Course detail

Welcome to New Energy Technologies and Systems

Description: This course introduces PhD students to a broad range of emerging energy technologies and integrated energy systems, addressing the global transition toward low-carbon and intelligent energy infrastructures. Participants will explore the fundamentals of renewable energy sources, energy conversion and transmission systems, and optimization and control methods. The course includes nuclear energy systems, in particular, Fusion technology, as foundational low-carbon technologies and discusses their control systems through real-world research and industrial examples. The use of Artificial Intelligent in energy system analysis and optimization is also covered, reflecting recent developments in smart grid and system-wide decision support tools. Some of the course content is based on the latest research findings in the field

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

Learning objectives: 
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. 

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

Organizer: Professor Zhe Chen, zch@energy.aau.dk

Lecturers: Professor Zhe Chen AAU Energi, Associate Professor Yanbo Wang AAU Energi, Professor Mauro Cappelli University og L'Aquila Italy

ECTS: 3

Time: 01 - 03 June 2026

Place: Aalborg University

City: Aalborg

Maximal number of participants: 30

Deadline: 11 May 2026

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at phdcourses@adm.aau.dk When contacting us please state the course title and course period. Thank you.