Numerical simulation of flow over topographic features by revised k - ε models

Yu Fat Lun; Akashi Mochida; Shuzo Murakami; Hiroshi Yoshino; Taichi Shirasawa

doi:10.1016/S0167-6105(02)00348-3

Numerical simulation of flow over topographic features by revised k - ε models

Yu Fat Lun, Akashi Mochida, Shuzo Murakami, Hiroshi Yoshino, Taichi Shirasawa

Research output: Journal Publication › Article › peer-review

49 Citations (Scopus)

Abstract

The accurate prediction of the wind energy distribution over terrains is important for making an appropriate selection of a suitable site for installing wind power plant. In this study, two-dimensional numerical simulations of flow over two common types of topographic features, i.e. a cliff and a hill, are presented. Three types of turbulence models, namely standard k - ε and its revised linear form (Durbin model) as well as a revised nonlinear form (Shih model) are employed in this work. The performance of these models in predicting flow over these features is investigated. The accuracy of the prediction by using a z₀ type wall function to reproduce the effect of surface roughness on flowfield from these turbulence models is also examined

Original language	English
Pages (from-to)	231-245
Number of pages	15
Journal	Journal of Wind Engineering and Industrial Aerodynamics
Volume	91
Issue number	1-2
DOIs	https://doi.org/10.1016/S0167-6105(02)00348-3
Publication status	Published - Jan 2003
Externally published	Yes

Keywords

Cliff
Durbin model
Flow over terrains
Hill
Revised k - ε
Shih model

ASJC Scopus subject areas

Civil and Structural Engineering
Renewable Energy, Sustainability and the Environment
Mechanical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S0167-6105(02)00348-3

Cite this

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title = "Numerical simulation of flow over topographic features by revised k - ε models",

abstract = "The accurate prediction of the wind energy distribution over terrains is important for making an appropriate selection of a suitable site for installing wind power plant. In this study, two-dimensional numerical simulations of flow over two common types of topographic features, i.e. a cliff and a hill, are presented. Three types of turbulence models, namely standard k - ε and its revised linear form (Durbin model) as well as a revised nonlinear form (Shih model) are employed in this work. The performance of these models in predicting flow over these features is investigated. The accuracy of the prediction by using a z0 type wall function to reproduce the effect of surface roughness on flowfield from these turbulence models is also examined",

keywords = "Cliff, Durbin model, Flow over terrains, Hill, Revised k - ε, Shih model",

author = "Lun, {Yu Fat} and Akashi Mochida and Shuzo Murakami and Hiroshi Yoshino and Taichi Shirasawa",

note = "Funding Information: The authors would like to express their gratitude to Prof. Shinsuke Kato of IIS, University of Tokyo and Prof. Takeshi Ishihara of University of Tokyo for their valuable information on the experiments of cliff and hill models, respectively. This research is supported by the New Energy and Industrial Technology Development Organization (NEDO) of Japan and the work is carried out as part of the research project “Development of the Local Area Wind Energy Prediction Model”. ",

year = "2003",

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doi = "10.1016/S0167-6105(02)00348-3",

language = "English",

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T1 - Numerical simulation of flow over topographic features by revised k - ε models

AU - Lun, Yu Fat

AU - Mochida, Akashi

AU - Murakami, Shuzo

AU - Yoshino, Hiroshi

AU - Shirasawa, Taichi

N1 - Funding Information: The authors would like to express their gratitude to Prof. Shinsuke Kato of IIS, University of Tokyo and Prof. Takeshi Ishihara of University of Tokyo for their valuable information on the experiments of cliff and hill models, respectively. This research is supported by the New Energy and Industrial Technology Development Organization (NEDO) of Japan and the work is carried out as part of the research project “Development of the Local Area Wind Energy Prediction Model”.

PY - 2003/1

Y1 - 2003/1

N2 - The accurate prediction of the wind energy distribution over terrains is important for making an appropriate selection of a suitable site for installing wind power plant. In this study, two-dimensional numerical simulations of flow over two common types of topographic features, i.e. a cliff and a hill, are presented. Three types of turbulence models, namely standard k - ε and its revised linear form (Durbin model) as well as a revised nonlinear form (Shih model) are employed in this work. The performance of these models in predicting flow over these features is investigated. The accuracy of the prediction by using a z0 type wall function to reproduce the effect of surface roughness on flowfield from these turbulence models is also examined

AB - The accurate prediction of the wind energy distribution over terrains is important for making an appropriate selection of a suitable site for installing wind power plant. In this study, two-dimensional numerical simulations of flow over two common types of topographic features, i.e. a cliff and a hill, are presented. Three types of turbulence models, namely standard k - ε and its revised linear form (Durbin model) as well as a revised nonlinear form (Shih model) are employed in this work. The performance of these models in predicting flow over these features is investigated. The accuracy of the prediction by using a z0 type wall function to reproduce the effect of surface roughness on flowfield from these turbulence models is also examined

KW - Cliff

KW - Durbin model

KW - Flow over terrains

KW - Hill

KW - Revised k - ε

KW - Shih model

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U2 - 10.1016/S0167-6105(02)00348-3

DO - 10.1016/S0167-6105(02)00348-3

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SN - 0167-6105

VL - 91

SP - 231

EP - 245

JO - Journal of Wind Engineering and Industrial Aerodynamics

JF - Journal of Wind Engineering and Industrial Aerodynamics

IS - 1-2

ER -

Numerical simulation of flow over topographic features by revised k - ε models

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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