• Energy systems
• Renewable energy
• Nuclear power
• Optimization
• Machine learning
• Energy integrationn

Participants should have a general background in electrical and energy engineering. A graduate-level understanding of optimization is preferable.

By the end of the course, participants will be able to:
Understand the key components of modern energy systems and new energy technologies
Explain the role of nuclear and renewable energy in low-carbon generation
Apply optimization techniques to power system operation and planning
Describe the architecture and control strategies of nuclear energy systems
Understand AI/ML methods in the context of energy system optimization
Understand multi-energy system challenges and technological solutions.

The course counts for 3 ECTS credit. All students will receive a diploma stating participation in the course.

Remarks - workload:
In total about 84 hours (18 teaching, 36 hours for preparations and practicing, 15 hours for simulation,15 hours for finalizing a report and examination)

Evaluation form: Participants are required to complete assignments and submit a final report based on the course content. Evaluation is based on the quality and
completeness of the submitted work.

Criteria for assessment: Active participation and engagement with the course study Completion and timely submission of assignment Quality and clarity of submitted report(s),
demonstrating understanding of core concepts, and analysis and computational results.

Selected articles, book chapters, presentations and software will be announced to the participants at the course site in PhD moodle. 

Please register here at the website of The Doctoral School in Engineering and Science here.

Please observe that it is impossible to register for PhD courses until 4 months before start

Outside of AAU
If you are from outside Aalborg University and you wish to enroll in one of our PhD courses, you must create a profile. This is done by clicking on “create new account” and filling out the form in PhD Moodle.

Cancellation
Cancellations are accepted no later than 2 weeks before the start of the course. The Doctoral School has a no-show fee of DKK 3.000 for each course where the student does not show up.

Registered illness sent to the course organizer and the aauphd@aau.dk is of course an acceptable reason for not showing up on those days.

Diploma
All passed participants will receive a diploma as a PDF file.
The Doctoral School kindly ask for your patience, as it might take a while before you receive the final course diploma. This is due to the process of gathering evaluations.

Please address questions regarding the evaluation or issue of the diploma to the Doctoral School, via email at phdcourses@adm.aau.dk

More information: www.energy.aau.dk/research/phd   

6000 DKK for PhD students outside of Denmark and 8000 DKK for other participants (Private, Industry and Universities) VAT-FREE Education)

PhD Student from Danish universities: The Danish universities have entered into an agreement that allows PhD students at a Danish university (except Copenhagen Business School) the opportunity to free of charge take a subject-specific course at another Danish university. Read more here: https://phdcourses.dk/ 

Guests at AAU Energy: Enrolled Guest PhD Students at AAU Energy can attend free of charge on the course if  available seats.