Welcome and Opening                                   

Dipl. Ing. Thomas Gellermann, Senior Executive Expert,
Allianz Center for Technology, Allianz Risk Consulting
GmbH, Munich

KEY NOTE

Artifical Intelligence, Machine Learning, Operational Research: What, Why, and When                                                        

• Artificial Intelligence
• Machine Learning
• Operational Research
• Potential and limits of different approaches
• Examples from engineering design

Prof. Dr. Joerg Fliege, Head of Operational Research,
University of Southampton, UK

Session 1

Mechanism of noise generation and its reduction

Influencing Parameters in the Simulation of Electromagnetic Excited Structure Borne Noise of Gearless Wind Turbines                      

• Introduction: What is electromagnetic excited noise and why is it important in the design of the plant?
• Generator air gap width as a major influencing parameter for electromagnetic noise excitation
• Comparison of air gap width influencing effects in gearless wind turbines
• Lessons learned for modeling electromagnetic excited noise in gearless wind turbines                              

M.Sc. Tobias Duda, Team Leader Component Test Drive Technology, Univ. Prof. Dr.-Ing. Georg Jacobs, Center for Wind Power Drives, RWTH Aachen University, Aachen

Active Vibration Control for Mitigation of Tonalities in Wind Turbines – Potentials and Simulation Framework                                                                                                       

• Potentials of an active vibration control (AVC) solution for tonalities and NVH issues
• Commissioning process of an AVC solution
• Simulation framework for optimized integration
• AVC in the field

Dr.-Ing. Manuel Eckstein, Engineering Director Vibration and Monitoring Technologies, Dr.-Ing. Philipp Zech, Wölfel Engineering GmbH + Co. KG, Höchberg

Optimization of Wind Turbine Tonalities with a Focus on the Transfer Path of the Drivetrain                                                                                                                                                               

• Prediction model for wind turbine tonalities
• Model discretization
• Transfer path optimization approaches
• Comparison of optimization results

Dipl.-Ing. (FH) Sebastian Schmidt, Team leader Noise & Vibration Technology, Emre Kanpolat, Simeon Braun, Bert Verdyck, ZF Wind Power Antwerpen NV, Lommel, Belgium

Session 2

Load monitoring & lifetime optimization

True Digital Twins for Offshore Wind Turbines                                              

• Digital twinning to support data driven decision making in asset- and structural integrity management
• State-of-the-art definition of true digital twins for offshore wind turbines 
• Load monitoring and lifetime extension

Dr.-Ing. Moritz Häckell, Chief Consultant Asset Management Offshore Wind, Carolin Sophie Wendelborn, Simon Scott Siedler, Ramboll Deutschland GmbH, Hamburg

Leveraging the Full Economic Yield Potential of Wind Turbines based on Online Tower Load Monitoring and Lifetime Assessment    

• Assessing the lifetime consumption online and based on measurement data
• Online logging of the loads for different tower sections
• Exploiting the gathered information for an informed decision for lifetime extension
• Supporting inspection reports with acceleration measurements

Dr.-Ing. Bastian Ritter, Product Manager Monitoring Systems Wind Energy, Dr.-Ing. Carles Colomer Segura, Wölfel Engineering GmbH + Co. KG, Höchberg

Synergies of Condition and Structural Health Monitoring – a way forward to reduce operational costs

• Cost saving in wind farm erection and O&M
• Concepts for optimal wind farm operation
• Condition Monitoring and Structural Health Monitoring

Dipl. Phys. Jens Krieger, Senior Manager Technical Solutions Structural Health Monitoring, Bachmann Monitoring GmbH, Rudolstadt, Andreas Schulze, EnBW Energie Baden-Württemberg AG,
Hamburg

Model Predictive Control of Fatigue

• Direct implementation of fatigue estimation in wind turbine control
• Consideration of past and future mechanical stress
• Simplified controller tuning
• Successful application to further domains like LiIon battery storage
                                                                                             

Evening Event
Round Table Exchange with Conference Board Members

• Table 1: Condition &Structural Health Monitoring
• Table 2: Structural Dynamics & Load Simulation
• Table 3: Drive Train & Machine Dynamics
• Table 4: Tribology & Rolling Bearing
• Table 5: Data Analytics
• Table 6: Noise Engineering & Reduction

Session 3

Electrical induced loads & vibrations                                                       

New requirements for drive train and structural components of wind turbines from grid-supporting control

• Power system inertia with wind turbines            
• Interaction between structural dynamics and electrical subsystems
• Methods for time domain simulations, linearization and modal analysis                                                                                           

Dr.-Ing. Boris Fischer, Research Engineer Control Engineering Fraunhofer IEE, Kassel, Dipl.-Ing. Alireza Rezaeian, Dr.-Ing. Mohamed Sayed, MesH Engineering GmbH, Stuttgart

Investigation of dynamic loads in wind turbine (WT) drive trains due to grid and power converter faults          

• grid faults lead to an increase and oscillations of the electromagnetic generator torque in WTs with a DFIG 
• a three phase short circuit converter fault leads to a rapid increase of the electromagnetic generator torque, which decreases highly dynamic
• as a result there are oscillations within the WT drive train, which may lead to component damages (e.g. smearing in the gearbox bearings)                                                                                                                                             

10:30 h 

Levelized cost of energy – Choosing the right strategy for each phase of an OWF’s lifecycle

• Common challenges influencing LCOE
• Variation of project success criteria over lifetime
• Key factors for LCOE optimization
• Impact of maintenance campaigns

M. Sc. Michel Greiner, Expert Systems Engineering, Omexom Renewable Energies Offshore GmbH, Oldenburg

 Session 4

Application of new guidelines

New guideline VDI 3834-2 for the vibration assessment of direct-drive wind turbines without gearbox

• Contents and objectives of the VDI 3834 Part 2
• Clarification of terms vibration assessment vs. condition assessment
• Defined measuring positions for gearless turbine units
• Evaluation zones for the vibration assessment

Dipl. Ing. Thomas Gellermann, Senior Executive Expert, Allianz Center for Technology, Allianz Risk Consulting GmbH, Munich

VDI 4551, a framework for monitoring and assessment of offshore wind assets

• Offshore Asset Management
• Monitoring and Assessment
• Objectives of Assessment
• Examples of Assessment

Business-Lunch-Buffet

Structural integrity assurance of wind turbines through Operational Modal Analysis

• Problem description
• System identification and concept description
• Project cases

M. Sc. Enrique Martínez, Turbine Testing Engineer, DNV GL Garrad Hassan Ibérica SL, Zaragoza, Spain

Detection of ruptures on structural components

• Examples for damages on components (e.g. hub, blade bearing)
• Focus on Monitoring of ruptures
• Measurement example and analysis
• Application in Monitoring of blade bearings

Dipl.-Ing.Wolfgang Losert, Managing Director, Dipl.-Ing. Mathias Pick, eolotec GmbH, Nürnberg

Wind speed and turbulence intensity detection using Critical Components Condition Monitoring, fault detection instant Alarm System

• Accelerometers installed inside the blades
• Supervised Machine Learning for wind speed and TI detection
• Unsupervised Machine Learning for wind speed detection
• Vibration Distribution for wind speed detection

M. Sc. Xavier Tolron, Head of Analysis and Drone R&D, Analysis, Drone & Image Processing, Ventus Engineering GmbH, Vienna