Elkunder på Sjælland bliver flået - LiveBook
Elkunder på Sjælland bliver flået - LiveBook
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