EWEC2007 Milano, 8 May 2007 Extrapolation of extreme loads acc. to IEC 61400-1 Ed.3 in comparison with the physics of real turbine response Dirk Steudel,

Slides:



Advertisements
Similar presentations
Nonlinear Optical Microscopy. X Y Non-linear? Actual response can be written as y = c 1 x+ c 3 x 3 (this is called a cubic distortion) Assuming the input.
Advertisements

11 June 2009 American Control ConferenceSt. Louis, MO Control of Wind Turbines: Past, Present and Future.
1 © 2011 The MathWorks, Inc. Designing Control Systems for Wind Turbines Steve Miller Technical Marketing, Physical Modeling MathWorks Root LocusBode Plot.
DESIGN OF AIRFOILS FOR WIND TURBINE BLADES Presented by Parezanovic Vladimir Faculty of Mechanical Engineering Belgrade University.
ALBERTA WIND POWER VARIABILITY STUDY Represented by Tommi Pensas.
European Wind Energy Conference and Exhibition 2010 Warsaw, Poland EWEC 2010 Warsaw April 2010 Aeroelastic Analysis of Pre-Curved Rotor Blades V.A.Riziotis,S.G.Voutsinas.
Wake model benchmarking using LiDAR wake measurements of multi MW turbines Stefan Kern, Clarissa Belloni, Christian Aalburg GE Global Research, Munich.
Information processing for model building of an electric power system, based on experimental data Kozmin Stanislav. State National Research Polytechnic.
AeroAcoustics & Noise Control Laboratory, Seoul National University
A Comparison of Multi-Blade Coordinate Transformation and Direct Periodic Techniques for Wind Turbine Control Design Karl Stol Wind Energy Symposium AIAA.
Disturbance Accommodating Control of Floating Wind Turbines
Challenge the future Delft University of Technology Blade Load Estimations by a Load Database for an Implementation in SCADA Systems Master Thesis.
Wind Farm Noise Impact Assessment
Chapter 4 Synchronous Generators
EWEC 2009 Marseille, France Design of Wind Turbine Passive Smart Blades ©University of Bristol Department of Aerospace Engineering Slide 1 Design of Wind.
Parameterised turbine performance Power Curve Working Group – Glasgow, 16 December 2014 Stuart Baylis, Matthew Colls, Przemek Marek, Alex Head.
1 Adviser : Dr. Yuan-Kang Wu Student : Ti-Chun Yeh Date : A review of wind energy technologies.
Active Control Systems for Wind Turbines
Importance of advanced simulations of electrical system in wind turbines April 2010.
1 Short Summary of the Mechanics of Wind Turbine Korn Saran-Yasoontorn Department of Civil Engineering University of Texas at Austin 8/7/02.
March 2006 Development and Test of a 5 kW Wind Turbine for Modular Autonomous Supply Systems Berthold Hahn Paul Kühn Institut für Solare Energieversorgungstechnik.
Computational Modelling of Unsteady Rotor Effects Duncan McNae – PhD candidate Professor J Michael R Graham.
Design Process Supporting LWST 1.Deeper understanding of technical terms and issues 2.Linkage to enabling research projects and 3.Impact on design optimization.
Where: I T = moment of inertia of turbine rotor.  T = angular shaft speed. T E = mechanical torque necessary to turn the generator. T A = aerodynamic.
Power Generation from Renewable Energy Sources
Advisor Martin Wosnik Graduate Co-Advisor Kyle Charmanski Characterize blade design/turbine performance in free stream in student wind tunnel (and validate.
Erin Bachynski, PhD candidate at CeSOS May 15, 2013
Aerodynamics and Aeroelastics, WP 2
Nikolaos Stefanatos Laboratory for WT Testing (LWTT) EWEC Athens VERIFICATION OF POWER PERFORMANCE OF ACTIVE POWER CONTROL WIND TURBINES IN COMPLEX.
EWEC 2007 Centre for Renewable Energy Sources Wind Turbine Testing Laboratory WT Load Measurements: A Comparison between Load- Based and Analytical Calibration.
Smart Rotor Control of Wind Turbines Using Trailing Edge Flaps Matthew A. Lackner and Gijs van Kuik January 6, 2009 Technical University of Delft University.
3D Power Deviation Matrix PCWG Meeting – New Orleans, LA. September 14, 2015 Alex Head.
Dave Corbus, Craig Hansen Presentation at Windpower 2005 Denver, CO May 15-18, 2005 Test Results from the Small Wind Research Turbine (SWRT) Test Project.
Non-Linear Regression. The data frame trees is made available in R with >data(trees) These record the girth in inches, height in feet and volume of timber.
Introduction people business vision and goals Product design aims features and benefits competitive comparison current status What we are looking for manufacturing.
Going to Extremes: A parametric study on Peak-Over-Threshold and other methods Wiebke Langreder Jørgen Højstrup Suzlon Energy A/S.
Effects of Scale on Model Offshore Wind Turbines An Examination of How Well Scaled Model Wind Turbines Can Represent Full Sized Counterparts Group Members:
Extrapolation of Extreme Response for Wind Turbines based on Field Measurements Authors: Henrik Stensgaard Toft, Aalborg University, Denmark John Dalsgaard.
Wind Turbine Aerodynamics Section 2 – Power Control E-Learning UNESCO ENEA Casaccia - February Fabrizio Sardella.
ECE 7800: Renewable Energy Systems
Integrated Dynamic Analysis of Floating Offshore Wind Turbines EWEC2007 Milan, Italy 7-10 May 2007 B. Skaare 1, T. D. Hanson 1, F.G. Nielsen 1, R. Yttervik.
REDUCTION OF TEETER ANGLE EXCURSIONS FOR A TWO-BLADED DOWNWIND ROTOR USING CYCLIC PITCH CONTROL Torben Juul Larsen, Helge Aagaard Madsen, Kenneth Thomsen,
Technische Universität München Wind Energy Institute Technische Universität München Wind Energy Institute Detection of Wake Impingement in Support of Wind.
EWEC 2006, AthensMartin Geyler 1 Hardware-in-the-Loop Development and Testing of New Pitch Control Algorithms EWEC 2006 Athens Martin Geyler, Jochen Giebhardt,
1. 2 Contents Aim: why this work? Probabilistic design Some results Conclusions.
EWEC 2007, MilanoMartin Geyler 1 Individual Blade Pitch Control Design for Load Reduction on Large Wind Turbines EWEC 2007 Milano, 7-10 May 2007 Martin.
Reliability Analysis of Wind Turbines
Power Generation from Renewable Energy Sources Fall 2012 Instructor: Xiaodong Chu : Office Tel.:
Horizontal Axis Wind Turbine Systems: Optimization Using Genetic Algorithms J. Y. Grandidier, Valorem, 180 Rue du Marechal Leclerc, F B ´ Begles,
Supervisor: Dr David Wood Co-Supervisor: Dr Curran Crawford
Aerodynamic forces on the blade, COP, Optimum blade profiles
Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Numerical Simulation of the Aerodynamics of Horizontal Axis Wind Turbines under.
Alternative Turbulence Correction Methods
Structural Reliability Aspects in Design of Wind Turbines
Date of download: 10/16/2017 Copyright © ASME. All rights reserved.
Wind Turbine Control System
Power curve loss adjustments at AWS Truepower: a 2016 update
INVESTIGATION OF IDLING INSTABILITIES IN WIND TURBINE SIMULATIONS
With Andrew Magstadt and Dr. David Thayer
DYNAMIC STALL OCCURRENCE ON A HORIZONTAL AXIS WIND TURBINE BLADE
From: Flight Dynamics and Simulation of Laser Propelled Lightcraft
Betz Theory for A Blade Element
Jordi Mazón1, Jose I. Rojas2 & David Olmeda2
Rotors in Complex Inflow, AVATAR, WP2
Dynamic Controllers for Wind Turbines
Identification of Fundamental Design Parameter for A Wind Turbine
The application of an atmospheric boundary layer to evaluate truck aerodynamics in CFD “A solution for a real-world engineering problem” Ir. Niek van.
Exploring the limits in Individual Pitch Control S. Kanev and T
VALIDATION OF A HELICOIDAL VORTEX MODEL WITH THE NREL UNSTEADY AERODYNAMIC EXPERIMENT James M. Hallissy and Jean-Jacques Chattot University of California.
Wind Turbine Broadband + Deterministic Fatigue
Presentation transcript:

EWEC2007 Milano, 8 May 2007 Extrapolation of extreme loads acc. to IEC Ed.3 in comparison with the physics of real turbine response Dirk Steudel, Martin von Mutius REpower Systems

Introduction 1.Identification of real turbine response and nonlinear effects 2.Nonlinear effects and load extrapolation acc. to IEC ed.3 3.Proposal regarding the combination of extrapolation and real turbine behaviour

Example  Pitch regulated  Variable speed  13m/s rated wind speed  25m/s cut out wind speed  Over speed trigger directly above highest rotor speed in NTM-regime* 14m/s mean wind speed TI=16.1% Normalized generator speed Over speed trigger 22m/s mean wind speed TI=14.1% Rated generator speed Artificial onshore turbine: Simplified control system: *NTM-Regime = Normal Turbulence Model acc. to IEC

Turbine response in time domain Out of Plane Blade Bending Moment Turbine response is linear in turbulence intensity around NTM-Regime NTM Normalized Load 14m/s mean wind speed 22m/s mean wind speed Normalized Load NTM Turbulence Intensity

Nonlinearity of the control system 22m/s mean wind speed Turbulence Intensity Generator Speed NTM Out Of Plane Bending Moment The control system may cause significant nonlinearities in higher TI-Regime Turbulence Intensity NTM Over speed trigger

Nonlinearity of aerodynamics The aerodynamics may cause significant nonlinearities in higher TI-Regime ETM Angle of attack Normalized lift coefficient curve NTM Static polar

Load Extrapolation What is load extrapolation acc. to ed.3? How does it work? Input : Extreme values in normal operation (NTM) Output: Long period extreme values corresponding to extreme turbulent events Load extrapolation concludes from NTM-regime to extreme events assuming constant system properties

Plausibility check of extrapolation results  Time domain simulation with appropriate turbulence intensity  Compare simulated load with extrapolated load Extrapolated load should correspond to turbine response in time domain => But how to determine the appropriate turbulence intensity?

Extrapolation of turbulence intensity Mean wind speedTI NTM TI ETM TI XTM 14m/s16.29%23.50%23.54% 22m/s14.73%17.90%18.71% Extreme value extrapolation for wind speed at hub height Scaling of turbulence intensity: Result: Extrapolated TI XTM is slightly above TI ETM in these bins Procedure:

Turbulence Intensity NTM XTM Linear increase of turbine response Extrapolation of turbulence intensity Extrapolated Load Time domain simulation Load Extra- polation Plausibility check of extrapolation results Time domain simulation and load extrapolation should be comparable

More or less acceptable differences 14m/s mean wind speed Differences between load extrapolation and time domain up to ~10%

Unacceptable differences 22m/s mean wind speed Differences between load extrapolation and time domain up to ~30%!

NTM XTM Explanation for big deviations Out of Plane Blade Bending Moment Bad correspondence between extrapolation and real physical state at 22m/s 22m/s mean wind speed 14m/s mean wind speed Extrapolated Load NTM XTM Extrapolated Load Time Domain Load(XTM)

Summary Load extrapolation acc. to IEC can lead to overly conservative loads which differ significantly from real turbine response Load extrapolation is not valid if the system properties change between normal and extreme ambient conditions Time domain simulations are able to follow all kinds of changes of system properties The proposed approach considers the real turbine physics and leads to realistic loads in extreme ambient conditions

The famous last sentence The completion of load extrapolation by additional extrapolation of turbulence intensity has recently been introduced by REpower into the actual amendment discussions of MT01