|Funding for:||UK Students, EU Students|
|Funding amount:||£14,777 (based on 2018/2019 EPSRC stipend)|
|Placed On:||6th December 2018|
|Closes:||31st January 2019|
Funding for: UK Students, EU Students
Funding amount: £14,777 per annum (based on 2018/2019 EPSRC stipend)
Duration: 3.5 years
Supervisors: Simon Hogg & Grant Ingram
Durham University is seeking PhD students as part of our EPSRC Prosperity Partnerships project (EP/R004900/1). This £7.6M project is a collaboration between the Universities of Sheffield, Durham and Hull and the two leading industrial companies in offshore wind energy, Siemens-Gamesa and Ørsted (formerly DONG Energy). The successful applicants will be working with researchers across the three academic partner institutions and alongside industrial experts from Siemens-Gamesa and Ørsted. They will also have close links to the Durham Energy Institute (www.dur.ac.uk/dei) and be able to access training through the University’s Researcher Development Programme.
Improving the aerodynamic performance of offshore wind turbines.
The project is to investigate improved numerical techniques for predicting the impact of erosion damage and repair, on the aerodynamic performance of offshore wind turbines. This PhD study will be in close collaboration with Siemens-Gamesa and Ørsted.
The first step in the project will be to perform wind tunnel tests on idealised geometries with different surface roughness that are representative of blade erosion, in order to generate a body of test data for method validation purposes.
Commercially available numerical tools will be used to develop a method for predicting the impact of the erosion damage on aerodynamic performance. This method will be validated using the wind tunnel test data. This validated methodology will be a major output from the project. The latter part of the study will involve applying the new method to assess the impact of blade erosion damage and the repair methods used on the performance of an in-service offshore wind turbine, using data on the blade surface degradation over time measured during the service life of this machine.
The following criteria are desirable:
Funding and Application Process
Applications should be submitted no later than 31st January 2019.
For informal enquiries please contact :
Type / Role: