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Chairs:
Evangelos Politis, Centre for Renewable Energy Sources (CRES), Greece
Peter Eecen, Energy Research Centre of the Netherlands (ECN), The Netherlands
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Session description Wind turbines are usually clustered in wind farms in order to make efficient use of the limited space and reduce installation costs. Consequently, they often operate in the wake of other turbines. Under such conditions, the wind field is significantly different from the free stream. Inside the wake the wind speed is lower, leading to decreased power output in the order of 10% to 20% for large wind farms, and at the same time the turbulence levels are higher, leading to increased loads. Accurately quantifying power losses due to wakes is, therefore, an important part of overall wind farm economics. This session will discuss results from theoretical CFD tools analysing the wake effects of a wind turbine and large onshore wind farms. |
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DEVELOPMENT OF A TOOL FOR THE STUDY OF FLOW CONDITIONS AND TURBULENT LOADS IN OFFSHORE WIND FARMS Gerald Steinfeld, ForWind Carl-von-Ossietzky-University of Oldenburg, Germany |
S1.2 |
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ANALYSIS AND VALIDATION OF CFD WIND FARM MODELS IN COMPLEX TERRAIN. EFFECTS INDUCED BY TOPOGRAPHY AND WIND TURBINES Daniel Cabezon, CENER - Centro Nacional de Energias Renovables, Spain |
S1.3 |
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CFD MODELLING OF WIND FARMS IN COMPLEX TERRAIN Evangelos Politis, Centre for Renewable Energy Sources (CRES), Greece |
S1.4 |
Chairs:
Nicolas Fichaux, European Wind Energy Association (EWEA)
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Session description This session will feature three complementary presentations on major aerodynamic experiments for wind turbine blade sections and full rotors that have been conducted in Europe in recent years. Unsteady profile polars are accurately measured in a wind tunnel experiment, parametrised over ambient turbulence and carefully processed for their post-stall regime in the first presentation. The second presentation will consider new processed data derived from the MEXICO experiment as part of the work done within IEA Wind Task 29 MEXNET(T), focusing on bound and tip-vortex understanding and near rotor plane flow field description. Thirdly, combined wind tunnel and field aerodynamic data will be presented from the DANAERO MW research project comparing, among others, airfoil characteristics measured under 2D steady conditions in a wind tunnel against unsteady 3D flow conditions on a MW scale rotor. Finally, earlier data from the MEXICO experimental will be used to validate the so-called actuator surface method, a hybrid model comprising singularity with pure CFD techniques. |
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FIRST RESULTS FROM MEXNEXT: ANALYSIS OF AERODYNAMIC MEASUREMENTS ON A 4.5 M DIAMETER ROTOR PLACED IN THE LARGE GERMAN DUTCH WIND TUNNEL DNW Gerard Schepers, Energy Research Centre of the Netherlands (ECN), The Netherlands |
S3.1 |
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LIFT MEASUREMENTS IN UNSTEADY FLOW CONDITIONS Jörge Schneemann, ForWind Carl-von-Ossietzky-University of Oldenburg, Germany |
S3.2 |
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DAN-AERO MW: DETAILED AERODYNAMIC MEASUREMENTS ON A FULL SCALE MW WIND TURBINE Christian Bak, Risø DTU, Denmark |
S3.3 |
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EXPERIMENTAL STUDY OF TWO MODEL TURBINES IN TANDEM ARRANGEMENT Muyiwa S. Adaramola, Norwegian University of Science and Technology (NTNU), Norway |
S3.4 |
Chairs:
Jens Tambke, ForWind Carl-von-Ossietzky-University of Oldenburg, Germany
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Session description After the initial years of wind power forecasting, a more mature stage has now been reached. This session will showcase what can be called the ‘second generation’ prediction models, which go further than the deterministic forecast of power production over the coming days. Specific extreme events, such as ramps, are of vital importance for the management of electricity systems, and the uncertainty related to forecasting those events represents valuable information. Conditional parametric models dealing with the temporal and spatial evolution of forecast errors are able to reduce those errors by using information regarding the geographical distribution of wind farms. Concerning meteorology, an extensive validation of ensemble forecasts in Europe will be demonstrated, showing the potential of this source of probabilistic predictions and the expected accuracy. Finally, the validation of WRF model in Denmark area will be presented, as well as the optimisation of the model configuration focused on wind energy. |
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HOW WELL WE CAN FORECAST WINDS AT DIFFERENT HEIGHTS?
AN ASSESSMENT OF ECMWF IFS & EPS SKILL OF FORECASTING WIND FIELDS AT DIFFERENT MODEL LEVELS Thomas Petroliagis, ForWind Carl-von-Ossietzky-University of Oldenburg, Germany |
S4.1 |
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VALIDATION OF BOUNDARY LAYER WINDS FROM WRF MESOSCALE FORECASTS OVER DENMARK Alfredo Peña, Risø DTU, Denmark |
S4.2 |
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MULTIVARIATE CONDITIONAL PARAMETRIC MODELS FOR A SPATIO-TEMPORAL ANALYSIS OF SHORT-TERM WIND POWER FORECAST ERRORS Henrik Madsen, Technical University of Denmark (DTU), Denmark |
S4.3 |
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FORECASTING UNCERTAINTY RELATED TO RAMPS Arthur Bossavy, MINES-ParisTech, France |
S4.4 |
Chairs:
Detlev Heinemann, ForWind Carl-von-Ossietzky-University of Oldenburg, Germany
Hans Jørgensen, Risø DTU, Denmark
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Session description Doppler lidars (laser based instruments to determine the wind speed remotely) have celebrated tremendous progress in their application for wind energy, especially for the precise determination of mean wind speeds and wind profiles over flat terrain. In complex terrain, however, the lidars can mis-estimate the horizontal wind speed by up to 10%. Two presentations will suggest using CFD (Computational Fluid Dynamics) to reduce this error for both a pulsed and a continuous wave lidar. Apart from mean wind calculations, extreme winds and turbulence are also significant to wind turbines. A presentation will investigate the procedure for the extraction of the 50-year wind from a limited length wind speed series obtained from a net of observation stations in Texas. Traditionally, turbulence for load calculations on wind turbines is described in term of so-called second-order statistics, meaning variances, spectra and coherences. The final presentation will provide the first steps in the direction of using higher order statistics (e.g. skewness and kurtosis) for the description of the flow approaching wind turbines. This may have consequences for both extreme and fatigue loading. |
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CORRECTION OF REMOTE SENSING BIAS IN COMPLEX TERRAIN USING CFD Oisin Brady, Natural Power Consultants, France |
S5.1 |
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ADVANCED CHARACTERIZATION OF WIND TURBULENCE BY HIGHER ORDER STATISTICS Allan Morales, ForWind Carl-von-Ossietzky-University of Oldenburg, Germany |
S5.2 |
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THEORETICAL AND CFD ANALYSIS OF PULSED DOPPLER LIDAR WIND
PROFILE MEASUREMENT PROCESS IN COMPLEX TERRAIN Matthieu Boquet, Leosphere, France |
S5.3 |
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NUMERICAL AND EXPERIMENTAL METHODS FOR WIND SHEAR INVESTIGATIONS AND POWER CURVE SITE-SPECIFIC ADJUSTMENT Francesco Castellani, University of Perugia, Italy |
S5.4 |
Chairs:
Lars Landberg, Garrad Hassan & Partners, Denmark
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Session description The session will focus on technologies for improving measurements and modelling for predicting and controlling wind power and loads. Applications of lidar technology will be presented, ranging from the use of lidar in the nacelle to improvements in power curve measurements. These offer the opportunity to significantly reduce error in predicting power output and to combine short term measurements with different control strategies to reduce turbine loading. These topics are vital to the continued reduction of uncertainty in predicted power output and to minimising loads through combined measurement and modelling strategies. |
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LIDAR WIND SPEED MEASUREMENTS FROM A ROTATING SPINNER Torben Mikkelsen, Risø DTU, Denmark |
S6.1 |
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IMPROVEMENT OF POWER CURVE MEASUREMENT WITH LIDAR WIND SPEED PROFILES
Julia Gottschall, Risø DTU, Denmark |
S6.2 |
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L1-OPTIMAL MULTIVARIABLE PITCH CONTROL FOR LOAD REDUCTION ON LARGE WIND TURBINES Simone Schuler, University of Stuttgart, Germany |
S6.3 |
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MODEL PREDICTIVE CONTROL FOR WIND TURBINES Arne Koerber, GE Energy, Germany |
S6.4 |
Chairs:
Tim Westphal, WMC, The Netherlands
Peter Tavner, Durham University, United Kingdom
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Session description This session will address wind turbine reliability from various angles; obtaining reliable material characteristics, describing material characteristics for design and quantification of component reliability and its effect on the availability of a wind turbine. Developments in design methods which allow the use of more detailed fatigue models will be presented. The session will also examine new test methods for bonding paste, specific for the application in wind turbine blades. Furthermore, presentations will focus on projects which aim to improve the reliability and availability by quantifying the risk of component malfunction in the field. Individual components and their effect on turbine availability will be highlighted. |
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IMPROVED FATIGUE DESIGN METHODS FOR OFFSHORE WIND TURBINE ROTOR BLADES CONSIDERING NON-LINEAR GOODMAN ANALYSIS COMBINED WITH FINITE ELEMENT ANALYSIS Stefan Wessels, Fraunhofer Institute for Wind Energy and Energy System Technology (IWES), Germany |
S7.1 |
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METHODOLOGY AND RESULTS OF THE RELIAWIND RELIABILITY FIELD STUDY Michael Wilkinson, Garrad Hassan & Partners, United Kingdom |
S7.2 |
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DEVELOPMENTS FOR A NEW TEST METHODOLOGY FOR ADHESIVE JOINTS IN THE WIND INDUSTRY Arno Van Wingerde, Fraunhofer Institute for Wind Energy and Energy System Technology (IWES), Germany |
S7.3 |
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ELECTRICAL SUBASSEMBLIES OF WIND TURBINES –
A SUBSTANTIAL RISK FOR THE AVAILABILITY
Stefan Faulstich, Fraunhofer Institute for Wind Energy and Energy System Technology (IWES), Germany |
S7.4 |
Chairs:
Kurt Rohrig, Fraunhofer IWES (ISET), Germany
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Session description The envisaged large-scale integration of wind energy into the European power system creates new challenges for wind turbine designers, electricity industry, power suppliers and grid operators. This session will present and discuss some of these challenges, identifying possible technical problems and proposing appropriate solutions. The session will present the latest R&D results in the field of wind energy integration and will introduce wind generation modelling for transmission system adequacy, HVDC solutions for offshore wind farms, a fuel cell hybrid energy system for reducing wind power fluctuations and the potential of advanced short-tem forecasts with dynamic prediction intervals for reducing reserve requirements. |
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WIND GENERATION MODELLING FOR TRANSMISSION SYSTEM ADEQUACY STUDIES WITH ECONOMIC DISPATCH Francois Vallee, Faculté Polytechnique de Mons, Belgium |
S10.1 |
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HVDC SOLUTION FOR OFFSHORE WIND PARK COMPRISING TURBINES EQUIPPED WITH FULL-RANGE CONVERTERS Ranjan Sharma, Technical University of Denmark (DTU), Denmark |
S10.2 |
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WIND FARM – FUEL CELL HYBRID ENERGY SYSTEM FOR REDUCING POWER FLUCTUATIONS IN WIND FARMS
Jorge Emilio Villena Lapaz, Renewable Energy Research Institute, Spain |
S10.3 |
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THE POTENTIAL OF ADVANCED SHORTEST-TERM
FORECASTS AND DYNAMIC PREDICTION INTERVALS FOR
REDUCING THE WIND POWER INDUCED RESERVE
REQUIREMENTS Jan Dobschinski, Fraunhofer Institute for Wind Energy and Energy System Technology (IWES), Germany |
S10.4 |
Chairs:
Patric Kleineidam, Lahmeyer International, Germany
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Session description This session will focus on the design of support structures for offshore wind turbines. The latest developments of floating structures with taught-line-buoy concepts, the influence of hydrodynamic damping in the design of floating structures and results of the OC3 IEA Wind Task 23 will be introduced. Furthermore, investigations into the fatigue design and risk management in non-fail safe axially loaded grouted connections for support structures of offshore wind turbines will also be presented. |
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FLOATING WIND TURBINES: DEVELOPMENT OF A TAUGHT-LINE-BUOY (TLB) CONCEPT Paul Sclavounos, Massachusetts Institute of Technology, United States of America |
S8.1 |
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OFFSHORE CODE COMPARISON COLLABORATION WITHIN IEA WIND TASK 23: PHASE IV RESULTS REGARDING FLOATING WIND TURBINE MODELLING Jason Jonkman, National Renewable Energy Laboratory, United States of America |
S8.2 |
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FATIGUE DESIGN FOR PREVAILING AXIALLY LOADED GROUTED CONNECTIONS OF OFFSHORE WIND TURBINE SUPPORT STRUCTURES IN DEEPER WATERS Stephan Lochte-Holtgreven, ForWind Leibniz University Hannover, Germany |
S8.3 |
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OPPORTUNITIES AND RISKS OF STEEL FIBRES IN GROUTED JOINTS Nick Lindschulte, ForWind Leibniz University Hannover, Germany |
S8.4 |
Chairs:
Nicolas Fichaux, European Wind Energy Association (EWEA)
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Session description This session will deal with various aspects of dimensioning and monitoring the drive train as one of the main parts of a wind turbine. The actual possibilities to determine reliable load assumptions for the drive train and its components by using the Multibody-System-Simulation with special respect to the gearbox internals, e.g. the tooth contact, will be described. Furthermore, the performance characteristics of permanent magnet wind power generators in directly driven wind turbines without a main gearbox are compared based on different rotor configurations. Finally, a new signal analysis method for online condition monitoring systems with a special focus on the detection of gearbox failures will be presented. |
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DETECTING INCIPIENT GEARBOX FAILURE IN WIND TURBINES: A NEW SIGNAL ANALYSIS METHOD FOR ON-LINE CONDITION MONITORING Yanhui Feng, Durham University, United Kingdom |
S9.1 |
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RELIABILITY ANALYSIS AND PREDICTION OF WIND TURBINE GEARBOX Hui Long, Durham University, United Kingdom |
S9.2 |