Welcome to Application-Oriented Modelling of Renewable Energy Sources, Conversion and Energy Storage Systems
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:
1. Modelling solar and wind resource: from high frequency variations to hourly, daily, and
monthly averaged models;
2. 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;
3. 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.
Prerequisites: Basic Matlab/Simulink knowledge is recommended for the exercises.
Form of evaluation: Individual evaluation of the student assignments received during the lecture and laboratory exercises.
Form and criteria of evaluation: The students will be evaluated based on an individual report that must be submitted in maximum 10 working days after the course is finished.
The individual report must document their solutions to the mandatory assignments received during each day the course.
Organizer: Assistant Professor Sergiu Spataru, ssp@et.aau.dk, Aalborg University and Associate Professor Dezso Sera, des@et.aau.dk, Aalborg University
Lecturers:
Assistant Professor Sergiu Spataru, ssp@et.aau.dk, Aalborg University
Associate Professor Dezso Sera, des@et.aau.dk, Aalborg University
Associate Professor Tamas Kerekes, tak@et.aau.dk, Aalborg University
Associate Professor Florin Iov, fi@et.aau.dk, Aalborg University
Assistant Professor Daniel-Ioan Stroe, dis@et.aau.dk, Aalborg University
ECTS: 4
Time: March, 04-07 2019
Place:
City:
Number of seats: 20
Deadline: February 11 2019
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 5,000 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 three 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:
1. Modelling solar and wind resource: from high frequency variations to hourly, daily, and
monthly averaged models;
2. 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;
3. 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.
Prerequisites: Basic Matlab/Simulink knowledge is recommended for the exercises.
Form of evaluation: Individual evaluation of the student assignments received during the lecture and laboratory exercises.
Form and criteria of evaluation: The students will be evaluated based on an individual report that must be submitted in maximum 10 working days after the course is finished.
The individual report must document their solutions to the mandatory assignments received during each day the course.
Organizer: Assistant Professor Sergiu Spataru, ssp@et.aau.dk, Aalborg University and Associate Professor Dezso Sera, des@et.aau.dk, Aalborg University
Lecturers:
Assistant Professor Sergiu Spataru, ssp@et.aau.dk, Aalborg University
Associate Professor Dezso Sera, des@et.aau.dk, Aalborg University
Associate Professor Tamas Kerekes, tak@et.aau.dk, Aalborg University
Associate Professor Florin Iov, fi@et.aau.dk, Aalborg University
Assistant Professor Daniel-Ioan Stroe, dis@et.aau.dk, Aalborg University
ECTS: 4
Time: March, 04-07 2019
Place:
City:
Number of seats: 20
Deadline: February 11 2019
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 5,000 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 three 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 Viorel Spataru
- Teacher: Daniel-Ioan Stroe
- Teacher: Dezso Séra