Evaluation of the Power-Law Wind-Speed Extrapolation Method with Atmospheric Stability Classification Methods for Flows over Different Terrain Types

The atmospheric stability and ground topography play an important role in shaping wind-speed profiles. However, the commonly used power-law wind-speed extrapolation method is usually applied, ignoring atmospheric stability effects. In the present work, a new power-law wind-speed extrapolation method...

Full description

Saved in:
Bibliographic Details
Published inApplied sciences Vol. 8; no. 9; p. 1429
Main Authors Xu, Chang, Hao, Chenyan, Li, Linmin, Han, Xingxing, Xue, Feifei, Sun, Mingwei, Shen, Wenzhong
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2018
Subjects
Acceleration
Atmospheric boundary layer
atmospheric stability
Atmospheric turbulence
Classification
Energy
Evaluation
Extrapolation
Farm buildings
Feasibility studies
Fluid dynamics
Friction
Methods
Nuclear power plants
Stability analysis
Terrain
Turbulence
Wind
Wind effects
Wind farms
Wind power
wind resource assessment
Wind shear
Wind speed
wind speed extrapolation
Denmark
Italy
China
Online AccessGet full text

Cover

More Information
Summary:The atmospheric stability and ground topography play an important role in shaping wind-speed profiles. However, the commonly used power-law wind-speed extrapolation method is usually applied, ignoring atmospheric stability effects. In the present work, a new power-law wind-speed extrapolation method based on atmospheric stability classification is proposed and evaluated for flows over different types of terrain. The method uses the wind shear exponent estimated in different stability conditions rather than its average value in all stability conditions. Four stability classification methods, namely the Richardson Gradient (RG) method, the Wind Direction Standard Deviation (WDSD) method, the Wind Speed Ratio (WSR) method and the Monin–Obukhov (MO) method are applied in the wind speed extrapolation method for three different types of terrain. Tapplicability is analyzed by comparing the errors between the measured data and the calculated results at the hub height. It is indicated that the WSR classification method is effective for all the terrains investigated while the WDSD method is more suitable in plain areas. Moreover, the RG and MO methods perform better in complex terrains than the other methods, if two-level temperature data are available.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8091429