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.
Course literature:
· [1] Standard Handbook for Electrical Engineers, Seventeenth Edition ELECTRONICS. Santoso, Surya. Published by McGraw-Hill Education (2018). ISBN 10: 1259642585 .
· [2] M. Cappelli (ed.), Instrumentation and Control Systems for Nuclear Power Plants, Woodhead Publishing Series in Energy, Elsevier, 2022, ISBN 9780081028360
· [3] M. Cappelli, A. Bagnasco, J. Diaz, J. Sousa, F. Ambi, A. Campedrer, D. Liuzza, B. Carvalho, A. Ibarra, Status of the engineering design of the IFMIF-DONES Central Instrumentation and Control Systems, Fusion Engineering and Design, Vol. 170, 2021, 112674 (ISSN 0920-3796).
· [4] Cappelli, M., Castillo–Toledo, B., Di Gennaro, S., Nonlinear Control of pressurized water reactors with uncertainties estimation via high order sliding mode, Journal of the Franklin Institute, 2021, 358(2), pp. 1308–1326.
· [5] Jizhong Zhu, Optimization of Power System Operation, John Wiley & Sons, 27 Jan 2015
· [6] Abualigah L, Zitar RA, Almotairi KH, Hussein AM, Abd Elaziz M, Nikoo MR, Gandomi AH. Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques. Energies. 2022; 15(2):578
· [7] B. Gemmell, J. Dorn, D. Retzmann, and D. Soerangr, “Prospects of multilevel VSC technologies for power transmission,” 2008 IEEE/PES Transmission and Distribution Conference and Exposition, Chicago, IL, USA, 2008, pp. 1–16.
· [8] H. Akagi, “Classification, Terminology, and Application of the Modular Multilevel Cascade Converter (MMCC),” IEEE Trans. Power Electron., vol. 26, no. 11, pp. 3119–3130, Nov. 2011.
· [9] E. Solas, G. Abad, J. A. Barrena, S. Aurtenetxea, A. Carcar, and L. Zajac, “Modular Multilevel Converter With Different Submodule Concepts—Part I: Capacitor Voltage Balancing Method,” IEEE Trans. Ind. Electron., vol. 60, no. 10, pp. 4525–4535, Oct. 2013.
· [10] T. Modeer, H. Nee, and S. Norrga, “Loss comparison of different sub-module implementations for modular multilevel converters in HVDC applications,” presented at the Proceedings of the 2011 14th European Conference on Power Electronics and Applications, Birmingham, 2011, pp. 1–7.
Organizer: Professor Zhe Chen, zch@energy.aau.dk, Aalborg University
Lecturers: Professor Zhe Che Aalborg University
Professor Mauro Cappelli (mauro.cappelli@enea.it)
Assistant Professor Yanbo Wang, Aalborg University
PhD researchers, Aalborg University
ECTS: 3
Date/Time: 14-16 February 2023/ 8:30-16:00
Deadline: 24 January 2023
Place: AAU Energy, Aalborg
Max no. of participants: 30
Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce 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 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. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Zhe Chen
- Teacher: Yanbo Wang