Alstom EPSRC Case PhD Studentship

Alstom EPSRC Case PhD Studentship
PhD in "Advanced Virtual Prototyping for Sustainable Energy Generation"
University of Manchester
2015-06-12
Job Description

Wind and tidal turbines need to be designed for optimal operation over a range of environmental conditions; ensuring maximum power is extracted from the wind or tidal stream, thus maximizing the efficiency, whilst being able to withstand the loads that they are subjected to. The design must also take into account their environmental effects, such as noise generation. Arrays of turbines also present an engineering challenge, in the prediction of how the different turbines interact with each other.

Over last 30 years wind power generation has seen an increase in trend for the typical power output of a single turbine from 0.5MW to approaching 10MW, which has come with an increase in their size, with rotor diameters increasing from 15 metres to 160 metres. The increase in size has led to a significant increase in the noise production and greater risk of large deformations. It is therefore become increasingly important to be able to accurately predict these effects in order to be able to optimise the design.

Fluid-structure interaction (FSI) modelling offers the potential to accurately predict the deforming blade shape across the range of load conditions and thus improve the prediction of blade efficiency and noise production. Thus the aim of this project is to research and develop novel virtual prototyping techniques for FSI modelling that will be used on future supercomputers. The successful candidate will have the opportunity to evaluate these techniques on exemplar designs provided by the industrial sponsor, Alstom PLC.

The studentship covers tuition fees and provides a generous annual stipend of £17,500. Only UK and EU applicants who meet the entry requirements at the link below are eligible to apply. Successful applicants will need to demonstrate a good understanding of the engineering mathematics underlying CFD and/or FEA. They will also have a strong aptitude for computer programming. This may be in any language. Experience in programming in Fortran, C or C++ is highly desirable. Prior knowledge of high performance computing would be particularly useful for this project.

This position has now been filled.