TY - JOUR
T1 - On the Convergence and Capability of the Large-Eddy Simulation of Concentration Fluctuations in Passive Plumes for a Neutral Boundary Layer at Infinite Reynolds Number
AU - Ardeshiri, Hamidreza
AU - Cassiani, Massimo
AU - Park, Soon-Young
AU - Stohl, Andreas
AU - Pisso, Ignacio
AU - Dinger, Anna Solvejg
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2020/6/26
Y1 - 2020/6/26
N2 - Large-eddy simulation (LES) experiments have been performed using the Parallelized LES Model (PALM). A methodology for validating and understanding LES results for plume dispersion and concentration fluctuations in an atmospheric-like flow is presented. A wide range of grid resolutions is shown to be necessary for investigating the convergence of statistical characteristics of velocity and scalar fields. For the scalar, the statistical moments up to the fourth order and the shape of the concentration probability density function (p.d.f.) are examined. The mean concentration is influenced by grid resolution, with the highest resolution simulation showing a lower mean concentration, linked to larger turbulent structures. However, a clear tendency to convergence of the concentration variance is observed at the two higher resolutions. This behaviour is explained by showing that the mechanisms driving the mean and the variance are differently influenced by the grid resolution. The analysis of skewness and kurtosis allows also the obtaining of general results on plume concentration fluctuations. Irrespective of grid resolution, a family of Gamma p.d.f.s well represents the shape of the concentration p.d.f. but only beyond the peak of the concentration fluctuation intensity. In the early plume dispersion phases, the moments of the p.d.f. are in good agreement with those generated by a fluctuating plume model. To the best of our knowledge, our study demonstrates for the first time that, if resolution and averaging time are adequate, atmospheric LES provides a trustworthy representation of the high order moments of the concentration field, up to the fourth order, for a dispersing plume.
AB - Large-eddy simulation (LES) experiments have been performed using the Parallelized LES Model (PALM). A methodology for validating and understanding LES results for plume dispersion and concentration fluctuations in an atmospheric-like flow is presented. A wide range of grid resolutions is shown to be necessary for investigating the convergence of statistical characteristics of velocity and scalar fields. For the scalar, the statistical moments up to the fourth order and the shape of the concentration probability density function (p.d.f.) are examined. The mean concentration is influenced by grid resolution, with the highest resolution simulation showing a lower mean concentration, linked to larger turbulent structures. However, a clear tendency to convergence of the concentration variance is observed at the two higher resolutions. This behaviour is explained by showing that the mechanisms driving the mean and the variance are differently influenced by the grid resolution. The analysis of skewness and kurtosis allows also the obtaining of general results on plume concentration fluctuations. Irrespective of grid resolution, a family of Gamma p.d.f.s well represents the shape of the concentration p.d.f. but only beyond the peak of the concentration fluctuation intensity. In the early plume dispersion phases, the moments of the p.d.f. are in good agreement with those generated by a fluctuating plume model. To the best of our knowledge, our study demonstrates for the first time that, if resolution and averaging time are adequate, atmospheric LES provides a trustworthy representation of the high order moments of the concentration field, up to the fourth order, for a dispersing plume.
KW - 2ND-MOMENT BUDGETS
KW - ATMOSPHERIC FLOW
KW - CHEMICAL-REACTIONS
KW - Concentration moments
KW - DISPERSION MODEL
KW - LAGRANGIAN PARTICLE
KW - Large-eddy simulation grid resolution
KW - PDF MICROMIXING MODEL
KW - Plume dispersion
KW - Probability density function
KW - RELATIVE DISPERSION
KW - STOCHASTIC-MODEL
KW - SUBGRID-SCALE VARIANCE
KW - TURBULENT-FLOW
KW - Turbulence
UR - http://www.scopus.com/inward/record.url?scp=85086916904&partnerID=8YFLogxK
U2 - 10.1007/s10546-020-00537-6
DO - 10.1007/s10546-020-00537-6
M3 - Article
SN - 0006-8314
VL - 176
SP - 291
EP - 327
JO - Boundary-Layer Meteorology
JF - Boundary-Layer Meteorology
ER -