The Forcing of Wind Turbine Rotors by True Weather Events as a Function of Atmospheric Stability State*

Size: px
Start display at page:

Download "The Forcing of Wind Turbine Rotors by True Weather Events as a Function of Atmospheric Stability State*"

Transcription

1 NAWEA 2015 Symposium 11 June 2015 Virginia Tech, Blacksburg, VA The Forcing of Wind Turbine Rotors by True Weather Events as a Function of Atmospheric Stability State* Balaji Jayaraman 1 and James G. Brasseur 1 Collaborators: Jared Lee 2, Tyler McCandless 2 and Sue Haupt 2 1 Department of Mechanical Engineering, The Pennsylvania State University, USA 2 National Center for Atmospheric Research (NCAR), USA *Supported by: DOE (EERE) Offshore Wind Technology Development Program Computer Resources: NSF XSEDE program; Penn State University Institute of Cyber Science 1

2 The DOE Penn State Cyber Wind Facility Program Weather Research and Forecasting (WRF) MESOSCALE, WEATHER (URANS/WRF) *ATMOSPHERIC BOUNDARY LAYER TURBULENT WINDS (4-D LES) ABL-LES *PLATFORM-WAVE HYDRODYNAMICS and 6-DOF MOTIONS (Hybrid URANS/LES +VOF) *BLADE AERODYNAMICS, SPACE-TIME LOADINGS (Hybrid URANS/LES) *Shaft Torque, *Drivetrain Loadings WAKE TURBULENCE BLADE-WAKE-ATMOSPHERE (Actuator Vortex Body Embedding within LES) WAKE- TURBINE INTERACTIONS (wind plant) *BLADE AND *TOWER ELASTIC DEFORMATION (FEM, Modal model + FSI) *sensors, controllers, diagnostics CYBER WIND FACILITY highly resolved 4-D cyber data coupled atmospheric turbulence-blade loadings-shaft torque data

3 Daytime Atmospheric Boundary Layer (ABL) and Stability θ=potential temperature z i Θ SHEAR -<uw> U M - (mesoscale wind) BUOYANCY (CONVECTION) <wθ> Solar heating Q 0 (>0) buoyancy-dominated MIXED LAYER Shear-dominated SURFACE LA YER Q 0 >0 z i - Inversion Height of the ABL 3 u* L Q g / T 0 0 Obukhov Length ABL Stability parameter: -z i /L -z i /L << 1 near neutral ABL (purely shear-driven) -z i /L ~1-10 Moderately convective (shear & buoyancy) -z i /L >>1 Convective (purely buoyancy-driven) 3

4 Canonical Equilibrium ABL Turbulence Equilibrium ABL is well understood Large Eddy Simulation (LES) Field Experiments NEUTRAL (NBL) Streaks MODERATELY CONVECTIVE (MCBL) Rolls Businger (1971) Solar heating Q 0 (>0) Khanna & Brasseur, 1998; Moeng & Sullivan,1994, Jayaraman & Brasseur (in preparation) Canonical Equilibrium ABL: (a) Horizontal homogeneity (roughness, Q 0,U M. ) (b) Quasi-stationarity How non-stationarity in Q 0 and U M impact ABL structure? 4

5 Mesoscale-driven Non-Stationary ABL WRF: Weather Research and Forecasting Wind magnitude U g (t) 700 km Mid-Western USA (WRF domain) (Apr, 15 th, 2012) Q 0 U M (t) 1 WRF cell (5km) = size of LES domain for ABL Wind direction U M (t)-direction Define 1100 km U g (t)-direction Dynamical relationship between and is : Non-stationary ABL In the stationary limit, Stationary/ Equilibrium ABL Non-stationarity in U M Deviation of U g from U M Non-equilibrium ABL? 5

6 LES of Non-stationary ABL Pseudo-spectral algorithm Mesoscale Wind, U M (t) Grid: 324x324x144 before dealiasing. SFS model: 1-eq. eddy viscosity. Periodic 2 km Non-stationarity: U M (t) and Q 0 (t) from WRF data. Surface Flux BCs Q 0 (t) 5 km Series of academic Dissection cases for fundamental analysis Dynamical Relationship between U M (t) and U g (t) : Continuity: Momentum: Potential Temperature: Bousinesq Coriolis 6

7 Non-equilibrium Effects: From Nonstationarity in Surface Heat Flux (Diurnal Changes) Q 0 U M (t) (symmetric) U g (t) U M (t)-direction U g (t)-direction MCBL NBL -z i /L Time Q 0 (K.m/s) -z i /L U M (t) (m/s) Non-stationarity (diurnal) in Q 0 Deviation from equilibrium of ABL Turbulence. 7

8 Non-equilibrium Effects: Q 0 time history on ABL Stability 8 Asymmetric 1 Asymmetric 2 Q 0 Q 0 Moderately convective ABL -z i /L -z i /L Neutral ABL Structure of ABL turbulence depends not-only on non-stationarity, but also on timehistory deviation from equilibrium

9 9 Change in ABL Stability from Changing Wind Direction Case 1 (f and ω ) blue- U M (t)-direction Case 2 (f and ω ) red - U g (t)-direction case 1 U M ω Case 1 f (out of plane) case 2 ω U M Case 2 Q 0 is invariant and non-zero. U M is constant with time ABL unstable ABL neutral Change in direction of U M alone modifies z i /L.

10 Why does ABL stability state change with no change in Q 0? Case 1 (f and ω ) Case 2 (f and ω ) u * u * - z i L = z kq g / T i 0 0 = k w 3 * 3 3 u * u * 1/u* 3 1/u* 3 κw* 3 κw* 3

11 Change in Wind Direction can alter ABL Structure 11 Q 0 is invariant and non-zero. blue- U M (t)-direction red - U g (t)-direction Initial z i /L = 0.41 U M is constant with time unstable 6 near neutral 5 Relationship between stability state, z i /L and ABL turbulence structure (next slide)

12 Effect of Change in Wind Direction : ABL Turbulence 3D Structure 1: -z i /L = : -z i /L = : -z i /L = AM PM 14.:11 PM 4 : -z i /L = : -z i /L = : -z i /L = :28 PM 16:56 PM 17:30 PM u -isocontours (-2σ u to +2σ u ) at 10% ABL height 12

13 Forcing of Wind Turbine Rotors by ABL Turbulence 13 Rotor in daytime ABL Turbulence Blade cuts through eddies Non-steady changes in sectional flow angles 3D non-steady separation dynamics and transient loadings Image made by Adam Lavely at Penn State CWF Passive Wind Turbine Analysis Imagine a hypothetical wind turbine in ABL flow Effect of wind turbine on ABL flow is not modeled Estimate temporal variations in Flow Angles relative to blade sections

14 Forcing of WT Rotors by Equilibrium ABL Turbulence Single blade section at R=60m, Hub height = 90 m RPM = 12 Pitch = twist = 0 o 10 min window 7-hours U hub Near-Neutral ABL -z i /L=0.41 <θ> 4 o Δθ 3 o θ θ U hub Moderately Convective BL -z i /L=2.4 θ Δθ 8 o <θ> 11 o

15 Forcing of WT Rotors by ABL Turbulence : Non-equilibrium ABL Q 0, U M are invariant U M (t)-direction U g (t)-direction Single blade section at R=60m, Hub height = 90 m RPM = 12 Pitch = twist = 0 o θ Unstable ABL θ Δθ 3.5 o 8-hours Δθ 2.5 o Neutral ABL

16 Summary Performed LES studies of non-stationary mesoscale forcing of ABL Non-stationarity in mesoscale occurs from two sources (a) U M (t) and Q o (t) diurnal cycle (b) Non-stationarity causes the mesoscale wind vector, U M (t) to deviate from the geostrophic wind vector, U g (t). Non-stationarity Non-equilibrium ABL turbulence With a non-zero steady surface heat flux, Q o, change in direction of mesoscale wind vector, U M (t) can modify ABL stability state. Time history of diurnal variation of Q 0 causes deviation of the ABL from equilibrium. Preliminary experiments indicate change in z i /L changes the mean and small-scale variability of the flow angles differently in equilibrium and non-equilibrium forcing. 16

Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting

Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting Detlev Heinemann ForWind Center for Wind Energy Research Energy Meteorology Unit, Oldenburg University Contents Model Physics

More information

Measurements and Simulations of Wakes in Onshore Wind Farms Julie K. Lundquist 1,2

Measurements and Simulations of Wakes in Onshore Wind Farms Julie K. Lundquist 1,2 Measurements and Simulations of Wakes in Onshore Wind Farms Julie K. Lundquist 1,2 1 University of Colorado Boulder, 2 National Renewable Energy Laboratory NORCOWE 2016, 14 16 Sept 2016, Bergen, Norway

More information

Modeling the atmosphere of Jupiter

Modeling the atmosphere of Jupiter Modeling the atmosphere of Jupiter Bruce Turkington UMass Amherst Collaborators: Richard S. Ellis (UMass Professor) Andrew Majda (NYU Professor) Mark DiBattista (NYU Postdoc) Kyle Haven (UMass PhD Student)

More information

The impact of the diurnal cycle of the atmospheric boundary layer on physical variables relevant for wind energy applications

The impact of the diurnal cycle of the atmospheric boundary layer on physical variables relevant for wind energy applications The impact of the diurnal cycle of the atmospheric boundary layer on physical variables relevant for wind energy applications Antonia Englberger 1 and Andreas Dörnbrack 1 1 Institut für Physik der Atmosphäre,

More information

Chapter (3) TURBULENCE KINETIC ENERGY

Chapter (3) TURBULENCE KINETIC ENERGY Chapter (3) TURBULENCE KINETIC ENERGY 3.1 The TKE budget Derivation : The definition of TKE presented is TKE/m= e = 0.5 ( u 2 + v 2 + w 2 ). we recognize immediately that TKE/m is nothing more than the

More information

Lecture 4: Wind energy

Lecture 4: Wind energy ES427: The Natural Environment and Engineering Global warming and renewable energy Lecture 4: Wind energy Philip Davies Room A322 philip.davies@warwick.ac.uk 1 Overview of topic Wind resources Origin of

More information

MPAS Atmospheric Boundary Layer Simulation under Selected Stability Conditions: Evaluation using the SWIFT dataset

MPAS Atmospheric Boundary Layer Simulation under Selected Stability Conditions: Evaluation using the SWIFT dataset MPAS Atmospheric Boundary Layer Simulation under Selected Stability Conditions: Evaluation using the SWIFT dataset Rao Kotamarthi, Yan Feng, and Jiali Wang Argonne National Laboratory & MMC Team Motivation:

More information

Contents. I Introduction 1. Preface. xiii

Contents. I Introduction 1. Preface. xiii Contents Preface xiii I Introduction 1 1 Continuous matter 3 1.1 Molecules................................ 4 1.2 The continuum approximation.................... 6 1.3 Newtonian mechanics.........................

More information

The Atmospheric Boundary Layer. The Surface Energy Balance (9.2)

The Atmospheric Boundary Layer. The Surface Energy Balance (9.2) The Atmospheric Boundary Layer Turbulence (9.1) The Surface Energy Balance (9.2) Vertical Structure (9.3) Evolution (9.4) Special Effects (9.5) The Boundary Layer in Context (9.6) Fair Weather over Land

More information

Atmospheric Boundary Layers

Atmospheric Boundary Layers Lecture for International Summer School on the Atmospheric Boundary Layer, Les Houches, France, June 17, 2008 Atmospheric Boundary Layers Bert Holtslag Introducing the latest developments in theoretical

More information

Wake meandering under non-neutral atmospheric stability conditions theory and facts. G.C. Larsen, E. Machefaux and A. Chougule

Wake meandering under non-neutral atmospheric stability conditions theory and facts. G.C. Larsen, E. Machefaux and A. Chougule Wake meandering under non-neutral atmospheric stability conditions theory and facts G.C. Larsen, E. Machefaux and A. Chougule Outline Introduction The DWM model Atmospheric stability DWM atmospheric stability

More information

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2)

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) The ABL, though turbulent, is not homogeneous, and a critical role of turbulence is transport and mixing of air properties, especially in the

More information

τ xz = τ measured close to the the surface (often at z=5m) these three scales represent inner unit or near wall normalization

τ xz = τ measured close to the the surface (often at z=5m) these three scales represent inner unit or near wall normalization τ xz = τ measured close to the the surface (often at z=5m) these three scales represent inner unit or near wall normalization Note that w *3 /z i is used to normalized the TKE equation in case of free

More information

The Atmospheric Boundary Layer. The Surface Energy Balance (9.2)

The Atmospheric Boundary Layer. The Surface Energy Balance (9.2) The Atmospheric Boundary Layer Turbulence (9.1) The Surface Energy Balance (9.2) Vertical Structure (9.3) Evolution (9.4) Special Effects (9.5) The Boundary Layer in Context (9.6) Atm S 547 Lecture 4,

More information

Simulating the Vertical Structure of the Wind with the WRF Model

Simulating the Vertical Structure of the Wind with the WRF Model Simulating the Vertical Structure of the Wind with the WRF Model Andrea N Hahmann, Caroline Draxl, Alfredo Peña, Jake Badger, Xiaoli Lársen, and Joakim R. Nielsen Wind Energy Division Risø National Laboratory

More information

Large eddy simulation studies on convective atmospheric boundary layer

Large eddy simulation studies on convective atmospheric boundary layer Large eddy simulation studies on convective atmospheric boundary layer Antti Hellsten & Sergej Zilitinkevich Finnish Meteorological Institute Outline Short introduction to atmospheric boundary layer (ABL)

More information

arxiv: v1 [physics.flu-dyn] 11 Oct 2012

arxiv: v1 [physics.flu-dyn] 11 Oct 2012 Low-Order Modelling of Blade-Induced Turbulence for RANS Actuator Disk Computations of Wind and Tidal Turbines Takafumi Nishino and Richard H. J. Willden ariv:20.373v [physics.flu-dyn] Oct 202 Abstract

More information

Rotor reference axis

Rotor reference axis Rotor reference axis So far we have used the same reference axis: Z aligned with the rotor shaft Y perpendicular to Z and along the blade (in the rotor plane). X in the rotor plane and perpendicular do

More information

Results of the GABLS3 diurnal-cycle benchmark for wind energy applications

Results of the GABLS3 diurnal-cycle benchmark for wind energy applications Results of the GABLS3 diurnal-cycle benchmark for wind energy applications Javier Sanz Rodrigo Wake Conference 2017 Visby, 1 June 2017 GABLS 3: Boundary-layer characteristics (Bosveld et al., 2014) Cabauw

More information

Temperature fronts and vortical structures in turbulent stably stratified atmospheric boundary layers

Temperature fronts and vortical structures in turbulent stably stratified atmospheric boundary layers VIIIth International Symposium on Stratified Flows August 29 - September 1 2016, San Diego, CA Temperature fronts and vortical structures in turbulent stably stratified atmospheric boundary layers Peter

More information

Adaptive Control of Variable-Speed Variable-Pitch Wind Turbines Using RBF Neural Network

Adaptive Control of Variable-Speed Variable-Pitch Wind Turbines Using RBF Neural Network Schulich School of Engineering Department of Mechanical and Manufacturing Engineering Adaptive Control of Variable-Speed Variable-Pitch Wind Turbines Using RBF Neural Network By: Hamidreza Jafarnejadsani,

More information

Logarithmic velocity profile in the atmospheric (rough wall) boundary layer

Logarithmic velocity profile in the atmospheric (rough wall) boundary layer Logarithmic velocity profile in the atmospheric (rough wall) boundary layer P =< u w > U z = u 2 U z ~ ε = u 3 /kz Mean velocity profile in the Atmospheric Boundary layer Experimentally it was found that

More information

Boundary Layer Meteorology. Chapter 2

Boundary Layer Meteorology. Chapter 2 Boundary Layer Meteorology Chapter 2 Contents Some mathematical tools: Statistics The turbulence spectrum Energy cascade, The spectral gap Mean and turbulent parts of the flow Some basic statistical methods

More information

GENERALISATION OF THE TWO-SCALE MOMENTUM THEORY FOR COUPLED WIND TURBINE/FARM OPTIMISATION

GENERALISATION OF THE TWO-SCALE MOMENTUM THEORY FOR COUPLED WIND TURBINE/FARM OPTIMISATION 25 th National Symposium on Wind Engineering, Tokyo, Japan, 3-5 December 2018 第 25 回風工学シンポジウム (2018) GENERALISATION OF THE TWO-SCALE MOMENTUM THEORY FOR COUPLED WIND TURBINE/FARM OPTIMISATION Takafumi

More information

Wind Assessment & Forecasting

Wind Assessment & Forecasting Wind Assessment & Forecasting GCEP Energy Workshop Stanford University April 26, 2004 Mark Ahlstrom CEO, WindLogics Inc. mark@windlogics.com WindLogics Background Founders from supercomputing industry

More information

Turbulent momentum flux characterization using extended multiresolution analysis

Turbulent momentum flux characterization using extended multiresolution analysis Quarterly Journalof the RoyalMeteorologicalSociety Q. J. R. Meteorol. Soc. 4: 75 728, July 24 A DOI:.2/qj.2252 Turbulent momentum flux characterization using extended multiresolution analysis Erik Olof

More information

WQMAP (Water Quality Mapping and Analysis Program) is a proprietary. modeling system developed by Applied Science Associates, Inc.

WQMAP (Water Quality Mapping and Analysis Program) is a proprietary. modeling system developed by Applied Science Associates, Inc. Appendix A. ASA s WQMAP WQMAP (Water Quality Mapping and Analysis Program) is a proprietary modeling system developed by Applied Science Associates, Inc. and the University of Rhode Island for water quality

More information

Direct and Large Eddy Simulation of stably stratified turbulent Ekman layers

Direct and Large Eddy Simulation of stably stratified turbulent Ekman layers Direct and Large Eddy Simulation of stably stratified turbulent Ekman layers Stimit Shah, Elie Bou-Zeid Princeton University 64 th APS DFD Baltimore, Maryland Nov 21, 211 Effect of Stability on Atmospheric

More information

Step Motor Modeling. Step Motor Modeling K. Craig 1

Step Motor Modeling. Step Motor Modeling K. Craig 1 Step Motor Modeling Step Motor Modeling K. Craig 1 Stepper Motor Models Under steady operation at low speeds, we usually do not need to differentiate between VR motors and PM motors (a hybrid motor is

More information

A Community Gridded Atmospheric Forecast System for Calibrated Solar Irradiance

A Community Gridded Atmospheric Forecast System for Calibrated Solar Irradiance A Community Gridded Atmospheric Forecast System for Calibrated Solar Irradiance David John Gagne 1,2 Sue E. Haupt 1,3 Seth Linden 1 Gerry Wiener 1 1. NCAR RAL 2. University of Oklahoma 3. Penn State University

More information

There are no simple turbulent flows

There are no simple turbulent flows Turbulence 1 There are no simple turbulent flows Turbulent boundary layer: Instantaneous velocity field (snapshot) Ref: Prof. M. Gad-el-Hak, University of Notre Dame Prediction of turbulent flows standard

More information

National Center for Atmospheric Research Research Applications Laboratory Renewable Energy

National Center for Atmospheric Research Research Applications Laboratory Renewable Energy National Center for Atmospheric Research Research Applications Laboratory Renewable Energy Dr. Sue Ellen Haupt, Director & Dr. Branko Kosovic, Program Manager Weather Systems & Assessment Program Research

More information

Penn State Center for Acoustics and Vibration

Penn State Center for Acoustics and Vibration Penn State Center for Acoustics and Vibration Structural Vibration and Acoustics Group Presented as part of the 2012 Spring workshop Stephen Hambric, Group Leader Marty Trethewey Stephen Conlon Andrew

More information

Effects of transfer processes on marine atmospheric boundary layer or Effects of boundary layer processes on air-sea exchange

Effects of transfer processes on marine atmospheric boundary layer or Effects of boundary layer processes on air-sea exchange Effects of transfer processes on marine atmospheric boundary layer or Effects of boundary layer processes on air-sea exchange Ann-Sofi Smedman Uppsala University Uppsala, Sweden Effect of transfer process

More information

Nesting large-eddy simulations within mesoscale simulations in WRF for wind energy applications

Nesting large-eddy simulations within mesoscale simulations in WRF for wind energy applications Performance Measures x.x, x.x, and x.x Nesting large-eddy simulations within mesoscale simulations in WRF for wind energy applications Julie K. Lundquist Jeff Mirocha, Branko Kosović 9 WRF User s Workshop,

More information

Flow-Induced Noise Technical Group

Flow-Induced Noise Technical Group Flow-Induced Noise Technical Group Center for Acoustics and Vibration Spring Workshop April 30, 2014 Presented by: Dean E. Capone, Group Leader 1 Overview The mission of the Flow-Induced Noise Group of

More information

Characterizing Long-Time Variations in Fully Developed Wind-Turbine Array Boundary-Layers using Proper Orthogonal Decomposition

Characterizing Long-Time Variations in Fully Developed Wind-Turbine Array Boundary-Layers using Proper Orthogonal Decomposition Characterizing Long-Time Variations in Fully Developed Wind-Turbine Array Boundary-Layers using Proper Orthogonal Decomposition Claire VerHulst & Charles Meneveau NAWEA Meeting in Blacksburg, VA Graduate

More information

Fluid Dynamic Simulations of Wind Turbines. John Abraham, Brian Plourde, Greg Mowry University of St. Thomas

Fluid Dynamic Simulations of Wind Turbines. John Abraham, Brian Plourde, Greg Mowry University of St. Thomas Fluid Dynamic Simulations of Wind Turbines John Abraham, Brian Plourde, Greg Mowry University of St. Thomas 1 Presentation Overview Why vertical-axis turbines? How are they modeled? How much energy can

More information

Roughness Sub Layers John Finnigan, Roger Shaw, Ned Patton, Ian Harman

Roughness Sub Layers John Finnigan, Roger Shaw, Ned Patton, Ian Harman Roughness Sub Layers John Finnigan, Roger Shaw, Ned Patton, Ian Harman 1. Characteristics of the Roughness Sub layer With well understood caveats, the time averaged statistics of flow in the atmospheric

More information

Warm weather s a comin!

Warm weather s a comin! Warm weather s a comin! Performance Dependence on Closure Constants of the MYNN PBL Scheme for Wind Ramp Events in a Stable Boundary Layer David E. Jahn IGERT Wind Energy Science Engineering and Policy

More information

An Investigation of the Eddy-Covariance Flux Imbalance in a Year-Long Large-Eddy Simulation of the Weather at Cabauw

An Investigation of the Eddy-Covariance Flux Imbalance in a Year-Long Large-Eddy Simulation of the Weather at Cabauw Boundary-Layer Meteorol (216) 16:17 39 DOI 1.17/s1546-16-138-9 RESEARCH ARTICLE An Investigation of the Eddy-Covariance Flux Imbalance in a Year-Long Large-Eddy Simulation of the Weather at Cabauw Jerôme

More information

LECTURE 28. The Planetary Boundary Layer

LECTURE 28. The Planetary Boundary Layer LECTURE 28 The Planetary Boundary Layer The planetary boundary layer (PBL) [also known as atmospheric boundary layer (ABL)] is the lower part of the atmosphere in which the flow is strongly influenced

More information

Assessing WRF PBL Schemes for Wind Energy Applications

Assessing WRF PBL Schemes for Wind Energy Applications Assessing WRF PBL Schemes for Wind Energy Applications Branko Kosović, Yubao Liu, Youwei Liu, Will Cheng NCAR Workshop May 12, 21 NATIONAL CENTER FOR ATMOSPHERIC RESEARCH In the Past PBL Parameterizations

More information

Lecture 12. The diurnal cycle and the nocturnal BL

Lecture 12. The diurnal cycle and the nocturnal BL Lecture 12. The diurnal cycle and the nocturnal BL Over flat land, under clear skies and with weak thermal advection, the atmospheric boundary layer undergoes a pronounced diurnal cycle. A schematic and

More information

Wind Turbine Control

Wind Turbine Control Wind Turbine Control W. E. Leithead University of Strathclyde, Glasgow Supergen Student Workshop 1 Outline 1. Introduction 2. Control Basics 3. General Control Objectives 4. Constant Speed Pitch Regulated

More information

Reduction of the rotor blade root bending moment and increase of the rotational-speed strength of a 5 MW IPC wind turbine based on a stochastic

Reduction of the rotor blade root bending moment and increase of the rotational-speed strength of a 5 MW IPC wind turbine based on a stochastic Chart 1 Reduction of the rotor blade root bending moment and increase of the rotational-speed strength of a 5 MW IPC wind turbine based on a stochastic disturbance observer By : Taha Fouda Supervised by:

More information

African Easterly Waves and Convection: A Potential Vorticity Perspective. James Russell & Anantha Aiyyer North Carolina State University

African Easterly Waves and Convection: A Potential Vorticity Perspective. James Russell & Anantha Aiyyer North Carolina State University African Easterly Waves and Convection: A Potential Vorticity Perspective James Russell & Anantha Aiyyer North Carolina State University Background 1. Introduction Early studies described AEWs as dry adiabatic

More information

Part I: Dry Convection

Part I: Dry Convection Turbulent dispersion and chemical transformation in the atmospheric boundary layer: Part I: Dry Convection DISPERSION Thanks: Alessandro Dosio Jordi Vilà-Guerau de Arellano WA G E N I N G E N U N I VE

More information

Chuichi Arakawa Graduate School of Interdisciplinary Information Studies, the University of Tokyo. Chuichi Arakawa

Chuichi Arakawa Graduate School of Interdisciplinary Information Studies, the University of Tokyo. Chuichi Arakawa Direct Numerical Simulations of Fundamental Turbulent Flows with the Largest Grid Numbers in the World and its Application of Modeling for Engineering Turbulent Flows Project Representative Chuichi Arakawa

More information

Implementation of the Quasi-Normal Scale Elimination (QNSE) Model of Stably Stratified Turbulence in WRF

Implementation of the Quasi-Normal Scale Elimination (QNSE) Model of Stably Stratified Turbulence in WRF Implementation of the Quasi-ormal Scale Elimination (QSE) odel of Stably Stratified Turbulence in WRF Semion Sukoriansky (Ben-Gurion University of the egev Beer-Sheva, Israel) Implementation of the Quasi-ormal

More information

Ch. Kasprzyk, TU Dresden

Ch. Kasprzyk, TU Dresden LES Simulation of Turbulent Flow and Heat Transfer in Cavities of a Heat Sink Ch. Kasprzyk, TU Dresden Th. Frank, F. Menter, ANSYS Germany B. Vogt, Th. Scherer, VOITH Hydro Presentation ACUM 2014, Nürnberg,

More information

LARGE-EDDY SIMULATIONS OF A WIND TURBINE WAKE ABOVE A FOREST

LARGE-EDDY SIMULATIONS OF A WIND TURBINE WAKE ABOVE A FOREST LARGE-EDDY SIMULATIONS OF A WIND TURBINE WAKE ABOVE A FOREST Josef Schröttle a,c, Zbigniew Piotrowski b, Thomas Gerz a, Antonia Englberger a, Andreas Dörnbrack a a Institute for Atmospheric Physics, German

More information

Resolution of tower shadow models for downwind mounted rotors and its effects on the blade fatigue

Resolution of tower shadow models for downwind mounted rotors and its effects on the blade fatigue Journal of Physics: Conference Series OPEN ACCESS Resolution of tower shadow models for downwind mounted rotors and its effects on the blade fatigue To cite this article: M Reiso and M Muskulus 2014 J.

More information

LARGE-EDDY SIMULATIONS OF A WIND TURBINE WAKE ABOVE A FOREST

LARGE-EDDY SIMULATIONS OF A WIND TURBINE WAKE ABOVE A FOREST LARGE-EDDY SIMULATIONS OF A WIND TURBINE WAKE ABOVE A FOREST Josef Schröttle a and Zbigniew Piotrowski b Thanks for advice and discussion to: Andreas Dörnbracka, Thomas Gerza, Antonia Englbergera and Prof

More information

For the operational forecaster one important precondition for the diagnosis and prediction of

For the operational forecaster one important precondition for the diagnosis and prediction of Initiation of Deep Moist Convection at WV-Boundaries Vienna, Austria For the operational forecaster one important precondition for the diagnosis and prediction of convective activity is the availability

More information

Mechanical Engineering for Renewable Energy Systems. Wind Turbines

Mechanical Engineering for Renewable Energy Systems. Wind Turbines ENGINEERING TRIPOS PART IB PAPER 8 - ELECTIVE (2) Mechanical Engineering for Renewable Energy Systems Wind Turbines Lecture 3: Aerodynamic fundamentals Hugh Hunt Fundamental fluid mechanics limits to energy

More information

1 The Richardson Number 1 1a Flux Richardson Number b Gradient Richardson Number c Bulk Richardson Number The Obukhov Length 3

1 The Richardson Number 1 1a Flux Richardson Number b Gradient Richardson Number c Bulk Richardson Number The Obukhov Length 3 Contents 1 The Richardson Number 1 1a Flux Richardson Number...................... 1 1b Gradient Richardson Number.................... 2 1c Bulk Richardson Number...................... 3 2 The Obukhov

More information

Torques 1.0 Two torques We have written the swing equation where speed is in rad/sec as:

Torques 1.0 Two torques We have written the swing equation where speed is in rad/sec as: Torques 1.0 Two torques We have written the swing equation where speed is in rad/sec as: 2H Re ( t) T au T mu T eu (1) and when speed is in per-unit as 2H u ( t) Tau Tmu Teu (2) We note that in both cases

More information

Numerical Prediction Of Torque On Guide Vanes In A Reversible Pump-Turbine

Numerical Prediction Of Torque On Guide Vanes In A Reversible Pump-Turbine Journal of Multidisciplinary Engineering Science and Technology (JMEST) ISSN: 3159 Vol. 2 Issue 6, June - 215 Numerical Prediction Of Torque On Guide Vanes In A Reversible Pump-Turbine Turbine and pump

More information

Evaluating winds and vertical wind shear from Weather Research and Forecasting model forecasts using seven planetary boundary layer schemes

Evaluating winds and vertical wind shear from Weather Research and Forecasting model forecasts using seven planetary boundary layer schemes WIND ENERGY Wind Energ. 2014; 17:39 55 Published online 28 October 2012 in Wiley Online Library (wileyonlinelibrary.com)..1555 RESEARCH ARTICLE Evaluating winds and vertical wind shear from Weather Research

More information

The atmospheric boundary layer: Where the atmosphere meets the surface. The atmospheric boundary layer:

The atmospheric boundary layer: Where the atmosphere meets the surface. The atmospheric boundary layer: The atmospheric boundary layer: Utrecht Summer School on Physics of the Climate System Carleen Tijm-Reijmer IMAU The atmospheric boundary layer: Where the atmosphere meets the surface Photo: Mark Wolvenne:

More information

Observations and modeling of the daytime boundary layer around an isolated Mountain

Observations and modeling of the daytime boundary layer around an isolated Mountain Observations and modeling of the daytime boundary layer around an isolated Mountain Stephan De Wekker University of Virginia Sandip Pal (post-doc, February 2013) Mark Sghiatti (MS student, July 2013) Nevio

More information

Mechanical Engineering for Renewable Energy Systems. Dr. Digby Symons. Wind Turbine Blade Design

Mechanical Engineering for Renewable Energy Systems. Dr. Digby Symons. Wind Turbine Blade Design ENGINEERING TRIPOS PART IB PAPER 8 ELECTIVE () Mechanical Engineering for Renewable Energy Systems Dr. Digby Symons Wind Turbine Blade Design Student Handout CONTENTS 1 Introduction... 3 Wind Turbine Blade

More information

(Wind profile) Chapter five. 5.1 The Nature of Airflow over the surface:

(Wind profile) Chapter five. 5.1 The Nature of Airflow over the surface: Chapter five (Wind profile) 5.1 The Nature of Airflow over the surface: The fluid moving over a level surface exerts a horizontal force on the surface in the direction of motion of the fluid, such a drag

More information

TURBULENT KINETIC ENERGY

TURBULENT KINETIC ENERGY TURBULENT KINETIC ENERGY THE CLOSURE PROBLEM Prognostic Moment Equation Number Number of Ea. fg[i Q! Ilial.!.IokoQlI!!ol Ui au. First = at au.'u.' '_J_ ax j 3 6 ui'u/ au.'u.' a u.'u.'u k ' Second ' J =

More information

Iterative Learning Control for Smart Rotors in Wind turbines First Results

Iterative Learning Control for Smart Rotors in Wind turbines First Results Iterative Learning Control for Smart Rotors in Wind turbines First Results Owen Tutty 1, Mark Blackwell 2, Eric Rogers 3, Richard Sandberg 1 1 Engineering and the Environment University of Southampton

More information

Modeling of Permanent Magnet Synchronous Generator for Wind Energy Conversion System

Modeling of Permanent Magnet Synchronous Generator for Wind Energy Conversion System Modeling of Permanent Magnet Synchronous Generator for Wind Energy Conversion System T.SANTHANA KRISHNAN Assistant Professor (SG), Dept of Electrical & Electronics, Rajalakshmi Engineering College, Tamilnadu,

More information

Threats to the Power System

Threats to the Power System Threats to the Power System Energy Risk and Critical Infrastructure Workshop National Conference of State Legislatures William P. Mahoney III Deputy Director, Research Applications Laboratory National

More information

The Influence of Stable Boundary Layer Flows on Wind Turbine Fatigue Loads

The Influence of Stable Boundary Layer Flows on Wind Turbine Fatigue Loads 47th AIAA Aerospace Sciences Meeting Including The New Horizons Forum and Aerospace Exposition 5-8 January 2009, Orlando, Florida AIAA 2009-1405 The Influence of Stable Boundary Layer Flows on Wind Turbine

More information

Wind-turbine wakes responding to stably stratified flow over complex terrain

Wind-turbine wakes responding to stably stratified flow over complex terrain Journal of Physics: Conference Series PAPER OPEN ACCESS Wind-turbine wakes responding to stably stratified flow over complex terrain To cite this article: Antonia Englberger and Andreas Dörnbrack 2018

More information

Buffeting Response of Ultimate Loaded NREL 5MW Wind Turbine Blade using 3-dimensional CFD

Buffeting Response of Ultimate Loaded NREL 5MW Wind Turbine Blade using 3-dimensional CFD Buffeting Response of Ultimate Loaded NREL 5MW Wind Turbine Blade using 3-dimensional CFD *Byeong-Cheol Kim 1) and Youn-Ju Jeong 2) 1), 2) Structural Engineering Research Division, KICT, Il-San 411-712,

More information

A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing

A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing SEPTEMBER 2007 P L E I M 1383 A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing JONATHAN E. PLEIM Atmospheric Sciences Modeling Division,*

More information

IMPLEMENTATION OF PRESSURE BASED SOLVER FOR SU2. 3rd SU2 Developers Meet Akshay.K.R, Huseyin Ozdemir, Edwin van der Weide

IMPLEMENTATION OF PRESSURE BASED SOLVER FOR SU2. 3rd SU2 Developers Meet Akshay.K.R, Huseyin Ozdemir, Edwin van der Weide IMPLEMENTATION OF PRESSURE BASED SOLVER FOR SU2 3rd SU2 Developers Meet Akshay.K.R, Huseyin Ozdemir, Edwin van der Weide Content ECN part of TNO SU2 applications at ECN Incompressible flow solver Pressure-based

More information

Dynamometry Tutorial IMECE

Dynamometry Tutorial IMECE Dynamometry Tutorial IMECE2013-62800 2013 International Mechanical Engineering Congress and Exposition, San Diego, California Dr. Michael L. Jonson The Pennsylvania State University Applied Research Laboratory

More information

Turbulence in the Stable Boundary Layer

Turbulence in the Stable Boundary Layer Turbulence in the Stable Boundary Layer Chemical-Biological Information Systems Austin, TX 11 January 2006 Walter D. Bach, Jr. and Dennis M. Garvey AMSRD-ARL-RO-EV & -CI-EE JSTO Project: AO06MSB00x Outline

More information

Yanzhao Zhou, Dan Li, Heping Liu & Xin Li

Yanzhao Zhou, Dan Li, Heping Liu & Xin Li Diurnal Variations of the Flux Imbalance Over Homogeneous and Heterogeneous Landscapes Yanzhao Zhou, Dan Li, Heping Liu & Xin Li Boundary-Layer Meteorology An International Journal of Physical, Chemical

More information

Validation of Boundary Layer Winds from WRF Mesoscale Forecasts over Denmark

Validation of Boundary Layer Winds from WRF Mesoscale Forecasts over Denmark Downloaded from orbit.dtu.dk on: Dec 14, 2018 Validation of Boundary Layer Winds from WRF Mesoscale Forecasts over Denmark Hahmann, Andrea N.; Pena Diaz, Alfredo Published in: EWEC 2010 Proceedings online

More information

A Discussion on The Effect of Mesh Resolution on Convective Boundary Layer Statistics and Structures Generated by Large-Eddy Simulation by Sullivan

A Discussion on The Effect of Mesh Resolution on Convective Boundary Layer Statistics and Structures Generated by Large-Eddy Simulation by Sullivan 耶鲁 - 南京信息工程大学大气环境中心 Yale-NUIST Center on Atmospheric Environment A Discussion on The Effect of Mesh Resolution on Convective Boundary Layer Statistics and Structures Generated by Large-Eddy Simulation

More information

Aeroelastic effects of large blade deflections for wind turbines

Aeroelastic effects of large blade deflections for wind turbines Aeroelastic effects of large blade deflections for wind turbines Torben J. Larsen Anders M. Hansen Risoe, National Laboratory Risoe, National Laboratory P.O. Box 49, 4 Roskilde, Denmark P.O. Box 49, 4

More information

Aerodynamic Performance 1. Figure 1: Flowfield of a Wind Turbine and Actuator disc. Table 1: Properties of the actuator disk.

Aerodynamic Performance 1. Figure 1: Flowfield of a Wind Turbine and Actuator disc. Table 1: Properties of the actuator disk. Aerodynamic Performance 1 1 Momentum Theory Figure 1: Flowfield of a Wind Turbine and Actuator disc. Table 1: Properties of the actuator disk. 1. The flow is perfect fluid, steady, and incompressible.

More information

Reduction of unwanted swings and motions in floating wind turbines

Reduction of unwanted swings and motions in floating wind turbines Reduction of unwanted swings and motions in floating wind turbines L F Recalde, W E Leithead Department of Electronic and Electrical Engineering, Wind Energy and Control, University of Strathclyde, Glasgow,

More information

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model W. O Hirok and P. Ricchiazzi Institute for Computational Earth System Science University of California

More information

A comparison study of the two-bladed partial pitch turbine during normal operation and an extreme gust conditions

A comparison study of the two-bladed partial pitch turbine during normal operation and an extreme gust conditions Journal of Physics: Conference Series OPEN ACCESS A comparison study of the two-bladed partial pitch turbine during normal operation and an extreme gust conditions To cite this article: T Kim et al 2014

More information

Hurricanes are intense vortical (rotational) storms that develop over the tropical oceans in regions of very warm surface water.

Hurricanes are intense vortical (rotational) storms that develop over the tropical oceans in regions of very warm surface water. Hurricanes: Observations and Dynamics Houze Section 10.1. Holton Section 9.7. Emanuel, K. A., 1988: Toward a general theory of hurricanes. American Scientist, 76, 371-379 (web link). http://ww2010.atmos.uiuc.edu/(gh)/guides/mtr/hurr/home.rxml

More information

LECTURE NOTES ON THE Planetary Boundary Layer

LECTURE NOTES ON THE Planetary Boundary Layer LECTURE NOTES ON THE Planetary Boundary Layer Chin-Hoh Moeng prepared for lectures given at the Department of Atmospheric Science, CSU in 1994 & 1998 and at the Department of Atmospheric and Oceanic Sciences,

More information

DOPPLER LIDAR IN THE WIND FORECAST IMPROVEMENT PROJECTS

DOPPLER LIDAR IN THE WIND FORECAST IMPROVEMENT PROJECTS EPJ Web of Conferences 11911, 10001 (2016) DOPPLER LIDAR IN THE WIND FORECAST IMPROVEMENT PROJECTS Yelena Pichugina 1, 2*, Robert Banta 2, Alan Brewer 2, Aditya Choukulkar 1, 2, Melinda Marquis 2, Joe

More information

Cloud Structure and Entrainment in Marine Atmospheric Boundary Layers

Cloud Structure and Entrainment in Marine Atmospheric Boundary Layers Cloud Structure and Entrainment in Marine Atmospheric Boundary Layers David C. Lewellen MAE Dept., PO Box 6106, West Virginia University Morgantown, WV, 26506-6106 phone: (304) 293-3111 (x2332) fax: (304)

More information

Simulation of Aeroelastic System with Aerodynamic Nonlinearity

Simulation of Aeroelastic System with Aerodynamic Nonlinearity Simulation of Aeroelastic System with Aerodynamic Nonlinearity Muhamad Khairil Hafizi Mohd Zorkipli School of Aerospace Engineering, Universiti Sains Malaysia, Penang, MALAYSIA Norizham Abdul Razak School

More information

The applicability of Monin Obukhov scaling for sloped cooled flows in the context of Boundary Layer parameterization

The applicability of Monin Obukhov scaling for sloped cooled flows in the context of Boundary Layer parameterization Julia Palamarchuk Odessa State Environmental University, Ukraine The applicability of Monin Obukhov scaling for sloped cooled flows in the context of Boundary Layer parameterization The low-level katabatic

More information

Numerical Investigation of Aerodynamic Performance and Loads of a Novel Dual Rotor Wind Turbine

Numerical Investigation of Aerodynamic Performance and Loads of a Novel Dual Rotor Wind Turbine energies Article Numerical Investigation of Aerodynamic Performance and Loads of a Novel Dual Rotor Wind Turbine Behnam Moghadassian, Aaron Rosenberg and Anupam Sharma * Department of Aerospace Engineering,

More information

Aerodynamic Rotor Model for Unsteady Flow and Wake Impact

Aerodynamic Rotor Model for Unsteady Flow and Wake Impact Aerodynamic Rotor Model for Unsteady Flow and Wake Impact N. Bampalas, J. M. R. Graham Department of Aeronautics, Imperial College London, Prince Consort Road, London, SW7 2AZ June 28 1 (Steady Kutta condition)

More information

Analysis of one- and two-dimensional mean gust shapes using a largeeddy simulation model

Analysis of one- and two-dimensional mean gust shapes using a largeeddy simulation model Analysis of one- and two-dimensional mean gust shapes using a largeeddy simulation model Knigge, Christoph* 1), Raasch, Siegfried 1) 1) Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover,

More information

Investigating low-level jet wind profiles using two different lidars

Investigating low-level jet wind profiles using two different lidars Investigating low-level jet wind profiles using two different lidars B.J. Vanderwende 1 J.K. Lundquist 1,2 1. Atmospheric and Oceanic Sciences University of Colorado Boulder, CO USA 2. National Renewable

More information

3D hot-wire measurements of a wind turbine wake

3D hot-wire measurements of a wind turbine wake 1 3D hot-wire measurements of a wind turbine wake Pål Egil Eriksen PhD candidate, NTNU/NOWITECH Per-Åge Krogstad NTNU 2 Outline of the presentation Experimental setup Measurement technique Time averaged

More information

Validation of the actuator line and disc techniques using the New MEXICO measurements

Validation of the actuator line and disc techniques using the New MEXICO measurements Downloaded from orbit.dtu.dk on: Dec, 7 Validation of the actuator line and disc techniques using the New MEXICO measurements Sarmast, Sasan; Shen, Wen Z.; Zhu, Wei Jun; Mikkelsen, Robert Flemming; Breton,

More information

Large Eddy Simulation of an Inhomogeneous Atmospheric Boundary Layer under Neutral Conditions

Large Eddy Simulation of an Inhomogeneous Atmospheric Boundary Layer under Neutral Conditions 2479 Large Eddy Simulation of an Inhomogeneous Atmospheric Boundary Layer under Neutral Conditions CHING-LONG LIN Department of Mechanical and Industrial Engineering and IIHR Hydroscience and Engineering,

More information

Chapter 1. Introduction

Chapter 1. Introduction Chapter 1. Introduction In this class, we will examine atmospheric phenomena that occurs at the mesoscale, including some boundary layer processes, convective storms, and hurricanes. We will emphasize

More information

Large-Eddy Simulations of Tropical Convective Systems, the Boundary Layer, and Upper Ocean Coupling

Large-Eddy Simulations of Tropical Convective Systems, the Boundary Layer, and Upper Ocean Coupling DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Large-Eddy Simulations of Tropical Convective Systems, the Boundary Layer, and Upper Ocean Coupling Eric D. Skyllingstad

More information

θ α W Description of aero.m

θ α W Description of aero.m Description of aero.m Determination of the aerodynamic forces, moments and power by means of the blade element method; for known mean wind speed, induction factor etc. Simplifications: uniform flow (i.e.

More information

Atm S 547 Boundary Layer Meteorology

Atm S 547 Boundary Layer Meteorology Lecture 8. Parameterization of BL Turbulence I In this lecture Fundamental challenges and grid resolution constraints for BL parameterization Turbulence closure (e. g. first-order closure and TKE) parameterizations

More information