Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA

Paula Doubrawa; Jennifer Annoni; Jason Jonkman; Aditya Ghate

doi:10.2514/6.2018-0512

Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA

Paula Doubrawa, Jennifer Annoni, Jason Jonkman, Aditya Ghate

National Wind Technology Center

Stanford University

Research output: Contribution to conference › Paper › peer-review

13 Scopus Citations

Abstract

FAST.Farm is a medium-fidelity wind farm modeling tool that can be used to assess power and structural loads contributions of wind turbines in a wind farm. The objective of this paper is to undertake a calibration procedure to set the user-defined 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.

Original language	American English
Number of pages	16
DOIs	https://doi.org/10.2514/6.2018-0512 https://doi.org/10.2514/6.2018-0512
State	Published - 2018
Event	Wind Energy Symposium, 2018 - Kissimmee, United States Duration: 8 Jan 2018 → 12 Jan 2018

Conference

Conference	Wind Energy Symposium, 2018
Country/Territory	United States
City	Kissimmee
Period	8/01/18 → 12/01/18

Bibliographical note

See NREL/CP-5000-70533 for preprint

NREL Publication Number

NREL/CP-5000-71325

Keywords

calibration
FAST Farm
large-eddy simulations
SOWFA
wake meandering
wind farms
wind modeling tool
yaw

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title = "Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA",

abstract = "FAST.Farm is a medium-fidelity wind farm modeling tool that can be used to assess power and structural loads contributions of wind turbines in a wind farm. The objective of this paper is to undertake a calibration procedure to set the user-defined 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.",

keywords = "calibration, FAST Farm, large-eddy simulations, SOWFA, wake meandering, wind farms, wind modeling tool, yaw",

author = "Paula Doubrawa and Jennifer Annoni and Jason Jonkman and Aditya Ghate",

note = "See NREL/CP-5000-70533 for preprint; Wind Energy Symposium, 2018 ; Conference date: 08-01-2018 Through 12-01-2018",

year = "2018",

doi = "10.2514/6.2018-0512",

language = "American English",

}

TY - CONF

T1 - Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA

AU - Doubrawa, Paula

AU - Annoni, Jennifer

AU - Jonkman, Jason

AU - Ghate, Aditya

N1 - See NREL/CP-5000-70533 for preprint

PY - 2018

Y1 - 2018

N2 - FAST.Farm is a medium-fidelity wind farm modeling tool that can be used to assess power and structural loads contributions of wind turbines in a wind farm. The objective of this paper is to undertake a calibration procedure to set the user-defined 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.

AB - FAST.Farm is a medium-fidelity wind farm modeling tool that can be used to assess power and structural loads contributions of wind turbines in a wind farm. The objective of this paper is to undertake a calibration procedure to set the user-defined 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.

KW - calibration

KW - FAST Farm

KW - large-eddy simulations

KW - SOWFA

KW - wake meandering

KW - wind farms

KW - wind modeling tool

KW - yaw

UR - http://www.scopus.com/inward/record.url?scp=85141599102&partnerID=8YFLogxK

U2 - 10.2514/6.2018-0512

DO - 10.2514/6.2018-0512

M3 - Paper

AN - SCOPUS:85141599102

T2 - Wind Energy Symposium, 2018

Y2 - 8 January 2018 through 12 January 2018

ER -

Optimization-Based Calibration of FAST.Farm Parameters Against SOWFA

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

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