skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Effective Quantification of Wind-Speed Variability at Different Temporal Scales

Abstract

RCoV, a statistically robust and resistant metric, effectively characterizes and correlates the spreads of the distributions of wind resources and wind-energy productions. Using RCoV, a wind farm with high wind-speed fluctuations possesses high variations in wind-energy generation and vice versa. Because the long-term correlations between the wind-speed and energy-production interannual variabilities are weak and decrease with the length of data, we do not recommend calculating variabilities with yearly mean data. Skewness and kurtosis drastically change with averaging time frames. Nonzero skewness and kurtosis illustrate that the Gaussian assumption is principally inadequate in most of the United States for all averaging time frames of wind speeds.

Authors:
 [1];  [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1484343
Report Number(s):
NREL/PO-5000-72215
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the AWEA Wind Resource & Project Energy Assessment Conference 2018, 11-12 September 2018, Austin, Texas
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind power; wind-speed fluctuations; variabilities; resource distribution; uncertainty

Citation Formats

Lee, Cheuk Yi Joseph, Fields, Michael J, and Lundquist, Julie. Effective Quantification of Wind-Speed Variability at Different Temporal Scales. United States: N. p., 2018. Web.
Lee, Cheuk Yi Joseph, Fields, Michael J, & Lundquist, Julie. Effective Quantification of Wind-Speed Variability at Different Temporal Scales. United States.
Lee, Cheuk Yi Joseph, Fields, Michael J, and Lundquist, Julie. Tue . "Effective Quantification of Wind-Speed Variability at Different Temporal Scales". United States. doi:. https://www.osti.gov/servlets/purl/1484343.
@article{osti_1484343,
title = {Effective Quantification of Wind-Speed Variability at Different Temporal Scales},
author = {Lee, Cheuk Yi Joseph and Fields, Michael J and Lundquist, Julie},
abstractNote = {RCoV, a statistically robust and resistant metric, effectively characterizes and correlates the spreads of the distributions of wind resources and wind-energy productions. Using RCoV, a wind farm with high wind-speed fluctuations possesses high variations in wind-energy generation and vice versa. Because the long-term correlations between the wind-speed and energy-production interannual variabilities are weak and decrease with the length of data, we do not recommend calculating variabilities with yearly mean data. Skewness and kurtosis drastically change with averaging time frames. Nonzero skewness and kurtosis illustrate that the Gaussian assumption is principally inadequate in most of the United States for all averaging time frames of wind speeds.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 27 00:00:00 EST 2018},
month = {Tue Nov 27 00:00:00 EST 2018}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: