In 2021, solar and wind power for the first time provided more than 10% of the world’s electricity [1]. This makes wind a major and strategic part of the mix to achieve the energy transition and a green economy. Despite broad public support for renewables in general, challenges in social acceptance for wind continue to occur regionally and locally. The opposition usually focuses on aspects such as wildlife safety, biodiversi-ty protection, noise, visibility and landscape impacts, and loss in property values [2, 3]. For the effective implementation of wind farms, it is crucial to understand and address these varying facets of social accept-ability. This study aims to assess the perspectives of residents living near wind farms across different Euro-pean regions, employing Multicriteria Satisfaction Analysis (MUSA) [4]. The objective is to devise region-specific strategies to enhance the acceptability of wind energy projects. Additionally, this research will ex-plore the relationship between socio-demographic and geographical characteristics of the residents and their acceptance of wind power, aiming to uncover underlying factors influencing the social acceptability of wind energy. - Engineering and Technology
- Master Thesis
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In this project, you will search the suitable current measurement methods and design the measurement system for strand current. You will validate your design with simulation tools like FEM. Finally you will implemented and test your design. - Electrical Engineering
- Master Thesis
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Development of a software tool which visualises the geometry of a basic switching cell based on geometrical parameters derived by converter optimisation procedures - Electrical Engineering
- Master Thesis, Semester Project
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Development of switching cell mechanical models in the X3D format based on geometrical parameters derived by converter optimisation procedures - Electrical Engineering
- Master Thesis, Semester Project
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Use Inverse Reinforcement Learning (IRL) to learn reward functions from previous expert drone demonstrations. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
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In this project you will model the 3D geometry of litz wire by a mathematical algorithm. Furthermore, the current density distribution and the eddy current losses should be calculated for different termination strategies and for different litz wire geometries by FEM. The impact of improper terminations should be qualitatively/quantitatively analysed. - Electrical and Electronic Engineering
- Semester Project
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The project focuses on optimizing the compact Marx generator, which charges capacitors in parallel and discharges in series to produce high-voltage pulses. Through FEM simulations, the objective is to design capacitor arrangements that limit the electrical field, mitigating equipment failures, and extracting parasitic elements. - Electrical Engineering
- Master Thesis
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Explore the use of large vision language models to control a drone. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
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Learn complex drone maneuvers from human feedback using Reinforcement Learning (RL). - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
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In this thesis the student is provided the opportunity to optimize and build a medium frequency transformer - Electrical and Electronic Engineering
- Master Thesis, Semester Project
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