comfort using a large eddy lattice Boltzmann method
Numerical evaluation of thermal comfort using a large eddy lattice Boltzmann method
复制标题
大涡格玻尔兹曼法热舒适性数值评价
DOI：
10.1016/j.buildenv.2021.107618
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发表时间：
2021
影响因子：
7.4
通讯作者：
M. Krause
中科院分区：
文献类型：
--
作者：
M. Siodlaczek;Maximilian Gaedtke;Stephan Simonis;M. Schweiker;Naohiko Homma;M. Krause
对温度和风速分布的详细数值分析对于评估广泛应用中的热舒适性是相关的。到目前为止，主要使用基于雷诺平均的N-S方程(RAN)的模拟，其中湍流的起伏和各向异性被描述得不够精确。本文采用热大涡格子Boltzmann方法(LES-LBM)作为一种高效、准确的湍流暂态模拟方法。以人体热舒适性评价的基准案例人体热损失为研究对象，将预测平均投票(PMV)模型应用于热感觉评价。对风速、温度场和PMV的模拟结果与实验结果和RANS模拟结果吻合较好。通过考虑浮力和进水口播撒，进一步提高了模拟的精度和模型质量。这表明对本模型的评价是成功的，从而提供了更多的瞬变流场数据。然而，获得的暂态流场数据激励了未来以目前的方式研究热舒适性的工作。研究波动对热舒适性的影响以及将其应用于更复杂的问题似乎很有前途。
Detailed numerical analyses of temperature and air velocity distributions are relevant to assess thermal comfort in a wide range of applications. Until now mainly simulations based on Reynolds-averaged Navier–Stokes equations (RANS) are used, whereby fluctuations as well as anisotropy of the turbulence are represented with insufficient precision. This paper applies a thermal large eddy lattice Boltzmann method (LES–LBM) as an efficient and accurate transient modeling of turbulence. The benchmark case Manikin Heat Loss for Thermal Comfort Evaluation is studied and the model of Predicted Mean Vote (PMV) is applied for estimating thermal sensation. The results for the air velocity, the temperature field and the PMV show a satisfactory agreement with both, the experiment and the results from RANS simulations. The accuracy and the model quality of the simulation are increased further by considering the buoyancy and an inlet seeding. This suggests a successful evaluation of the present model, whereby additional transient flow field data are provided. The obtained transient flow field data, however, motivates future work to study thermal comfort in the present manner. The investigation of the influence of fluctuations on thermal comfort as well as the application to more complex problems seem promising.
使用 Euler-Euler 格子 Boltzmann 方法进行惯性稀颗粒流体流动模拟
DOI：
10.1016/j.jocs.2016.03.013
发表时间：
2016
期刊：
J. Comput. Sci.
影响因子：
--
作者：
R. Trunk;T. Henn;W. Dörfler;H. Nirschl;M.J. Krause
通讯作者：
M.J. Krause