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

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), NREL Laboratory Directed Research and Development (LDRD); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1433478
Report Number(s):
NREL/CP-5000-71325
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2018 Wind Energy Symposium at the AIAA SciTech Forum, 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

Doubrawa Moreira, Paula, Annoni, Jennifer, Jonkman, Jason, and Ghate, Aditya. Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA. United States: N. p., 2018. Web. doi:10.2514/6.2018-0512.
Doubrawa Moreira, Paula, Annoni, Jennifer, Jonkman, Jason, & Ghate, Aditya. Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA. United States. doi:10.2514/6.2018-0512.
Doubrawa Moreira, Paula, Annoni, Jennifer, Jonkman, Jason, and Ghate, Aditya. Fri . "Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA". United States. doi:10.2514/6.2018-0512.
@article{osti_1433478,
title = {Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA},
author = {Doubrawa Moreira, Paula and Annoni, Jennifer and Jonkman, Jason and Ghate, Aditya},
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 = {10.2514/6.2018-0512},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {1}
}

Conference:
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Works referenced in this record:

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