Validation of FAST.Farm Against Large-Eddy Simulations

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 dynami...

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Published in:Journal of physics. Conference series 2018-06, Vol.1037 (6), p.62005
Main Authors: Jonkman, J, Doubrawa, P, Hamilton, N, Annoni, J, Fleming, P
Format: Article
Language:English
Subjects:
Atmospheric models
Calibration
Dynamic stability
FAST.Farm SOWFA
Large eddy simulation
Physics
power
structural loads
validation
Vortices
wake and array effects
WIND ENERGY
wind farm
Wind farms
Wind power
Wind turbines
Yaw
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cited_by cdi_FETCH-LOGICAL-c3555-d8d8ccadd3379a9710ad1c000ff4463870dc04fa61460dfdd81f5c0e0687a58e3
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container_end_page
container_issue 6
container_start_page 62005
container_title Journal of physics. Conference series
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creator Jonkman, J
Doubrawa, P
Hamilton, N
Annoni, J
Fleming, P
description 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. The validation also highlights potential physics that could be improved in FAST.Farm in the future.
doi_str_mv 10.1088/1742-6596/1037/6/062005
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subjects Atmospheric models
Calibration
Dynamic stability
FAST.Farm SOWFA
Large eddy simulation
Physics
power
structural loads
validation
Vortices
wake and array effects
WIND ENERGY
wind farm
Wind farms
Wind power
Wind turbines
Yaw
title Validation of FAST.Farm Against Large-Eddy Simulations
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