Validation of a CFD model with a synchronized triple-lidar system in the wind turbine induction zone

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Abstract

A novel validation methodology allows verifying a CFD model over the entire wind turbine induction zone using measurements from three synchronized lidars. The validation procedure relies on spatially discretizing the probability density function of the measured free-stream wind speed. The resulting distributions are reproduced numerically by weighting steady-state Reynolds averaged Navier-Stokes simulations accordingly. The only input varying between these computations is the velocity at the inlet boundary. The rotor is modelled using an actuator disc. So as to compare lidar and simulations, the spatial and temporal uncertainty of the measurements is quantified and propagated through the data processing. For all velocity components the maximal difference between measurements and model are below 4.5% relative to the average wind speed for most of the validation space. This applies to both mean and standard deviation. One rotor radius upstream the difference reaches maximally 1.3% for the axial component.
Original languageEnglish
JournalWind Energy
Volume20
Pages (from-to)1481-1498
Number of pages18
ISSN1095-4244
DOIs
Publication statusPublished - 2017

Keywords

  • Renewable Energy, Sustainability and the Environment
  • Blockage effect
  • CFD
  • Induction zone
  • Lidar
  • Uncertainty quantification
  • Upstream flow
  • Validation
  • Actuator disks
  • Computational fluid dynamics
  • Data handling
  • Navier Stokes equations
  • Optical radar
  • Uncertainty analysis
  • Wind
  • Wind turbines
  • Blockage effects
  • Mean and standard deviations
  • Measurements and modeling
  • Reynolds-averaged navier-stokes simulations
  • Uncertainty quantifications
  • Validation methodologies
  • Probability density function

Cite this

@article{ef413c3efe6e4a33965220102172fb05,
title = "Validation of a CFD model with a synchronized triple-lidar system in the wind turbine induction zone",
abstract = "A novel validation methodology allows verifying a CFD model over the entire wind turbine induction zone using measurements from three synchronized lidars. The validation procedure relies on spatially discretizing the probability density function of the measured free-stream wind speed. The resulting distributions are reproduced numerically by weighting steady-state Reynolds averaged Navier-Stokes simulations accordingly. The only input varying between these computations is the velocity at the inlet boundary. The rotor is modelled using an actuator disc. So as to compare lidar and simulations, the spatial and temporal uncertainty of the measurements is quantified and propagated through the data processing. For all velocity components the maximal difference between measurements and model are below 4.5{\%} relative to the average wind speed for most of the validation space. This applies to both mean and standard deviation. One rotor radius upstream the difference reaches maximally 1.3{\%} for the axial component.",
keywords = "Renewable Energy, Sustainability and the Environment, Blockage effect, CFD, Induction zone, Lidar, Uncertainty quantification, Upstream flow, Validation, Actuator disks, Computational fluid dynamics, Data handling, Navier Stokes equations, Optical radar, Uncertainty analysis, Wind, Wind turbines, Blockage effects, Mean and standard deviations, Measurements and modeling, Reynolds-averaged navier-stokes simulations, Uncertainty quantifications, Validation methodologies, Probability density function",
author = "{Meyer Forsting}, {Alexander Raul} and Niels Troldborg and {Murcia Leon}, {Juan Pablo} and Ameya Sathe and Nikolas Angelou and Andrea Vignaroli",
year = "2017",
doi = "10.1002/we.2103",
language = "English",
volume = "20",
pages = "1481--1498",
journal = "Wind Energy",
issn = "1095-4244",
publisher = "JohnWiley & Sons Ltd.",

}

TY - JOUR

T1 - Validation of a CFD model with a synchronized triple-lidar system in the wind turbine induction zone

AU - Meyer Forsting, Alexander Raul

AU - Troldborg, Niels

AU - Murcia Leon, Juan Pablo

AU - Sathe, Ameya

AU - Angelou, Nikolas

AU - Vignaroli, Andrea

PY - 2017

Y1 - 2017

N2 - A novel validation methodology allows verifying a CFD model over the entire wind turbine induction zone using measurements from three synchronized lidars. The validation procedure relies on spatially discretizing the probability density function of the measured free-stream wind speed. The resulting distributions are reproduced numerically by weighting steady-state Reynolds averaged Navier-Stokes simulations accordingly. The only input varying between these computations is the velocity at the inlet boundary. The rotor is modelled using an actuator disc. So as to compare lidar and simulations, the spatial and temporal uncertainty of the measurements is quantified and propagated through the data processing. For all velocity components the maximal difference between measurements and model are below 4.5% relative to the average wind speed for most of the validation space. This applies to both mean and standard deviation. One rotor radius upstream the difference reaches maximally 1.3% for the axial component.

AB - A novel validation methodology allows verifying a CFD model over the entire wind turbine induction zone using measurements from three synchronized lidars. The validation procedure relies on spatially discretizing the probability density function of the measured free-stream wind speed. The resulting distributions are reproduced numerically by weighting steady-state Reynolds averaged Navier-Stokes simulations accordingly. The only input varying between these computations is the velocity at the inlet boundary. The rotor is modelled using an actuator disc. So as to compare lidar and simulations, the spatial and temporal uncertainty of the measurements is quantified and propagated through the data processing. For all velocity components the maximal difference between measurements and model are below 4.5% relative to the average wind speed for most of the validation space. This applies to both mean and standard deviation. One rotor radius upstream the difference reaches maximally 1.3% for the axial component.

KW - Renewable Energy, Sustainability and the Environment

KW - Blockage effect

KW - CFD

KW - Induction zone

KW - Lidar

KW - Uncertainty quantification

KW - Upstream flow

KW - Validation

KW - Actuator disks

KW - Computational fluid dynamics

KW - Data handling

KW - Navier Stokes equations

KW - Optical radar

KW - Uncertainty analysis

KW - Wind

KW - Wind turbines

KW - Blockage effects

KW - Mean and standard deviations

KW - Measurements and modeling

KW - Reynolds-averaged navier-stokes simulations

KW - Uncertainty quantifications

KW - Validation methodologies

KW - Probability density function

U2 - 10.1002/we.2103

DO - 10.1002/we.2103

M3 - Journal article

VL - 20

SP - 1481

EP - 1498

JO - Wind Energy

JF - Wind Energy

SN - 1095-4244

ER -