A Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames

A swirling pulverized coal flame is computationally investigated. A Eulerian–Lagrangian formulation is used to describe the two-phase flow. Turbulence is modelled within a RANS (Reynolds averaged numerical simulation) framework. Four turbulence viscosity- (TV) based models, namely the standard k-ε m...

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Autores principales:	Ali Cemal Benim, Cansu Deniz Canal, Yakup Erhan Boke
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	combustion modelling computational fluid dynamics pulverized coal combustion turbulence modelling two-phase flow modelling Technology T
Acceso en línea:	https://doaj.org/article/e8a9da54295c46788aecbb778762942b
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spelling	oai:doaj.org-article:e8a9da54295c46788aecbb778762942b2021-11-11T16:03:46ZA Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames10.3390/en142173231996-1073https://doaj.org/article/e8a9da54295c46788aecbb778762942b2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7323https://doaj.org/toc/1996-1073A swirling pulverized coal flame is computationally investigated. A Eulerian–Lagrangian formulation is used to describe the two-phase flow. Turbulence is modelled within a RANS (Reynolds averaged numerical simulation) framework. Four turbulence viscosity- (TV) based models, namely the standard k-ε model, realizable k-ε model, renormalization group theory k-ε model, and the shear stress transport k-ω model are used. In addition, a Reynolds stress transport model (RSM) is employed. The models are assessed by comparing the predicted velocity fields with the measurements of other authors. In terms of overall average values, the agreement of the predictions to the measurements is observed to be within the range 20–40%. A better performance of the RSM compared to the TV models is observed, with a nearly twice as better overall agreement to the experiments, particularly for the swirl velocity. In the second part of the investigation, the resolution of the discrete particle phase in modelling the turbulent particle dispersion (TPD) and particle size distribution (SD) is investigated. Using the discrete random walk model for the TPD, it is shown that even five random walks are sufficient for an accuracy that is quite high, with a less than 1% mean deviation from the solution obtained by thirty random walks. The approximation of the measured SD is determined by a continuous Rosin–Rammler distribution function, and inaccuracies that can occur in its subsequent discretization are demonstrated and discussed. An investigation on the resolution of the SD by discrete particle size classes (SC) indicates that 12 SC are required for an accuracy with a less than 1% mean deviation from the solution with 18 SC. Although these numbers may not necessarily be claimed to be sufficiently universal, they may serve as guidance, at least for SD with similar characteristics.Ali Cemal BenimCansu Deniz CanalYakup Erhan BokeMDPI AGarticlecombustion modellingcomputational fluid dynamicspulverized coal combustionturbulence modellingtwo-phase flow modellingTechnologyTENEnergies, Vol 14, Iss 7323, p 7323 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	combustion modelling computational fluid dynamics pulverized coal combustion turbulence modelling two-phase flow modelling Technology T
spellingShingle	combustion modelling computational fluid dynamics pulverized coal combustion turbulence modelling two-phase flow modelling Technology T Ali Cemal Benim Cansu Deniz Canal Yakup Erhan Boke A Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames
description	A swirling pulverized coal flame is computationally investigated. A Eulerian–Lagrangian formulation is used to describe the two-phase flow. Turbulence is modelled within a RANS (Reynolds averaged numerical simulation) framework. Four turbulence viscosity- (TV) based models, namely the standard k-ε model, realizable k-ε model, renormalization group theory k-ε model, and the shear stress transport k-ω model are used. In addition, a Reynolds stress transport model (RSM) is employed. The models are assessed by comparing the predicted velocity fields with the measurements of other authors. In terms of overall average values, the agreement of the predictions to the measurements is observed to be within the range 20–40%. A better performance of the RSM compared to the TV models is observed, with a nearly twice as better overall agreement to the experiments, particularly for the swirl velocity. In the second part of the investigation, the resolution of the discrete particle phase in modelling the turbulent particle dispersion (TPD) and particle size distribution (SD) is investigated. Using the discrete random walk model for the TPD, it is shown that even five random walks are sufficient for an accuracy that is quite high, with a less than 1% mean deviation from the solution obtained by thirty random walks. The approximation of the measured SD is determined by a continuous Rosin–Rammler distribution function, and inaccuracies that can occur in its subsequent discretization are demonstrated and discussed. An investigation on the resolution of the SD by discrete particle size classes (SC) indicates that 12 SC are required for an accuracy with a less than 1% mean deviation from the solution with 18 SC. Although these numbers may not necessarily be claimed to be sufficiently universal, they may serve as guidance, at least for SD with similar characteristics.
format	article
author	Ali Cemal Benim Cansu Deniz Canal Yakup Erhan Boke
author_facet	Ali Cemal Benim Cansu Deniz Canal Yakup Erhan Boke
author_sort	Ali Cemal Benim
title	A Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames
title_short	A Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames
title_full	A Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames
title_fullStr	A Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames
title_full_unstemmed	A Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames
title_sort	validation study for rans based modelling of swirling pulverized fuel flames
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e8a9da54295c46788aecbb778762942b
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A Validation Study for RANS Based Modelling of Swirling Pulverized Fuel Flames

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