Health monitoring of renewable energy systems

• Published in: 2018 2nd International Conference on Green Energy and Applications (ICGEA)
• Main Author: Sepulveda Gutierrez, Marco Antonio
• Other Authors: Shek, Jonathan, Oterkus, Erkan, Thies, Philipp
• Format: Doctoral or Postdoctoral Thesis
• Language: English
• Published: The University of Edinburgh 2019
• Subjects: reliability; offshore wind turbines; data mining; physics based models; failure diagnosis; failure prognosis; risk assessment; FMEA; wind turbine maintenance; wind turbine CBM; Arctic
• Online Access: http://hdl.handle.net/1842/36085

The offshore wind energy industry has grown exponentially; globally, there is 12GW of installed capacity of offshore wind, of which over 95% has been installed in the past ten years. Access and maintenance in offshore wind farms can be difficult and considerably more expensive than onshore wind farms. Additionally, with low availability levels and greater downtime due to failures, there is a growing interest in the optimisation of operation and maintenance (O&M) activities to maximise profitability. Traditionally, maintenance activities on critical components and subsystems have deployed two maintenance approaches; time-based preventative or corrective. Time-based preventative or scheduled maintenance approaches are based on intervening at fixed intervals, determined in advance for each component. Scheduling is based on failure statistics such as mean time between failures (MTBF), mean time to repair (MTTR) or mean time to failure (MTTF). These come either from publicly available databases or operational measurements. As part of preventive maintenance activities, there are annual services of the turbine to replace and maintain any component or assembly based on manufacturers’ indications. On the other hand, the corrective maintenance approach involves operating equipment until it fails and then restoring it, repairing it, or replacing it. Due to conservative estimates regarding the probability of failure, preventive and corrective maintenance approaches have financial implications associated with them. In the preventive approach, components are frequently replaced before they reach the end of their working life. In contrast, corrective maintenance guarantees that the serviceable life of a component is maximised, but it is subjected to long downtime, which is expensive regarding energy generation loss. Additionally, failure of the component may cause consequential damage to other parts of the wind turbine system, resulting in even greater repair costs, downtime and loss of revenue. A comprehensive literature ...