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Title: Validation of FAST.Farm Against Large-Eddy Simulations

Abstract

FAST.Farm is a new midfidelity, multiphysics engineering tool for modeling the power performance and structural loads of wind turbines within a wind farm, including wake and array effects. Previous calibration of the tuneable model parameters of FAST.Farm has shown that its prediction of wake dynamics for a single wind turbine across different atmospheric stability conditions and nacelle-yaw errors matches well with high-fidelity large-eddy simulation at a small fraction of the computational expense. This paper presents a validation of FAST.Farm against large-eddy simulation for a series of cases - independent from those used to support the calibration - considering single-turbine and small wind-farm scenarios, which are both subject to variations in inflow and control. The validation has demonstrated that FAST.Farm reasonably accurately predicts: (1) thrust and power for individual turbines both in isolation and down the row of the small wind farm, (2) wake meandering behavior across different atmospheric conditions, and (3) averaged wake-deficit advection, evolution, and merging effects. As a result, the validation also highlights potential physics that could be improved in FAST.Farm in the future.

Authors:
ORCiD logo [1];  [1];  [1];  [1]; ORCiD logo [1]
  1. National Renewable Energy Lab. (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:
1462466
Report Number(s):
NREL/JA-5000-71376
Journal ID: ISSN 1742-6588; TRN: US1902180
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 1037; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; FAST.Farm SOWFA; validation; wind farm; wake and array effects; power; structural loads

Citation Formats

Jonkman, Jason, Doubrawa, Paula Moreira, Hamilton, Nicholas, Annoni, Jennifer, and Fleming, Paul A. Validation of FAST.Farm Against Large-Eddy Simulations. United States: N. p., 2018. Web. doi:10.1088/1742-6596/1037/6/062005.
Jonkman, Jason, Doubrawa, Paula Moreira, Hamilton, Nicholas, Annoni, Jennifer, & Fleming, Paul A. Validation of FAST.Farm Against Large-Eddy Simulations. United States. doi:10.1088/1742-6596/1037/6/062005.
Jonkman, Jason, Doubrawa, Paula Moreira, Hamilton, Nicholas, Annoni, Jennifer, and Fleming, Paul A. Tue . "Validation of FAST.Farm Against Large-Eddy Simulations". United States. doi:10.1088/1742-6596/1037/6/062005. https://www.osti.gov/servlets/purl/1462466.
@article{osti_1462466,
title = {Validation of FAST.Farm Against Large-Eddy Simulations},
author = {Jonkman, Jason and Doubrawa, Paula Moreira and Hamilton, Nicholas and Annoni, Jennifer and Fleming, Paul A.},
abstractNote = {FAST.Farm is a new midfidelity, multiphysics engineering tool for modeling the power performance and structural loads of wind turbines within a wind farm, including wake and array effects. Previous calibration of the tuneable model parameters of FAST.Farm has shown that its prediction of wake dynamics for a single wind turbine across different atmospheric stability conditions and nacelle-yaw errors matches well with high-fidelity large-eddy simulation at a small fraction of the computational expense. This paper presents a validation of FAST.Farm against large-eddy simulation for a series of cases - independent from those used to support the calibration - considering single-turbine and small wind-farm scenarios, which are both subject to variations in inflow and control. The validation has demonstrated that FAST.Farm reasonably accurately predicts: (1) thrust and power for individual turbines both in isolation and down the row of the small wind farm, (2) wake meandering behavior across different atmospheric conditions, and (3) averaged wake-deficit advection, evolution, and merging effects. As a result, the validation also highlights potential physics that could be improved in FAST.Farm in the future.},
doi = {10.1088/1742-6596/1037/6/062005},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 1037,
place = {United States},
year = {2018},
month = {6}
}

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