• Medical Research Council, Harwell Featured PhD Programmes
  • University of Bristol Featured PhD Programmes
  • Northumbria University Featured PhD Programmes
  • National University of Singapore Featured PhD Programmes
  • University of East Anglia Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • University of Leeds Featured PhD Programmes

Postgrad LIVE! Study Fair

Birmingham | Bristol | Sheffield | Liverpool | Edinburgh

University of Birmingham Featured PhD Programmes
Newcastle University Featured PhD Programmes
Loughborough University London Featured PhD Programmes
University of Portsmouth Featured PhD Programmes
University of Bristol Featured PhD Programmes

AACE-AFM-376: A numerical study on aerofoil trailing edge noise and its reduction methods for the next-generation wind turbines

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr J.W. Kim
  • Application Deadline
    Applications accepted all year round

Project Description

The rapid growth of wind energy production in recent years has reached a stage where the aerodynamic noise emission from wind turbines is a critical issue to overcome in order to successfully continue increasing the scale of the turbines and reducing the cost of energy (CoE). The fundamental principle to tackle the aerodynamic noise issue is to design the turbine blades in such a way that the source of noise is alleviated without changing the aerodynamic efficiency of the blades that is critical for CoE. One of the most effective ways to achieve such a low-noise blade design is to use “serrations” on the trailing-edge of the blades from which the noise emission is strongest (at an operating condition). Vestas (one of the largest wind-turbine manufacturers in the globe) has been successful in developing blades with serrated trailing-edges (STEs) in recent years and they are in service now.

The proposed PhD project at the University of Southampton is part of the Vestas multidisciplinary programme next generation low noise rotor.. This particular PhD project aims to achieve detailed understandings of the physical mechanisms of the noise generation and its reduction due to the STEs, modelling and simulations for various blade geometries and flow conditions. The project will be carried out mainly based on high-fidelity numerical simulations and engineering prediction model. Simulations will be performed by using an in-house code CANARD (Compressible Aerodynamic & Aeroacoustic Research coDe) developed at the University of Southampton. The code is based on high-order finite-difference methods and is fully parallelised on an MPI platform (running on the national supercomputer ARCHER as well as the local IRIDIS-4 cluster with a supra-linear scalability with up to 10,000+ processor cores). Some more relevant information about the computational work can be found in https://doi.org/10.1017/jfm.2016.841.

We are looking for an applicant with a strong background in aerospace engineering, acoustics, applied mathematics or physics with a first-class bachelor’s or master’s degree. An interest in theoretical modelling is important and experience with scientific computing is a distinct advantage. The studentship will cover full tuition fees and stipend at the standard EPSRC level for 36 months (a total of £58,390 of which 60% is funded by Vestas). Also, additional funding for international/local travels is provided.

Please note that the studentship is available for UK or EU nationals only.

If you wish to discuss any details of the project informally, please contact Dr Jae-Wook Kim, Aerodynamics & Flight Mechanics research group, Email: j.w.kimsoton.ac.uk, Tel: +44 (0) 2380 594886.

How good is research at University of Southampton in General Engineering?

FTE Category A staff submitted: 192.23

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

Meet University of Southampton at


Cookie Policy    X