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Title: Atmospheric turbulence affects wind turbine nacelle transfer functions

Abstract

Despite their potential as a valuable source of individual turbine power performance and turbine array energy production optimization information, nacelle-mounted anemometers have often been neglected because complex flows around the blades and nacelle interfere with their measurements. This work quantitatively explores the accuracy of and potential corrections to nacelle anemometer measurements to determine the degree to which they may be useful when corrected for these complex flows, particularly for calculating annual energy production (AEP) in the absence of other meteorological data. Using upwind meteorological tower measurements along with nacelle-based measurements from a General Electric (GE) 1.5sle model, we calculate empirical nacelle transfer functions (NTFs) and explore how they are impacted by different atmospheric and turbulence parameters. This work provides guidelines for the use of NTFs for deriving useful wind measurements from nacelle-mounted anemometers. Corrections to the nacelle anemometer wind speed measurements can be made with NTFs and used to calculate an AEP that comes within 1 % of an AEP calculated with upwind measurements. We also calculate unique NTFs for different atmospheric conditions defined by temperature stratification as well as turbulence intensity, turbulence kinetic energy, and wind shear. During periods of low stability as defined by the Bulk Richardson number (RB),more » the nacelle-mounted anemometer underestimates the upwind wind speed more than during periods of high stability at some wind speed bins below rated speed, leading to a more steep NTF during periods of low stability. Similarly, during periods of high turbulence, the nacelle-mounted anemometer underestimates the upwind wind speed more than during periods of low turbulence at most wind bins between cut-in and rated wind speed. Based on these results, we suggest different NTFs be calculated for different regimes of atmospheric stability and turbulence for power performance validation purposes.« less

Authors:
; ORCiD logo; ORCiD logo; ;
Publication Date:
Research Org.:
National Renewable Energy Laboratory (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:
1361122
Alternate Identifier(s):
OSTI ID: 1338900
Report Number(s):
NREL/JA-5D00-67362
Journal ID: ISSN 2366-7451
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article: Published Article
Journal Name:
Wind Energy Science (Online)
Additional Journal Information:
Journal Name: Wind Energy Science (Online) Journal Volume: 2 Journal Issue: 1; Journal ID: ISSN 2366-7451
Publisher:
European Wind Energy Association - Copernicus
Country of Publication:
Germany
Language:
English
Subject:
17 WIND ENERGY; nacelle anemometry; nacelle transfer function; atmospheric stability; turbulence

Citation Formats

St. Martin, Clara M., Lundquist, Julie K., Clifton, Andrew, Poulos, Gregory S., and Schreck, Scott J. Atmospheric turbulence affects wind turbine nacelle transfer functions. Germany: N. p., 2017. Web. doi:10.5194/wes-2-295-2017.
St. Martin, Clara M., Lundquist, Julie K., Clifton, Andrew, Poulos, Gregory S., & Schreck, Scott J. Atmospheric turbulence affects wind turbine nacelle transfer functions. Germany. https://doi.org/10.5194/wes-2-295-2017
St. Martin, Clara M., Lundquist, Julie K., Clifton, Andrew, Poulos, Gregory S., and Schreck, Scott J. 2017. "Atmospheric turbulence affects wind turbine nacelle transfer functions". Germany. https://doi.org/10.5194/wes-2-295-2017.
@article{osti_1361122,
title = {Atmospheric turbulence affects wind turbine nacelle transfer functions},
author = {St. Martin, Clara M. and Lundquist, Julie K. and Clifton, Andrew and Poulos, Gregory S. and Schreck, Scott J.},
abstractNote = {Despite their potential as a valuable source of individual turbine power performance and turbine array energy production optimization information, nacelle-mounted anemometers have often been neglected because complex flows around the blades and nacelle interfere with their measurements. This work quantitatively explores the accuracy of and potential corrections to nacelle anemometer measurements to determine the degree to which they may be useful when corrected for these complex flows, particularly for calculating annual energy production (AEP) in the absence of other meteorological data. Using upwind meteorological tower measurements along with nacelle-based measurements from a General Electric (GE) 1.5sle model, we calculate empirical nacelle transfer functions (NTFs) and explore how they are impacted by different atmospheric and turbulence parameters. This work provides guidelines for the use of NTFs for deriving useful wind measurements from nacelle-mounted anemometers. Corrections to the nacelle anemometer wind speed measurements can be made with NTFs and used to calculate an AEP that comes within 1 % of an AEP calculated with upwind measurements. We also calculate unique NTFs for different atmospheric conditions defined by temperature stratification as well as turbulence intensity, turbulence kinetic energy, and wind shear. During periods of low stability as defined by the Bulk Richardson number (RB), the nacelle-mounted anemometer underestimates the upwind wind speed more than during periods of high stability at some wind speed bins below rated speed, leading to a more steep NTF during periods of low stability. Similarly, during periods of high turbulence, the nacelle-mounted anemometer underestimates the upwind wind speed more than during periods of low turbulence at most wind bins between cut-in and rated wind speed. Based on these results, we suggest different NTFs be calculated for different regimes of atmospheric stability and turbulence for power performance validation purposes.},
doi = {10.5194/wes-2-295-2017},
url = {https://www.osti.gov/biblio/1361122}, journal = {Wind Energy Science (Online)},
issn = {2366-7451},
number = 1,
volume = 2,
place = {Germany},
year = {Fri Jun 02 00:00:00 EDT 2017},
month = {Fri Jun 02 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at https://doi.org/10.5194/wes-2-295-2017

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