Bachelor Thesis: Systematic Literature Study: Research Gaps in Wind Turbine NVH Prediction and Drivetrain Dynamics

Website Chair for Wind Power Drives

The Chair for Wind Power Drives researches the behaviour of drive systems in modern multi-megawatt wind turbines. The research goals are to increase the availability, robustness, and energy efficiency of wind turbines and to reduce electricity production costs. To this end, software development tools and modern system test benches are used in combination.
As part of this bachelor thesis, the current state of research in modelling and predicting structure-borne and aeroacoustic noise in modern multi-megawatt wind turbines will be systematically reviewed and analyzed. The primary goal is to identify methodological gaps and emerging industry needs in NVH simulation, especially regarding the integration of prediction model, advanced simulation chains (CAD, FEM, MBS, CFD), and new drivetrain architectures. Existing simulation and modelling approaches from recent literature, will be critically examined for their applicability to next-generation wind turbine drivetrains.
The thesis will focus on evaluating the capability of current methods to realistically represent and predict the acoustic and vibrational performance. By synthesizing findings across literature and industry practice, the thesis aims to propose well-defined, feasible future research path.

Tasks:

  • Conduct systematic literature research and become familiar with the state of the art in wind turbine NVH, TPA.
  • Critically review and categorize research methods, focusing on existing gaps and industry pain points.
  • Analyze and document the limitations of current simulation and validation strategies, with reference to industry and regulatory requirements.
  • Identify critical and feasible knowledge gaps and future research paths.

Prerequisites:

  • High motivation and curiosity for independent scientific work.
  • Strong communication and teamwork skills
  • Prior knowledge in the field of wind turbine dynamics is desirable, but not mandatory.

We offer:

  • Scientific work in a highly motivated, interdisciplinary team
  • Intensive supervision and support
  • A thesis with an industry-related topic and high relevance
  • Immediate commencement is possible

 

We look forward to your application by email:

Vishal Mohan, M. Sc. RWTH
Chair for Wind Power Drives

Campus Boulevard 61, 52074 Aachen
vishal.mohan@cwd.rwth-aachen.de

 

Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an vishal.mohan@cwd.rwth-aachen.de