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Title: FAST.Farm Response to Varying Wind Inflow and Discretization

Abstract

FAST.Farm is a newly developed multiphysics, midfidelity engineering tool that can be used to predict turbine power and structural loads of wind turbines in a wind farm. Previous studies have shown the similarities and differences between FAST.Farm and large-eddy simulations (LES) using the same LES-precursor-generated ambient wind inflow. The ability to generate ambient wind inflow using a synthetic turbulence engineering model (e.g., TurbSim or the Mann model) has recently been integrated into FAST.Farm to potentially enable more computationally efficient usage of the tool. This work aims to: 1) compare FAST.Farm simulations using LES-generated inflow to those using synthetically generated inflow from TurbSim, and 2) establish guidelines by which TurbSim-generated inflow should be generated for wind farm analysis. It was found that properly setting spatial coherence parameters for the transverse wind velocity components is necessary to accurately predict wake meandering. It is shown that TurbSim-generated inflow can be used in FAST.Farm to accurately predict thrust, power, speed, and torque for waked and unwaked turbines; wake meandering behavior across different atmospheric conditions; and averaged wake-deficit advection and evolution effects.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
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:
1547244
Report Number(s):
NREL/CP-5000-74501
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the AIAA SciTech 2019 Forum, 7-11 January 2019, San Diego, California
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind energy; large-eddy simulations; modeling; torque; wakes

Citation Formats

Shaler, Kelsey, Jonkman, Jason, Doubrawa Moreira, Paula, and Hamilton, Nicholas. FAST.Farm Response to Varying Wind Inflow and Discretization. United States: N. p., 2019. Web. doi:10.2514/6.2019-2086.
Shaler, Kelsey, Jonkman, Jason, Doubrawa Moreira, Paula, & Hamilton, Nicholas. FAST.Farm Response to Varying Wind Inflow and Discretization. United States. doi:10.2514/6.2019-2086.
Shaler, Kelsey, Jonkman, Jason, Doubrawa Moreira, Paula, and Hamilton, Nicholas. Sun . "FAST.Farm Response to Varying Wind Inflow and Discretization". United States. doi:10.2514/6.2019-2086.
@article{osti_1547244,
title = {FAST.Farm Response to Varying Wind Inflow and Discretization},
author = {Shaler, Kelsey and Jonkman, Jason and Doubrawa Moreira, Paula and Hamilton, Nicholas},
abstractNote = {FAST.Farm is a newly developed multiphysics, midfidelity engineering tool that can be used to predict turbine power and structural loads of wind turbines in a wind farm. Previous studies have shown the similarities and differences between FAST.Farm and large-eddy simulations (LES) using the same LES-precursor-generated ambient wind inflow. The ability to generate ambient wind inflow using a synthetic turbulence engineering model (e.g., TurbSim or the Mann model) has recently been integrated into FAST.Farm to potentially enable more computationally efficient usage of the tool. This work aims to: 1) compare FAST.Farm simulations using LES-generated inflow to those using synthetically generated inflow from TurbSim, and 2) establish guidelines by which TurbSim-generated inflow should be generated for wind farm analysis. It was found that properly setting spatial coherence parameters for the transverse wind velocity components is necessary to accurately predict wake meandering. It is shown that TurbSim-generated inflow can be used in FAST.Farm to accurately predict thrust, power, speed, and torque for waked and unwaked turbines; wake meandering behavior across different atmospheric conditions; and averaged wake-deficit advection and evolution effects.},
doi = {10.2514/6.2019-2086},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

Conference:
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Works referenced in this record:

Wake meandering: a pragmatic approach
journal, July 2008

  • Larsen, Gunner C.; Madsen, Helge Aa.; Thomsen, Kenneth
  • Wind Energy, Vol. 11, Issue 4, p. 377-395
  • DOI: 10.1002/we.267