Welcome to Application-Oriented Modelling of Renewable Energy Sources, Conversion and Energy Storage Systems (2021)
Description: This four-day course provides an overview and hands-on experience into the most common modelling methods used for the design, analysis, and planning of solar photovoltaic (PV) generation, wind power (WP) , and energy storage (ES) systems.
Organizer: Associate Professor Tamas Kerekes, tak@et.aau.dk
Lecturers: Associate Professor Tamas Kerekes, tak@et.aau.dk, Associate Professor Florin Iov, fi@et.aau.dk, Assistant Professor Daniel-Ioan Stroe, dis@et.aau.dk, Assistant Professor Sergiu Spataru, sersp@fotonik.dtu.dk, DTU
ECTS: 4.0
Time: 23-26 March 2021
Place: ONLINE
Zip code: 9220
City: Aalborg
Number of seats: 35
Deadline: March 2 2021
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.
Description: This four-day course provides an overview and hands-on experience into the most common modelling methods used for the design, analysis, and planning of solar photovoltaic (PV) generation, wind power (WP) , and energy storage (ES) systems.
The course will focus on the applicability and practical implementation of the models, and cover the following main topics:
- Modelling solar and wind resource: from high frequency variations to hourly, daily, and monthly averaged models;
- Detailed/dynamic models of the photovoltaic generator (PVG), wind turbine generator (WTG), power electronic converter (PEC) and battery storage system (BSS), used in applications where models with a high bandwidth are required, such as switching converter applications;
- Averaged, performance, and ageing models of the PVG, WTG, PEC, and BSS used in power system integration studies, power plant design, or performance monitoring and analysis.
The mornings are dedicated to lectures, while the afternoons are spent with off-line application examples and exercises in Matlab/Simulink, and laboratory exercises focusing on Real Time implementation using Opal-RT, where the students will apply the models and methodology in practice. No less than 40% of the course time is spent in the state-of-the-art Photovoltaic Systems Laboratory and the Smart Energy Systems Laboratory at the Department of Energy Technology at Aalborg University.
Read more about the course here: https://www.et.aau.dk/events/Organizer: Associate Professor Tamas Kerekes, tak@et.aau.dk
Lecturers: Associate Professor Tamas Kerekes, tak@et.aau.dk, Associate Professor Florin Iov, fi@et.aau.dk, Assistant Professor Daniel-Ioan Stroe, dis@et.aau.dk, Assistant Professor Sergiu Spataru, sersp@fotonik.dtu.dk, DTU
ECTS: 4.0
Time: 23-26 March 2021
Place: ONLINE
Zip code: 9220
City: Aalborg
Number of seats: 35
Deadline: March 2 2021
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: Florin Iov
- Teacher: Tamas Kerekes
- Teacher: Sergiu Spataru
- Teacher: Daniel-Ioan Stroe