Dr Faryal Khalid
Lecturer
Engineering
Lecturer in Offshore Wind Technology with over 7 years of interdisciplinary experience in collaborative RD&I projects with industrial and academic stakeholders.
Completed projects:
- CableDyn: Subsea cable dynamics under complex ocean environment investigating dynamic loading, motion response, impact of vortex induced vibration and its suppression mechanism, and fatigue failure of subsea power cables subjected to combined 3-dimensional waves, currents, and turbulence.
- Wave Energy Demonstration at Utility Scale to Enable Arrays (WEDUSEA): Demonstration of a grid connected 1MW Ocean Energy floating wave energy converter at the European Marine Energy Test Site (EMEC) in Orkney, Scotland.
- Bilateral UK & US Offshore Wind R&D Programme: Technology demonstration of an active mooring component, IMS, as it progresses towards commercialisation. The IMS reduces peak mooring line loads for floating wind turbines.
- OffAqua: Assessing the impact of dynamic environmental conditions on structural risk for the development of offshore aquaculture in the UK.
- Floating Wind Joint Industrial Project: Demonstrate scaled IMS prototype to meet floating offshore wind requirements through collaboration with industry.
- Dynamic Load Reduction and Station Keeping Mooring System for Floating Offshore Wind: Combined physical and numerical testing to demonstrate the load reduction capabilities of the IMS.
- MaRINET2: Integration and cooperation between leading European research infrastructure and facilities specialising in offshore renewable energy systems.
- OPERA: Delivery of open access, high-quality open-sea operating data to support wave energy development.
PhD University of Exeter
Developed a combined risk-return methodology using system reliability assessment and energy output to determine location-specific guidelines for future offshore wind farm deployments at various stages of the industry lifecycle. Supervision team: Prof. Philipp Thies and Prof. Lars Johanning.
PhD thesis: Reliability assessment approach through geospatial mapping for offshore wind energy