Statistical and Spectral Analysis of Wind Characteristics Relevant to Wind Energy Assessment Using Tower Measurements in Complex Terrain
Abstract
The main objective of the study was to investigate spatial and temporal characteristics of the wind speed and direction in complex terrain that are relevant to wind energy assessment and development, as well as to wind energy system operation, management, and grid integration. Wind data from five tall meteorological towers located in Western Nevada, USA, operated from August 2003 to March 2008, used in the analysis. The multiannual average wind speeds did not show significant increased trend with increasing elevation, while the turbulence intensity slowly decreased with an increase were the average wind speed. The wind speed and direction were modeled using the Weibull and the von Mises distribution functions. The correlations show a strong coherence between the wind speed and direction with slowly decreasing amplitude of the multiday periodicity with increasing lag periods. The spectral analysis shows significant annual periodicity with similar characteristics at all locations. The relatively high correlations between the towers and small range of the computed turbulence intensity indicate that wind variability is dominated by the regional synoptic processes. Knowledge and information about daily, seasonal, and annual wind periodicities are very important for wind energy resource assessment, wind power plant operation, management, and grid integration.
- Authors:
-
- Drexel University, 3001 Market Street, Philadelphia, PA 19104, USA, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA
- Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1198477
- Grant/Contract Number:
- NDO 5-4431-01
- Resource Type:
- Published Article
- Journal Name:
- Journal of Wind Energy
- Additional Journal Information:
- Journal Name: Journal of Wind Energy Journal Volume: 2013; Journal ID: ISSN 2314-6249
- Publisher:
- Hindawi Publishing Corporation
- Country of Publication:
- Country unknown/Code not available
- Language:
- English
Citation Formats
Belu, Radian, and Koracin, Darko. Statistical and Spectral Analysis of Wind Characteristics Relevant to Wind Energy Assessment Using Tower Measurements in Complex Terrain. Country unknown/Code not available: N. p., 2013.
Web. doi:10.1155/2013/739162.
Belu, Radian, & Koracin, Darko. Statistical and Spectral Analysis of Wind Characteristics Relevant to Wind Energy Assessment Using Tower Measurements in Complex Terrain. Country unknown/Code not available. https://doi.org/10.1155/2013/739162
Belu, Radian, and Koracin, Darko. Wed .
"Statistical and Spectral Analysis of Wind Characteristics Relevant to Wind Energy Assessment Using Tower Measurements in Complex Terrain". Country unknown/Code not available. https://doi.org/10.1155/2013/739162.
@article{osti_1198477,
title = {Statistical and Spectral Analysis of Wind Characteristics Relevant to Wind Energy Assessment Using Tower Measurements in Complex Terrain},
author = {Belu, Radian and Koracin, Darko},
abstractNote = {The main objective of the study was to investigate spatial and temporal characteristics of the wind speed and direction in complex terrain that are relevant to wind energy assessment and development, as well as to wind energy system operation, management, and grid integration. Wind data from five tall meteorological towers located in Western Nevada, USA, operated from August 2003 to March 2008, used in the analysis. The multiannual average wind speeds did not show significant increased trend with increasing elevation, while the turbulence intensity slowly decreased with an increase were the average wind speed. The wind speed and direction were modeled using the Weibull and the von Mises distribution functions. The correlations show a strong coherence between the wind speed and direction with slowly decreasing amplitude of the multiday periodicity with increasing lag periods. The spectral analysis shows significant annual periodicity with similar characteristics at all locations. The relatively high correlations between the towers and small range of the computed turbulence intensity indicate that wind variability is dominated by the regional synoptic processes. Knowledge and information about daily, seasonal, and annual wind periodicities are very important for wind energy resource assessment, wind power plant operation, management, and grid integration.},
doi = {10.1155/2013/739162},
journal = {Journal of Wind Energy},
number = ,
volume = 2013,
place = {Country unknown/Code not available},
year = {Wed Jul 10 00:00:00 EDT 2013},
month = {Wed Jul 10 00:00:00 EDT 2013}
}
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