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Sheng, S.

Publications and source records attributed to Sheng, S..

A use-case-driven approach for demonstrating the added value of digitalisation in wind energy

Digitalisation is one of the key drivers for reducing the costs and risks of wind energy. When considering whether to embark on a digitalisation initiative, two key questions arise. The first is what business or operational opportunities might feasibly be addressed and the second is which of the many potential aspects of digitalisation are relevant to those opportunities. In this work, we show how these questions can be answered with a use-case-driven approach, based around a survey aiming to collect and collate the main "pain points" (or everyday challenges) of people in the wind energy sector. Although the relatively low number of participants of the survey (46) means that the results should only be used indicatively, it is still possible to make some general recommendations for priorities for digitalisation efforts in the wind energy sector. Firstly, digitalisation efforts should focus both on supporting people carrying out cross-lifecycle tasks, in particular sharing data, managing data, undertaking general data analyses and accessing data. Tools to do this should deal with varying data formats and naming conventions, make metadata more accessible, define data and metadata standards, make more data publicly available and improve the quality of data. Secondly, efforts should also focus on supporting people in the wind farm operational phase, in particular with failure detection, fault diagnosis, failure rate modelling and predictive maintenance. Solutions to do this should focus on accessible and validated tools for fault detection, cloud or other data pipeline solutions for SCADA data and tools for exhaustive data documentation. Finally, digitalisation efforts should focus on better communicating and helping people become aware of existing solutions and tools, as well as on helping people to exert a stronger influence on possible solutions.

17 WIND ENERGY↗

Gearbox Reliability Collaborative Update (Presentation)

This presentation was given at the Sandia Reliability Workshop in August 2013 and provides information on current statistics, a status update, next steps, and other reliability research and development activities related to the Gearbox Reliability Collaborative.

17 WIND ENERGY↗

Wind Turbine Drivetrain Condition Monitoring - An Overview (Presentation)

High operation and maintenance costs still hamper the development of the wind industry despite its quick growth worldwide. To reduce unscheduled downtime and avoid catastrophic failures of wind turbines and their components have been and will be crucial to further raise the competitiveness of wind power. Condition monitoring is one of the key tools for achieving such a goal. To enhance the research and development of advanced condition monitoring techniques dedicated to wind turbines, we present an overview of wind turbine condition monitoring, discuss current practices, point out existing challenges, and suggest possible solutions.

17 WIND ENERGY↗

Report on Wind Turbine Subsystem Reliability - A Survey of Various Databases (Presentation)

Wind industry has been challenged by premature subsystem/component failures. Various reliability data collection efforts have demonstrated their values in supporting wind turbine reliability and availability research & development and industrial activities. However, most information on these data collection efforts are scattered and not in a centralized place. With the objective of getting updated reliability statistics of wind turbines and/or subsystems so as to benefit future wind reliability and availability activities, this report is put together based on a survey of various reliability databases that are accessible directly or indirectly by NREL. For each database, whenever feasible, a brief description summarizing database population, life span, and data collected is given along with its features & status. Then selective results deemed beneficial to the industry and generated based on the database are highlighted. This report concludes with several observations obtained throughout the survey and several reliability data collection opportunities in the future.

17 WIND ENERGY↗