DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A comparison of methods for assessing power output in non-uniform onshore wind farms

Abstract

Abstract not provided.

Authors:
ORCiD logo [1];  [2];  [3]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Johns Hopkins Univ., Baltimore, MD (United States)
  3. Univ. of Michigan, Ann Arbor, MI (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
National Science Foundation (pre Sandia employment); USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1399571
Alternate Identifier(s):
OSTI ID: 1399873
Report Number(s):
SAND-2017-9660J; SAND-2016-6827J
Journal ID: ISSN 1095-4244; 656860
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Wind Energy
Additional Journal Information:
Journal Volume: 21; Journal Issue: 1; Journal ID: ISSN 1095-4244
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; onshore wind farms; statistical modeling; turbine wakes; wind power assessment

Citation Formats

Staid, Andrea, VerHulst, Claire, and Guikema, Seth D. A comparison of methods for assessing power output in non-uniform onshore wind farms. United States: N. p., 2017. Web. doi:10.1002/we.2143.
Staid, Andrea, VerHulst, Claire, & Guikema, Seth D. A comparison of methods for assessing power output in non-uniform onshore wind farms. United States. https://doi.org/10.1002/we.2143
Staid, Andrea, VerHulst, Claire, and Guikema, Seth D. Mon . "A comparison of methods for assessing power output in non-uniform onshore wind farms". United States. https://doi.org/10.1002/we.2143. https://www.osti.gov/servlets/purl/1399571.
@article{osti_1399571,
title = {A comparison of methods for assessing power output in non-uniform onshore wind farms},
author = {Staid, Andrea and VerHulst, Claire and Guikema, Seth D.},
abstractNote = {Abstract not provided.},
doi = {10.1002/we.2143},
journal = {Wind Energy},
number = 1,
volume = 21,
place = {United States},
year = {Mon Oct 02 00:00:00 EDT 2017},
month = {Mon Oct 02 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 4 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Day-ahead wind speed forecasting using f-ARIMA models
journal, May 2009


Coupling Doppler radar-derived wind maps with operational turbine data to document wind farm complex flows
journal, January 2014

  • Hirth, Brian D.; Schroeder, John L.; Gunter, W. Scott
  • Wind Energy, Vol. 18, Issue 3, p. 529-540
  • DOI: 10.1002/we.1701

Wind Energy and Power System Operations: A Review of Wind Integration Studies to Date
journal, December 2009

  • DeCesaro, Jennifer; Porter, Kevin; Milligan, Michael
  • The Electricity Journal, Vol. 22, Issue 10
  • DOI: 10.1016/j.tej.2009.10.010

Coupled wake boundary layer model of wind-farms
journal, March 2015

  • Stevens, Richard J. A. M.; Gayme, Dennice F.; Meneveau, Charles
  • Journal of Renewable and Sustainable Energy, Vol. 7, Issue 2
  • DOI: 10.1063/1.4915287

Modelling and measuring flow and wind turbine wakes in large wind farms offshore
journal, July 2009

  • Barthelmie, R. J.; Hansen, K.; Frandsen, S. T.
  • Wind Energy, Vol. 12, Issue 5, p. 431-444
  • DOI: 10.1002/we.348

Short-term Prediction?An Overview
journal, January 2003

  • Landberg, Lars; Giebel, Gregor; Nielsen, Henrik Aalborg
  • Wind Energy, Vol. 6, Issue 3
  • DOI: 10.1002/we.96

Optimal turbine spacing in fully developed wind farm boundary layers
journal, April 2011

  • Meyers, Johan; Meneveau, Charles
  • Wind Energy, Vol. 15, Issue 2, p. 305-317
  • DOI: 10.1002/we.469

Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.)
journal, June 2008


A Variable Speed Wind Turbine Control Strategy to Meet Wind Farm Grid Code Requirements
journal, February 2010


The economic benefit of short-term forecasting for wind energy in the UK electricity market
journal, May 2008


Centralised power control of wind farm with doubly fed induction generators
journal, June 2006


Probabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging
journal, March 2010

  • Sloughter, J. McLean; Gneiting, Tilmann; Raftery, Adrian E.
  • Journal of the American Statistical Association, Vol. 105, Issue 489
  • DOI: 10.1198/jasa.2009.ap08615

Random Forests
journal, January 2001


A review on the young history of the wind power short-term prediction
journal, August 2008

  • Costa, Alexandre; Crespo, Antonio; Navarro, Jorge
  • Renewable and Sustainable Energy Reviews, Vol. 12, Issue 6
  • DOI: 10.1016/j.rser.2007.01.015

Turbine Control strategies for wind farm power optimization
conference, July 2015


Wind Power Data for Grid Integration Studies
conference, June 2007

  • Potter, Cameron W.; Gil, Hugo A.; McCaa, Jim
  • 2007 IEEE Power Engineering Society General Meeting
  • DOI: 10.1109/PES.2007.385821

Works referencing / citing this record:

20% of US electricity from wind will have limited impacts on system efficiency and regional climate
journal, January 2020


Interannual variability of wind climates and wind turbine annual energy production
journal, January 2018

  • Pryor, Sara C.; Shepherd, Tristan J.; Barthelmie, Rebecca J.
  • Wind Energy Science, Vol. 3, Issue 2
  • DOI: 10.5194/wes-3-651-2018

20% of US electricity from wind will have limited impacts on system efficiency and regional climate
journal, January 2020