| Citation |
Koltsidopoulos Papatzimos, A., Dawood, T. and Thies, P.R. An Integrated Data Management Approach for Offshore Wind Turbine Failure Root Cause Analysis, ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering Volume 3B: Structures, Safety and Reliability Trondheim, Norway, June 25?30, 2017, 2017. https://doi.org/10.1115/OMAE2017-62279. Cite this using DataCite |
| Author(s) |
Koltsidopoulos Papatzimos, A., Dawood, T. and Thies, P.R. |
| Project partner(s) |
University of Edinburgh, Electricité de France, University of Exeter |
| Publisher |
ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering Volume 3B: Structures, Safety and Reliability Trondheim, Norway, June 25?30, 2017 |
| DOI |
https://doi.org/10.1115/OMAE2017-62279 |
| Download |
27279 |
| Abstract |
A significant amount of operation and maintenance (O&M) data are being generated daily from offshore wind farms, including a variety of monitoring systems, maintenance reports and environmental sources. The challenge with having a wide variety of data sources with different temporal and format characteristics is that a significant effort is required to identify evidence that supports a root cause analysis (RCA) of a turbine fault. In addition, the organization of the O&M data flow does not lend itself to support easy reporting of the O&M key performance indicators. Since the offshore wind industry is growing rapidly, there is a need to better understand and manage the O&M data generated. This paper demonstrates a novel integrated data management system that combines all the O&M data from an offshore wind farm and proves that the proposed RCA framework, based on thisintegrated platform, can lower O&M costs, by reducing the number of visits to the turbines. It also provides failure rates for subassemblies and looks at the failure distribution within the wind farm. The results of the paper will be of interest to offshore wind farm developers and operators to streamline and optimize O&M planning and activities for their assets.
This work was partly funded via IDCORE, the Industrial Doctorate Centre for Offshore Renewable Energy, which trains research engineers whose work in conjunction with sponsoring companies aims to accelerate the deployment of offshore wind, wave and tidal-current technologies |
| Associated Project(s) |
ETI-MA2003: Industrial Doctorate Centre for Offshore Renewable Energy (IDCORE) |
| Associated Dataset(s) |
No associated datasets |
| Associated Publication(s) |
A model to map levelised cost of energy for wave energy projects An investigation of the effects of wind-induced inclination on floating wind turbine dynamics: heave plate excursion Application of an offshore wind farm layout optimization methodology at Middelgrunden wind farm Characterisation of current and turbulence in the FloWave Ocean Energy Research Facility Characterization of the tidal resource in Rathlin Sound Comparison of Offshore Wind Farm Layout Optimization Using a Genetic Algorithm and a Particle Swarm Optimizer Component reliability test approaches for marine renewable energy Constraints Implementation in the Application of Reinforcement Learning to the Reactive Control of a Point Absorber Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration Cost Reduction to Encourage Commercialisation of Marine in the UK Cumulative impact assessment of tidal stream energy extraction in the Irish Sea Design diagrams for wavelength discrepancy in tank testing with inconsistently scaled intermediate water depth Development of a Condition Monitoring System for an Articulated Wave Energy Converter Dynamic mooring simulation with Code(-)Aster with application to a floating wind turbine ETI Insights Report - Wave Energy Environmental interactions of tidal lagoons: A comparison of industry perspectives Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach Hybrid, Multi-Megawatt HVDC Transformer Topology Comparison for Future Offshore Wind Farms Hydrodynamic analysis of a ducted, open centre tidal stream turbine using blade element momentum theory Offshore wind farm electrical cable layout optimization Offshore wind installation vessels - A comparative assessment for UK offshore rounds 1 and 2 Optimisation of Offshore Wind Farms Using a Genetic Algorithm Quantifying uncertainty in acoustic measurements of tidal flows using a “Virtual” Doppler Current Profiler Re-creation of site-specific multi-directional waves with non-collinear current Reactive control of a two-body point absorber using reinforcement learning Reactive control of a wave energy converter using artificial neural networks Reliability and O & M sensitivity analysis as a consequence of site specific characteristics for wave energy converters Reliability prediction for offshore renewable energy: Data driven insights Resource characterization of sites in the vicinity of an island near a landmass Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation Sensitivity analysis of offshore wind farm operation and maintenance cost and availability Simulating Extreme Directional Wave Conditions Testing Marine Renewable Energy Devices in an Advanced Multi-Directional Combined Wave-Current Environment Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms The Industrial Doctorate Centre for Offshore Renewable Energy(IDCORE) - Case Studies The SPAIR method: Isolating incident and reflected directional wave spectra in multidirectional wave basins The effects of wind-induced inclination on the dynamics ofsemi-submersible floating wind turbines in the time domain The power-capture of a nearshore, modular, flap-type wave energy converter in regular waves UK offshore wind cost optimisation: top head mass (Presentation to All Energy, 10th May 2017) |
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