Master’s thesis: Greening Wind Power – A Comparative Life Cycle Assessment of Greases for Wind Turbine Main Bearings

Webseite Institute of Machine Elements and System Engineering

The Institute of Machine Elements and System Engineering researches the fundamental structural and tribological behaviour of machine elements and represents them in experimentally validated model descriptions. These model descriptions are used to analyse and design the functional, loss and noise behaviour of entire technical systems with a focus on drive technology. The developed models are also used to research and develop methods of Model Based Systems Engineering as a central element of future inductive product development processes.

Wind turbines are a crucial part of renewable energy. To ensure their smooth operation, well-lubricated main bearings are essential. However, the lubricating greases used in these main bearings can have environmental impacts. This project aims to assess different grease types used in wind turbine main bearings through Life Cycle Assessment (LCA) analysis. LCA analysis involves assessing the entire journey of these greases—from raw material extraction and production to usage, disposal, and recycling—to identify potential environmental hotspots and propose more sustainable solutions. By comparing the life cycles of various grease formulations, this assessment will provide insights into which types are more sustainable, with the potential to improve resource efficiency and reduce emissions. Ultimately, this research will contribute to a greener and more efficient wind energy industry.

(Greases | Wind energy | LCA | Sustainability)

Tasks:

  • Learn LCA software (like OpenLCA, etc.)
  • Goal and Scope Definition
  • Inventory Analysis
  • Impact Assessment
  • Interpretation
  • Preparation of final report

Requirements:

  • Critical thinking
  • Independent working
  • Mechanical or related background

We offer:

  • Relevant research problems
  • Excellent work atmosphere and facilities
  • Flexibility in work organization
  • Suitability for home office
  • Intensive guidance through weekly meetings
  • Immediate start or by arrangement
  • Employment possibility after thesis completion

 

We look forward to your application by email:

Ankit Saxena, Ph. D.
Institute for Machine Elements and Systems Engineering

Schinkelstraße 10, 52062 Aachen
ankit.saxena@imse.rwth-aachen.de

Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an ankit.saxena@imse.rwth-aachen.de