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wind power PhD Projects, Programs & Scholarships

We have 33 wind power PhD Projects, Programs & Scholarships

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  PhD Studentship Opportunity in The effect of non-neutral winds on wind power aerodynamics
  Dr M Placidi, Dr P Hancock
Applications accepted all year round

Funding Type

PhD Type

Renewable sources provided 29.3% of the electricity generated in the UK in 2017, with offshore wind turbines producing some 21% of that, and registering an increased capacity of 27% during the same year [1]; these trends are predicted to grow in line with 2030 and 2050 targets [2].
  Ice accretion on wind turbine blades
  Dr Y Lin, Prof J Wang
Applications accepted all year round

Funding Type

PhD Type

The abundant wind resource in cold and high altitude regions in the world is attractive for the increasing demand for renewable wind power production.
  Data-driven and physics-informed wind prediction and turbine control in offshore wind farms
  Dr X Mao
Applications accepted all year round

Funding Type

PhD Type

We are seeking applications from highly motivated, enthusiastic candidates for a PhD position to start as early as possible. This 3-year PhD studentship will cover Home/EU tuition fees and an EPSRC standard tax-free stipend.
  Power system optimisation under intermittent energy sources
  Dr P Date
Applications accepted all year round

Funding Type

PhD Type

The project will address optimisation of power distribution under intermittent energy sources (such as wind power) with unpredictable output.
  Design and Modelling of DC/DC Converters for HVDC Interconnections
  Dr A ALIAKBAR JAMSHIDI FAR, Prof D Jovcic
Applications accepted all year round

Funding Type

PhD Type

High Voltage Direct Current (HVDC) technology has been recognized as a solution for long-distance bulk-power transmission, asynchronous AC systems interconnections, interconnection of different regions requiring submarine and underground cables, and transmission of offshore wind power to shore.
  Cyber Security in Future Power Systems
  Dr J Ahmad, Prof B Buchanan
Applications accepted all year round

Funding Type

PhD Type

With the increase interest in renewable power generation, the demand for a smart and. intelligent power system is increasing. This has led to the use of digital communication.
  Machine Learning Approaches for Optimising Battery Operations in Smart Grids
  Dr S Azad
Applications accepted all year round

Funding Type

PhD Type

The project will investigate various machine learning approaches to optimise battery operations in the smart grid. Battery storage plays a vital role in smoothing out the fluctuations in energy demand and generation from distributed renewable sources.
  Towards Data Driven Aerodynamic Models: Data Fusion of Experiment and Simulation (EPSRC CDT in Distributed Algorithms)
  Dr S Timme, Dr J Castagna
Application Deadline: 31 May 2020

Funding Type

PhD Type

This studentship has been developed by the University of Liverpool in partnership with Aircraft Research Association Ltd.
  Integration of large offshore wind farms using direct DC/DC conversion and HVDC transmission
  Prof D Jovcic, Dr L Li
Applications accepted all year round

Funding Type

PhD Type

Aberdeen HVDC research centre is offering a PhD research project on the topic of high-power DC/DC converters for integrating offshore wind generators.
  Machine Learning Based Multi-Agent Control of Distribution Networks for Optimal Utilization of Ancillary Services
  Dr M Farrag, Mr A Arshad
Applications accepted all year round

Funding Type

PhD Type

SCEBE-20-021-MEFSF. Traditionally, power system is dominated by large generators that inject power into high voltage transmission, is transported to passive distribution networks and delivered to consumers at various voltage levels.
  Comparative Studies of Grid-Connected Doubly-Fed Wind Generators (Advert Reference: SF19/EE/MPEE/JOVANOVIC)
  Dr M Jovanovic, Prof K Busawon
Applications accepted all year round

Funding Type

PhD Type

The Doubly-Fed Induction Generator (DFIG) has been traditionally used for wind turbines with limited speed ranges due to its good performance and a low cost partially-rated converter.
  Data-driven analysis of energy systems
  Research Group: Dynamical Systems and Statistical Physics
  Prof C Beck, Dr B Schaefer
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2020 for self-funded students.
  Study a Funded PhD at Nottingham

Funding Type

PhD Type

With access to world-class facilities and having the opportunity to work alongside leading scholars, Nottingham is the perfect place to study your postgraduate research degree.
  Undersea cable monitoring for off-shore wind farms
  Dr R Nilavalan
Application Deadline: 26 June 2020

Funding Type

PhD Type

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020.
  Theory and Simulations of Space Weather in the Earth’s Magnetosphere
  Dr AN Wright
Applications accepted all year round

Funding Type

PhD Type

The environment surrounding a planet dominated by its magnetic field (called the magnetosphere) shields the planet from the solar wind.
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