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Title: Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA: Preprint

Abstract

FAST.Farm is a medium-delity wind farm modeling tool that can be used to assess power and loads contributions of wind turbines in a wind farm. The objective of this paper is to undertake a calibration procedure to set the user parameters of FAST.Farm to accurately represent results from large-eddy simulations. The results provide an in- depth analysis of the comparison of FAST.Farm and large-eddy simulations before and after calibration. The comparison of FAST.Farm and large-eddy simulation results are presented with respect to streamwise and radial velocity components as well as wake-meandering statistics (mean and standard deviation) in the lateral and vertical directions under different atmospheric and turbine operating conditions.

Authors:
 [1];  [1];  [1];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Stanford University
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:
1416519
Report Number(s):
NREL/CP-5000-70533
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the American Institute of Aeronautics and Astronautics SciTech Forum 2018, 8-12 January 2018, Kissimmee, Florida
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; yaw; calibration; FAST Farm; SOWFA; wind modeling tool; wind farms; large-eddy simulations; wake meandering

Citation Formats

Moreira, Paula D, Annoni, Jennifer, Jonkman, Jason, and Ghate, Aditya S. Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA: Preprint. United States: N. p., 2018. Web.
Moreira, Paula D, Annoni, Jennifer, Jonkman, Jason, & Ghate, Aditya S. Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA: Preprint. United States.
Moreira, Paula D, Annoni, Jennifer, Jonkman, Jason, and Ghate, Aditya S. 2018. "Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA: Preprint". United States. doi:. https://www.osti.gov/servlets/purl/1416519.
@article{osti_1416519,
title = {Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA: Preprint},
author = {Moreira, Paula D and Annoni, Jennifer and Jonkman, Jason and Ghate, Aditya S},
abstractNote = {FAST.Farm is a medium-delity wind farm modeling tool that can be used to assess power and loads contributions of wind turbines in a wind farm. The objective of this paper is to undertake a calibration procedure to set the user parameters of FAST.Farm to accurately represent results from large-eddy simulations. The results provide an in- depth analysis of the comparison of FAST.Farm and large-eddy simulations before and after calibration. The comparison of FAST.Farm and large-eddy simulation results are presented with respect to streamwise and radial velocity components as well as wake-meandering statistics (mean and standard deviation) in the lateral and vertical directions under different atmospheric and turbine operating conditions.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2018,
month = 1
}

Conference:
Other availability
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