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:
-
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- 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:
- 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. 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 = {},
url = {https://www.osti.gov/biblio/1416519},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 04 00:00:00 EST 2018},
month = {Thu Jan 04 00:00:00 EST 2018}
}