PhD Advert Template - Aeroelasticity of Wind Turbines Under Extreme Weather Condition - Self-funded Students Only

Sep 1, 2026

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PhD recruitment advert for a project titled “Aeroelasticity of wind turbines under extreme weather condition,” addressing the growth of modern, larger offshore wind turbines and the aeroelastic effects that increase with size and harsher environments. The research develops a computationally inexpensive potential-flow model to predict flow separation and vortex-shedding using unsteady-vortex lattice methods, validated via high-fidelity simulations for simpler cases. The method supports studying aeroelastic response of very large wind turbines to improve design and reduce wind energy electricity costs.

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PhD Advert Template Your advert (including section headings) should not exceed 550 words. Project title: Aeroelasticity of wind turbines under extreme weather condition Project ID (optional): Accept all year-round applications Funding information: Self-funded students only Project description: Wind energy goes at the heart of the battle for reducing greenhouse gases, tackling challenges in energy sector and achieving net-zero emission. With increase in demand for renewable electricity wind turbines grows in size over the years to increase power output of each individual turbines. However, such increase in size results in increase in aeroelastic effects on blades and turbines structure that no longer can be ignored. Further, as the modern wind turbines are targeted to operate offshore, they are exposed to harsher weather conditions and higher wind speeds. This will also contribute to the larger, time-dependent loading on the turbine’s blades and structure. Considering these aeroelastic effect would results in more optimal design of these wind turbines, increase their durability and eventually reduces the cost of wind energy electricity. However, the current methods suitable for engineering design of the wind turbines and their aeroelastic simulations are not capable of accurately capturing a important phenomena such as massive separation and vortex-shedding over the blades. The aim of this research is to develop a model capable of accurately predicting flow separation and vortex-shedding over the turbine blade at extreme weather condition. The mathematical model would be in context of computationally inexpensive potential-flow methods such as unsteady-vortex lattice method. High-fidelity numerical simulations will also performed to provide a detailed information of the flow field for simpler cases and used for comparison and validation of the developed method. The method then will be applied to study the aeroelastic response of very large wind turbines and improve the design of these devices. Prerequisite: We are seeking highly motivated student with strong interests in renewable energy and numerical simulation. Good knowledge of flow dynamics and mathematical skills. Knowledge and experience of programming and experience with python and C++ are desirable. Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices. References (optional): Application enquires: Mohsen Lahooti, HYPERLINK "mailto:mohsen.lahooti@newcastle.ac.uk" \h mohsen.lahooti@newcastle.ac.uk We will also need to link your PhD advert up to the subject keywords below so that your PhD studentship can be found on findaphd.com. Please highlight up to three relevant keywords from the lists provided below. FindaPhD.comYou can select up to 10 subject areas. PhD Disciplines & Subject areas Agriculture ☐ agricultural sciences ☐ agricultural technology ☐ arable farming ☐ livestock farming ☐ forestry & arboriculture ☐ other Anthropology ☐ biological anthropology ☐ social anthropology ☐ other Architecture, Building & Planning ☐ architecture ☐ built environment ☐ construction management ☐ landscape architecture ☐ rural planning ☐ surveying ☐ urban planning ☐ other Biological Sciences ☐ bacteriology ☐ behavioural biology ☐ biochemistry ☐ biodiversity ☐ bioinformatics ☐ biophysics ☐ biotechnology ☐ cancer biology ☐ cell biology ☐ developmental biolog

FAQs

What is the PhD project about?

The project studies aeroelastic effects on wind turbine blades under extreme weather, focusing on predicting flow separation and vortex-shedding.

What modeling approach will the research use?

It will develop a computationally inexpensive potential-flow model based on unsteady-vortex lattice methods, with high-fidelity simulations for validation.

Who is eligible to apply and what are the prerequisites?

Accept all year-round applications; funding is for self-funded students only. Applicants should have strong interests in renewable energy and numerical simulation, with knowledge of flow dynamics and math skills; programming experience in Python and C++ is desirable.

Sep 1, 2026

Upload by Himbo