About us:

Stegra, formerly know as H2 Green Steel, is on a mission to disrupt the global steel industry by producing green steel, with the end goal of bringing down CO2 emissions to zero. By using green hydrogen and fossil-free electricity instead of coal; water and heat will be our primary emissions. By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitalized, and sustainable plant in Boden, located in northern Sweden - currently in construction phase. But this is just the beginning – our expertise in green hydrogen will enable us to decarbonize other industries in addition to steel, and we look forward to what’s next in store for us.

We are looking for talented, innovative, and purpose-driven people to join our rapidly growing and diverse team. Our interns and thesis students get to learn everyday, implement the latest technology and test and put their ideas into practice. Together, we are building an impact company with sustainability at its core – for our people, customers, investors, society, and planet.

Project Background

Stegra’s Growth team has already created a digital model designed to iterate different scopes while optimizing Levelized Cost of Hydrogen (LCOH) and maximize green electricity usage. While this model currently serves the economic feasibility phase, a more sophisticated technical model is needed to assess grid independence and integration of new technologies for the next stages of project evaluation.

Objective

This Master’s thesis project aims to develop standalone Python models to further technical insights in plant operation, specifically focusing on enhancing grid independence through energy recovery and alternative heating solutions. The model should be interoperable with the existing Growth team model, enhancing its technical robustness.

As part of this thesis project, you will:

Develop Python Models:
- Heat recovery from waste streams for steam production.

- Heat recovery for internal heating applications.

- Model a biomethane-fueled heater for internal heating purposes.

Scenario Comparisons:
- Analyze the use of air vs. oxygen for burner systems, leveraging available oxygen as a byproduct of hydrogen production.

Model Integration:
- Ensure interoperability with the Growth team’s Python model to refine technical optimizations.

Potential Applications:
- Support internal project phases, including concept, pre-feasibility, and feasibility.

- Provide valuable insights for stakeholders.

- Establish a foundation for future research initiatives.

Candidate Profile:

We are looking for a Master’s student with:

- Strong programming skills in Python.

- Background in energy systems engineering, process engineering, or related fields.

- Interest in green hydrogen technology and decarbonization efforts.

- Analytical skills and attention to detail, with an ability to compare technical scenarios effectively.

Information:

Location of work: Boden or Stockholm

Start / End of project: January to end of May / beginning of June

What we can offer you

If you are passionate about making actual change and having a positive impact on society and our planet, Stegra offers a unique opportunity to be part of a fun and professional team with high ambitions.

You will get the opportunity to shape your future career together with a company focusing on creating a culture where everyone can thrive and feel a sense of belonging. In the end, we know that Stegra’s growth and success is dependent on our people and we can’t wait to shape the future of steelmaking and other industries together as a team.

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