Multiscale Computational Fluid Dynamics

Computational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and heat transfer; and in the simulation of mechanical devices such as turbines, wind wave and tidal devices, and other devices for energy gener...

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Main Authors: Dimitris Drikakis, Michael Frank, Gavin Tabor
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Energies
Subjects:
CFD
Online Access:https://www.mdpi.com/1996-1073/12/17/3272
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spelling doaj-b445f6be792242348d21d480a2e7fc202020-11-25T02:42:47ZengMDPI AGEnergies1996-10732019-08-011217327210.3390/en12173272en12173272Multiscale Computational Fluid DynamicsDimitris Drikakis0Michael Frank1Gavin Tabor2Defence and Security Research Institute, University of Nicosia, Nicosia CY-2417, CyprusDepartment of Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow G1 1UX, UKCEMPS, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, UKComputational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and heat transfer; and in the simulation of mechanical devices such as turbines, wind wave and tidal devices, and other devices for energy generation. With the constant increase in available computing power, the fidelity and accuracy of CFD simulations have constantly improved, and the technique is now an integral part of research and development. In the past few years, the development of multiscale methods has emerged as a topic of intensive research. The variable scales may be associated with scales of turbulence, or other physical processes which operate across a range of different scales, and often lead to spatial and temporal scales crossing the boundaries of continuum and molecular mechanics. In this paper, we present a short review of multiscale CFD frameworks with potential applications to energy problems.https://www.mdpi.com/1996-1073/12/17/3272multiscaleCFDenergyturbulencecontinuum fluidsmolecular fluidsheat transfer
collection DOAJ
language English
format Article
sources DOAJ
author Dimitris Drikakis
Michael Frank
Gavin Tabor
spellingShingle Dimitris Drikakis
Michael Frank
Gavin Tabor
Multiscale Computational Fluid Dynamics
Energies
multiscale
CFD
energy
turbulence
continuum fluids
molecular fluids
heat transfer
author_facet Dimitris Drikakis
Michael Frank
Gavin Tabor
author_sort Dimitris Drikakis
title Multiscale Computational Fluid Dynamics
title_short Multiscale Computational Fluid Dynamics
title_full Multiscale Computational Fluid Dynamics
title_fullStr Multiscale Computational Fluid Dynamics
title_full_unstemmed Multiscale Computational Fluid Dynamics
title_sort multiscale computational fluid dynamics
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2019-08-01
description Computational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and heat transfer; and in the simulation of mechanical devices such as turbines, wind wave and tidal devices, and other devices for energy generation. With the constant increase in available computing power, the fidelity and accuracy of CFD simulations have constantly improved, and the technique is now an integral part of research and development. In the past few years, the development of multiscale methods has emerged as a topic of intensive research. The variable scales may be associated with scales of turbulence, or other physical processes which operate across a range of different scales, and often lead to spatial and temporal scales crossing the boundaries of continuum and molecular mechanics. In this paper, we present a short review of multiscale CFD frameworks with potential applications to energy problems.
topic multiscale
CFD
energy
turbulence
continuum fluids
molecular fluids
heat transfer
url https://www.mdpi.com/1996-1073/12/17/3272
work_keys_str_mv AT dimitrisdrikakis multiscalecomputationalfluiddynamics
AT michaelfrank multiscalecomputationalfluiddynamics
AT gavintabor multiscalecomputationalfluiddynamics
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