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14 дней назад

Master Thesis - CFD Prediction of Green Fuel Combustion Applied to Gas Turbine Combustors (Hydrogen CFD)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Master Thesis - CFD Prediction of Green Fuel Combustion Applied to Gas Turbine Combustors (Hydrogen CFD): Evaluating combustion models and mesh strategies for pure hydrogen flames in Siemens Energy gas turbine combustors with an accent on CFD accuracy, computational cost, and RANS/LES simulations. Focus on applying the selected methodology to the SGT-800 combustor and comparing its accuracy with the standard approach.

Location: Finspång, Östergötland, Sweden

Company

hirify.global develops energy technologies for reliable and sustainable power generation, including gas turbines and decarbonization solutions.

What you will do

  • Evaluate combustion models for pure hydrogen combustion.
  • Investigate mesh and model strategies using RANS and LES simulations to achieve high accuracy with minimal cell counts.
  • Apply the selected methodology to part of the SGT-800 combustor and hirify.global’s hydrogen burner design.
  • Compare the improved methodology with hirify.global’s standard approach based on accuracy and computational cost.

Requirements

  • Currently enrolled in a master’s program in mechanical engineering, aerospace engineering, or a related field.
  • Strong background in heat transfer, FEM, and/or CFD analysis.
  • Programming experience and proficiency with numerical modelling and simulation software.
  • Good problem-solving, analytical, and communication skills.
  • The thesis is based in Finspång, Sweden.

Culture & Benefits

  • Work with the Computer Aided Engineering of Combustion Systems team and specialists in turbine and compressor CFD and heat transfer.
  • Collaborative environment focused on technical knowledge sharing and combustion research.
  • Benefits may include reduced working hours, advance vacation, and a health care allowance.
  • Possible flexible working arrangements may be available.

Hiring process

  • Applications are reviewed on an ongoing basis, and the position may be filled before the application deadline.
  • Applications should be submitted by 5 November 2026.

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