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Elkunder på Sjælland bliver flået - LiveBook

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Phd scholarships<br />

in Wind Energy<br />

The Wind Energy Division at the National Laboratory for Sustainable Energy, Technical University of Denmark (Risø DTU)<br />

is doing research, innovation and education in the eld of wind energy. This includes activities within meteorology,<br />

wind turbine technology and integration of wind energy in power systems. The development of wind energy in<br />

Denmark is characterized by a public-private partnership between universities and industry.<br />

We have 11 PhD scholarships available for students who want to play a part in the development of new knowledge<br />

within wind energy. You can see a short description of the positions below. You can nd the full job postings on<br />

dtu.dk/career. The application deadline is 14 August 2011.<br />

O shore Wind Turbine<br />

Foundation Design<br />

This project will study the e ect of<br />

marine loading (waves and current) on<br />

deep water wind turbine support<br />

structures and also determine the e ect<br />

of uncertainties in the predicted loading<br />

on the support structure.<br />

Two-dimensional Rotor<br />

Plane Wind Data Retrieval<br />

– HTF Wind Lidar<br />

Lidars (laser based anemometers) provide<br />

possibilities for controlling a wind turbine<br />

for the bene t of power production and<br />

mechanical load reduction. A spinner<br />

mounted lidar will be used for turbine<br />

steering and control.<br />

Wind Turbines and<br />

Aero-acoustic Noise<br />

Noise is an increasing concern for communities<br />

living nearby wind turbines.<br />

The design of low-noise wind turbines<br />

requires the use of validated and accurate<br />

engineering noise models which in the<br />

project will be compared to computational<br />

aero-acoustics and experiments.<br />

Integrated Aero-servoelastic<br />

Design Optimization of Wind<br />

Turbine Rotors<br />

New tools for computing the nonlinear<br />

steady state of a wind turbine rotor,<br />

its stability and frequency-domain characteristics<br />

including the controller<br />

allows an integrated rotor design<br />

process that includes aerodynamics,<br />

structural dynamics, and control.<br />

Wind Power Plants<br />

System Services<br />

The objective of this project is to analyze<br />

and assess the possibilities to exploit<br />

wind power plants capabilities to support<br />

the power system in a similar way as a<br />

conventional power plant.<br />

Electromechanical<br />

Drivetrain Simulation<br />

The drivetrain model from the main<br />

bearing to the generator is modeled as<br />

a exible multibody system with appropriate<br />

generator control. Various load<br />

cases for a multi-MW machine will be<br />

studied and used for optimization of the<br />

drivetrain.<br />

Development of E cient<br />

Turbulence Models for<br />

CFD Wake Simulations<br />

The project will focus on development<br />

and evaluation of advanced turbulence<br />

models aimed at turbine wake modelling.<br />

The study will include comparison with<br />

experiments and time resolved LES type<br />

simulations.<br />

Flutter of<br />

Wind Turbine Blades<br />

This projects aims at investigating the<br />

uncertainties in the present predictions<br />

of classical utter of wind turbine blades<br />

by use of improved aeroelastic engineering<br />

models and full 3D CFD blade computations.<br />

Integrated Wind Power<br />

Planning Tool<br />

The primary objective of this industrial<br />

PhD (Enfor.eu) is to develop a statistical<br />

model for the variability of the wind<br />

power production in the coming hours to<br />

days depending on prevailing weather.<br />

High resolution meteorological mesoscale<br />

models will be used.<br />

Experimental Stereo Vision<br />

Studies of Flow and Structural<br />

E ects on Wind Turbines<br />

Modern vision technologies show great<br />

potential in wind energy research.<br />

In this project they will be used and<br />

developed to study dynamical movements<br />

of turbines and also certain ow<br />

properties.<br />

Multiple<br />

Turbine Wakes<br />

The project will contribute to a more fundamental<br />

understanding of accurate load<br />

and power predictions in wind farms<br />

based on advanced ow modeling of the<br />

wakes and eld experiments including<br />

lidar data.<br />

Additional information and apply online on: dtu.dk/career

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