New Energy technologies and Systems (2024)

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

Lecturers:
Professor Zhe Chen, AAU Energy
Professor Mauro Cappelli (mauro.cappelli@enea.it)
Assistant Professor Yanbo Wang, AAU Energy
PhD researchers, AAU Energy

ECTS: 3

Date/Time: 3-5 June 2024/ 8:30-16:00

Deadline: 13 May 2024

Place: AAU Energy, Pontoppidanstraede 101, room 1.001, Aalborg, Denmark

Max no. of participants: 30

Description: The course will provide training and education on the subject of new energy technology and energy systems, including the applications of optimisation methods and machine learning technology.

The Ph.D. course will include fundamental knowledge of energy sources, energy conversion systems, new energy technologies, multi energy system integration, transmission, and distribution.

Nuclear power and hydropower form the backbone of low-carbon electricity generation for many countries in the world, which provide almost three-quarters of global low-carbon generation. The course will also present the basics of nuclear energy systems in the context of low-carbon electricity generation. In particular, the problem of control of nuclear energy systems (fission and fusion reactors) with some examples coming from the industry and the research filed will be presented in more detail.

The basic techniques of analysis, operation, control methods for energy systems will be presented, including power system optimisation methods and the application of artificial intelligence machine learning methods. Some contents are based on up-to-date research results.

• Day 1:
  • Overview of Energy Utilisations, Zhe Chen, 1.5 hours
  • Basics of energy conversion systems, Zhe Chen, 1.5 hours
  • Renewable Energy and Energy Storage Technologies, Zhe Chen, 1.5 hours
  • Renewable energy transmission: operation and control, Yanbo Wang, 1.5 hours
• Day 2:
  • Basics of nuclear energy systems, Mauro Cappelli, 2 hours
  • Control of nuclear energy systems, Mauro Cappelli, 1.5 hours
  • Instrumentation and Control (I&C) Systems for Nuclear Applications, Mauro Cappelli, 1.5 hours
  • Principles of design of a central I&C System, Mauro Cappelli, 1 hours
• Day 3:
  • Optimisation methods and power system optimal control, Zhe Chen, 1.5 hours
  • Energy system integration and Optimization, Zhe Chen, 1.5 hours
  • Machine learning applications in energy systems, PhD researcher 1, 1.5 hours
  • Discussion and Assignments,1.5 hours

Prerequisites: General knowledge in electrical AC circuits and electrical power engineering, preferably background at the graduate level in power systems.

Form of evaluation: Assignments to be completed, the reports to be submitted and evaluated after the course.

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