Enhancing Wind Turbine Performance through Informed Operation and Maintenance
- Level
- Postgraduate
- Duration
- 3 years full-time
- Mode
- Full-time
- Subject
- Engineering
- Location
- United Kingdom
- Next intake
- OCT 2026
Overview
In order to maximise wind farm performance, it is essential that operation and maintenance strategies are optimised. In this project probabilistic models will be developed of whole turbine systems that are able to predict availability and performance over time. The models will incorporate the details of the turbine’s structure and the complexities of its operation, hence enabling consideration of various scenarios including both offshore and onshore turbines. The WT models will be extended to model farms containing multiple turbines of varying ages, enabling the consideration of various maintenance procedures including opportunistic maintenance. 94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021
Entry requirements
| Degree | 2:1 |
|---|
English language requirements
| IELTS | 6.5 overall, no part below 6 |
|---|
The standard University IELTS English language requirement is 6.5 overall with 6.0 in each individual element (reading, writing, listening and speaking).
Fees
International students: £29,500
UK students: £5,238
UK/Home: £5,238
International: £29,500
Start dates
October 2026
Application deadline
30 September 2026
Campus
- Loughborough, United Kingdom
Similar courses
Scroll sidewaysArchitecture BSc (Hons)
University of BedfordshireConstruction Management (top-up) BSc (Hons)
University of BedfordshireDoctor of Philosophy (IACE) PhD
University of BedfordshireMaster of Philosophy (IACE) MPhil
University of BedfordshireMaster of Science by Research (IACE) MSc
University of BedfordshireQuantity Surveying BSc (Hons)
University of BedfordshireMSc Engineering Business Management
Manchester Metropolitan UniversityEngineering management MSc online
Teesside University