Dr Zi Lin

Research Associate

Naval Architecture, Ocean and Marine Engineering

Publications

Progress on the development of a holistic coupled model of dynamics for offshore wind farms, phase I : aero-hydro-servoelastic model, with drive train model, for a single wind turbine
Lin Z, Cevasco D, Collu M
ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018 (2018)
https://doi.org/10.1115/OMAE2018-77886
O&M cost-based FMECA : identification and ranking of the most critical components for 2-4 MW geared offshore wind turbines
Cevasco D, Collu M, Lin Z
Journal of Physics: Conference Series Vol 1102 (2018)
https://doi.org/10.1088/1742-6596/1102/1/012039
A hydrodynamic study of deep-water mooring characteristics
Sayer Philip, Lin Zi
The 24th International Ocean and Polar Engineering Conference (ISOPE 2014) (2014)

more publications

Projects

Holistic Operation and Maintenance for Energy from Offshore Wind Farms
Barnes, Mike (Principal Investigator) Collu, Maurizio (Co-investigator) Lin, Zi (Researcher) Cevasco, Debora (Post Grad Student)
HOME Offshore is a research project funded by the UK Engineering and Physical Sciences Research Council (EPSRC) which partners 5 leading UK universities. The project will investigate the use of advanced sensing, robotics, virtual reality models and artificial intelligence to reduce maintenance cost and effort for offshore windfarms. Predictive and diagnostic techniques will allow problems to be picked up early, when easy and inexpensive maintenance will allow problems to be readily fixed. Robots and advanced sensors will be used to minimise the need for human intervention in the hazardous offshore environment.

The remote inspection and asset management of offshore wind farms and their connection to shore, is an industry which will be worth up to £2 billion annually by 2025 in the UK alone. 80% to 90% of the cost of offshore Operation and Maintenance according to the Crown Estate is generated by access requirements: such as the need to get engineers and technicians to remote sites to evaluate a problem and decide what action to undertake. Such inspection takes place in a remote and hazardous environment and requires highly trained personnel, of which there is likely to be a shortage in coming years. Additionally much condition monitoring data which is presently generated is not useful or not used effectively.

The project therefore aims to make generate more ‘actionable data’ – useful information that can reduce operation and maintenance costs and improve safety.
02-Jan-2017 - 31-Jan-2020

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Address

Naval Architecture, Ocean and Marine Engineering
Henry Dyer Building

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