Numerical investigation of starting turbulent buoyant plumes released in neutral atmosphere

Bhaganagar, Kiran; Bhimireddy, Sudheer Reddy

doi:10.1017/jfm.2020.474

Cited by 12 publications

(8 citation statements)

References 62 publications

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“…11,12 Using higher resolutions, the plume structures including the plume-generated vorticity and well-defined vortex rings have been identified as the key characteristic features of the atmospheric plumes. 13 In the present work, the guiding strategy to use vorticity as a metric to track the plume source is very effective.…”

Section: Methodsmentioning

confidence: 94%

“…9 More complex models can represent the small-scale effects of turbulence by numerically approximating a filtered form of the Navier-Stokes equations. [10][11][12][13] For real-world events, an initial model can be generated from known information around the estimated release location. Local measurements of meteorological data from weather towers and global satellite imaging can be used to obtain this prior information.…”

Section: Introductionmentioning

confidence: 99%

“…9 More complex models can represent the small-scale effects of turbulence by numerically approximating a filtered form of the Navier–Stokes equations. 10 –13…”

Section: Introductionmentioning

confidence: 99%

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Configurable simulation strategies for testing pollutant plume source localization algorithms using autonomous multisensor mobile robots

Lewis

Bhaganagar

2022

International Journal of Advanced Robotic Systems

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In hazardous situations involving the dispersion of chemical, biological, radiological, and nuclear pollutants, timely containment of the emission is critical. A contaminant disperses as a dynamically evolving plume into the atmosphere, introducing complex difficulties in predicting the dispersion trajectory and potential evacuation sites. Strategies for predictive modeling of rapid contaminant dispersion demand localization of the emission source, a task performed effectively via unmanned mobile-sensing platforms. With vast possibilities in sensor configurations and source-seeking algorithms, platform deployment in real-world applications involves much uncertainty alongside opportunity. This work aims to develop a plume source detection simulator to offer a reliable comparison of source-seeking approaches and performance testing of ground-based mobile-sensing platform configurations prior to experimental field testing. Utilizing ROS, Gazebo, MATLAB, and Simulink, a virtual environment is developed for an unmanned ground vehicle with a configurable array of sensors capable of measuring plume dispersion model data mapped into the domain. For selected configurations, gradient-based and adaptive exploration algorithms were tested for source localization using Gaussian dispersion models in addition to large eddy simulation models incorporating the effects of atmospheric turbulence. A unique global search algorithm was developed to locate the true source with overall success allowing for further evaluation in field experiments. From the observations obtained in simulation, it is evident that source-seeking performance can improve drastically by designing algorithms for global exploration while incorporating measurements of meteorological parameters beyond solely concentration (e.g. wind velocity and vorticity) made possible by the inclusion of high-resolution large eddy simulation plume data.

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Section: Methodsmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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Configurable simulation strategies for testing pollutant plume source localization algorithms using autonomous multisensor mobile robots

Lewis

Bhaganagar

2022

International Journal of Advanced Robotic Systems

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“…Large-eddy simulation within a weather research and forecasting (WRF) model was developed and validated to simulate thermal buoyant plumes (Bhaganagar & Bhimireddy 2020 b ; Bhimireddy & Bhaganagar 2021). A thorough performance assessment of WRF has been conducted to accurately resolve the micro-scale turbulence (Bhaganagar & Bhimireddy 2017; Bhimireddy & Bhaganagar 2018 a , b ; Bhaganagar & Bhimireddy 2020 a ).…”

Section: Large-eddy Simulationmentioning

confidence: 99%

Energetics of buoyancy-generated turbulent flows with active scalar: pure buoyant plume

Chen

Bhaganagar²

2023

J. Fluid Mech.

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A framework for the budget of Reynolds stress, temperature and density variations, turbulent mass flux and turbulent heat flux is presented for buoyancy-generated turbulent flows with a focus on turbulent plumes. The dynamical interactions between the turbulence generated from the velocity and thermodynamic fluctuations in thermal and heated gas plumes is studied. A large-eddy simulation tool has been used to simulate heavier and lighter than air plumes released from a circular heated source for high Reynolds number (Re). The budget equations are developed using a Favre-averaging approach. Both heated air plumes and heated gas plumes, namely, heated ${\rm SO}_2$ and heated ${\rm CH}_4$ plumes, are included in the study. The study focuses on addressing key questions – does the turbulence kinetic energy (TKE) spectrum follow the classical inertial $-5/3$ spectrum or is there a $-3$ buoyancy regime with a different scaling law? Fundamental pathways for generation of turbulence through velocity fluctuations, and temperature and density fluctuations are discussed. Analysis of the TKE and scalar variance budget equations has demonstrated that multiple mechanisms dominate the transport of Reynolds stresses, and in particular that correlations between the density and the velocity dominates the turbulence production mechanisms. Entrainment is connected to the turbulent transport and pressure-dilation processes.

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“…LES of forced jet were also performed 57 to evaluate the energy-consistent approach for modeling entrainment rate coefficient, α, developed by Kaminski et al 58 and van Reeuwijk and Craske 59 . Direct numerical simulation (DNS) and LES of thermal plumes were also reported [60][61][62][63] . These studies focused mainly on the generation and growth of buoyancy-induced instabilities in the near field that governs the transition from laminar to turbulence.…”

Section: Introductionmentioning

confidence: 99%

Lattice-Boltzmann modeling of buoyancy-driven turbulent flows

et al. 2022

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The pressure-based hybrid lattice-Boltzmann method presented by Farag & al (Phys. Fluids 2020) is assessed for the simulation of buoyancy driven flows. The model is first validated on Rayleigh-Benard and Rayleigh-Taylor two-dimensional cases. A large-eddy simulation of a turbulent forced plume is then carried out, and results are validated against experiments. A good overall agreement is obtained, both for mean and fluctuations quantities, as well as global entertainment. The self-similarity character of the plume in the far-field is also recovered.

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Numerical investigation of starting turbulent buoyant plumes released in neutral atmosphere

Abstract: Abstract

Cited by 12 publications

References 62 publications

Configurable simulation strategies for testing pollutant plume source localization algorithms using autonomous multisensor mobile robots

Configurable simulation strategies for testing pollutant plume source localization algorithms using autonomous multisensor mobile robots

Energetics of buoyancy-generated turbulent flows with active scalar: pure buoyant plume

Lattice-Boltzmann modeling of buoyancy-driven turbulent flows

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