Master Thesis Gas Turbines Emissions optimization using Reinforcement

Master Thesis Gas Turbines Emissions optimization using Reinforcement Learning

Are you a master student planning to write your Master Grade during Spring 2021?

Join us on our journey #SiemensEnergy

Siemens Energy’s 91,000 employees around the world are passionately pursuing one common goal: to energize society with affordable, reliable, and sustainable energy systems.

Join our great team and put your energy to use.”

We are now looking for a student to take on the assignment “Gas Turbines Emissions optimization using Reinforcement Learning”

At Siemens Energy, one of our main goals is to reduce emissions caused by fossil fuel power generation, for that we have probes that are designed to measure the emissions throughout the machines operating time.

We ran the extra mile by working on having virtual emission probes, that apply AI to calculate the emissions according to the operating status of the machines. Such virtual probes make it possible to monitor the emissions and tweak the machines to abide by the rules and regulations, even if the machines design doesn’t allow to install physical emission probes.

In this project, you will work on using these virtual probes for automatic tuning of turbine operating settings. The idea is to develop a model that learns and applies the optimum settings that should give the most efficient outputs meanwhile producing the minimum NOx emission at the same time.  

Your tasks as part of this project will be:

·       Literature Review of existing methodologies for reinforcement learning and its applications in Gas turbines operation optimization.

·       Explore, process & understand the data available for this MSc thesis project.

·       Develop a baseline solution and understand the business impact of this solution.

·       Validate the methodology on different machines with different conditions.

Your Profile: 

·       The project is suitable for a student with academic background in energy systems, engineering, computer science, statistics, mathematics or another relevant field.

·       As a student you have strong analytical skills and solid mathematical background.

·       Besides, you are interested in data analytics (especially in prescriptive analytics) and you must have programming skills (preferable: Python, R or Julia).

·       We consider meritorious skills the knowledge of machine learning/deep learning-oriented libraries (scikit-learn, caret, mlr, keras, tensorflow, pytorch etc…), data handling libraries (Pandas or tidyverse).

·       We consider meritorious skills the knowledge of reinforcement learning frameworks (OpenAI Gym ,Keral-RL, …)

·       We consider meritorious a GitHub record with deep learning projects.

·       We consider meritorious Open-Source contributions.

Why should you be working at Siemens?

Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy systems for the future, thus supporting the transition to a more sustainable world. With its portfolio of products, solutions and services, Siemens Energy covers almost the entire energy value chain – from power generation and transmission to storage. The portfolio includes conventional and renewable energy technology, such as gas and steam turbines, hybrid power plants operated with hydrogen, and power generators and transformers. More than 50 percent of the portfolio has already been decarbonized. A majority stake in the listed company Siemens Gamesa Renewable Energy (SGRE) makes Siemens Energy a global market leader for renewable energies. An estimated one-sixth of the electricity generated worldwide is based on technologies from Siemens Energy. Siemens Energy employs 91,000 people worldwide in more than 90 countries and generated revenue of around €29 billion in fiscal year 2019. In Sweden Siemens Energy has 2600 employees in 10 locations.

At Siemens we value diversity by inclusion and by cooperating with people with different mindset, background, experience, competence and personal traits – in all organisational levels.

Read more about Siemens here:

www.siemens-energy.com.

Application

Do not hesitate - apply today via  https://jobs.siemens-energy.com/jobs refnr 221355  and no later than November 6^th. For questions about the role please contact recruiting manager Ronny Norberg  on +46 (122) 82304.

For questions about the technicalities of the projects please contact edgar.bahilo_rodriguez@siemens.com or mohamed-ahmed@siemens.comPlace of work: Finspång

Place of work: Finspång

Trade Union representatives:
Veronica Andersson, Unionen, 0122-840 21
Simon Von Eckardstein, Sveriges Ingenjörer, 0122-842 24
Jan Lundgren, Ledarna, 0122-812 33
Jonny Persson, IF Metall, 0122-817 69