5. The Offshore Wind Infrastructure Project Lidar Fix/Floating Climate Chamber Monitoring Systems Acquiring Knowledge of component lifetime Acquiring Knowledge of wind climate in wind farm, wakes, performance Acquiring Knowledge on Structural Health and Performance Monitoring O&M
67. Dynamic Monitoring Challenges How can the dynamic behaviour of a wind turbine be analyzed during operating conditions Existing operational modal analysis techniques are strictly speaking not applicable due to harmonic content of the aerodynamic loads The dynamic behavior of wind turbines is characterized by high aerodynamic damping and nearby modes How to deal with wind turbulences when pitch excitation is used for dynamic testing of operating wind turbines Proposed solutions developed by the VUB/AVRG and to be validated on wind turbines Operational Modal analysis using transmissibility measurements. This is a recently developed OMA techniques that makes no assumption about the nature of the loads The Polyreference Least Squares Frequency domain OMA approach well known for its clear stabilsation diagrams also for highly damped structures and nearby modes OMAX approach combines experimental modal analysis with operational modal analysis by considering both the excitation signal and the turbulence excitation as valuable data Figure from Applicability Limits of Operational Modal Analysis to Operational WindTurbinesD. Tcherniak+, S. Chauhan+, M.H. Hansen Figure from Full-scal modal wind turbine tests: comparing shaker excitation with wind excitation; In Proceedings of IMAC 28
68. Corrosion Monitoring Challenges Can corrosion be predicted for a complex structure like offshore wind turbines located in a harsh environment ? How accurate are these predictions and can the accuracy be improved ? How can the corrosion performance in the splash zone be optimized ? What is the potential for continuously monitoring the state of the CP system / the state of the monopile ? What alternative factors may cause unexpected corrosion. Proposed solutions developed by VUB Lifetime prediction based on a Potential Model, including CP performance. Expanding the capabilities of the model by measuring relevant parameters at the turbine location (O2, salinity, T, pH) + lab-scale experiments using these parameters to generate model input. Screening of potential proven coating alternatives Implementing the SURF corrosion sensor on a test location Focus on biofilms / microbial effects, interior of the pile…
69. Performance Monitoring Challenges Can power curves* obtained from SCADA data be used for fault prediction and diagnosis in wind turbines What is the most adequate approach to estimate and model the power curves of wind turbines Can the detected outliers be correlated with a specific fault Proposed solutions to be investigated Non-parametric modeling based on e.g. data mining approaches Parametric modeling using e.g. Least Squares estimation techniques On-line monitoring by e.g. residual approach, control charts, trend analysis Labeling SCADA data with status/fault codes Figures from On-line monitoring of power curves; Andrew Kusiak*, HaiyangZheng, Zhe Song; Renewable Energy 34 (2009) 1487–1493 *Measurement Power Curve according IEC 61400-12
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71. How can the dynamic behavior foundation and support structure be monitored and its design be improved
72. How accurate is prediction about the dynamic behavior of the foundation, tower and blades
73. How can the dynamic behavior wind turbine, tower and blades be monitored during operation
74. Can structural health monitoring be achieved from the measured load data and the identified dynamic behavior
81. Trend analysis and data miningFinally how can performance monitoring, structural health monitoring and wind data be combined in one improved O&M tool