AAU Energy (2024)

Organizer: Assistant Professor Ariya Sangwongwanich – Aalborg University, ars@energy.aau.dk

Lecturers: Professor Ariya Sangwongwanich – Aalborg University,  Postdoc Mateja Novak – Aalborg University, Radu Dan Lazar – Danfoss Drives

ECTS: 2

Date/Time: 23/09/2024 – 24/09/2024

Deadline: 2 September 2024

Place: AAU Energy, Pontoppidanstraede, Aalborg, Denmark

Max no. of participants: 20

Description: The three-level neutral-point-clamped (3L-NPC) converters have been widely applied in several applications including motor drives and grid integration such as wind and solar energy systems. Key performance metrics of the 3L-NPC converters like power quality, efficiency, power density and reliability are strongly affected by the used control methods. Therefore, different control methods have been proposed for the 3L-NPC topology to address certain aspects.

This course aims to address basic concepts and control design challenges of NPC converter applications. It will start with basic operating principles of the topology and their control challenges such as neutral point voltage balancing and thermal stress distribution. Then, two different control approaches will be presented: 1) carrier-based PWM techniques and 2) model predictive control techniques. For each control technique, basic concept and step-by-step implementation guideline will be provided, followed by more application-oriented examples and implementation challenges.

An approach to analyze the reliability of power electronics converters will also be introduced, which includes thermal stress modeling, lifetime prediction, and reliability evaluation (Monte Carlo simulation). It will be demonstrated that control algorithm selection has a major impact on the reliability of semiconductor devices and DC-link capacitors in NPC converters. In the last part of the course the focus will be set on practical application cases of NPC converters in the industry.

The course is intended both for academia researchers and industry, who do not have previous knowledge about the NPC topology (basic operating principles will be explained), and for those who are familiar with the topology and would like to learn more about ongoing research directions and novel control solutions.

Prerequisites:

• Fundamentals of power electronics
• Experience with MATLAB/Simulink is recommended for the exercises

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course at phdcourse.dk (more details and course litterature)

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 3000 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.

Organizer:     Postdoc Xin Sui xin@energy.aau.dk & Prof. Remus Teodorescu ret@energy.aau.dk  

Lecturers:      Dr. Xin Sui, Aalborg University, Denmark
                       Prof. Remus Teodorescu, Aalborg University, Denmark
                       PhD student Nicolai André Weinreich, Aalborg University, Denmark                       
                       Dr. Roberta Di Fonso, Aalborg University, Denmark

ECTS: 2.0

Date/Time: 27-28 November 2024

Deadline: 06 November 2024

Place: AAU Energy, Pontoppidanstraede 111, Aalborg, Denmark

Max no. of participants: 30

Description:  Lithium-ion batteries have a wide range of applications, and their safe and reliable operation is essential. However, due to the complex electrochemical reaction of the battery, the battery performance parameters show strong nonlinearity with aging. Therefore, as the main technologies in BMS, battery state estimation and lifetime prediction remain challenges. Artificial Intelligence (AI) technologies possess immense potential in inferring battery state and can extract aging information (i.e., health indicators) from measurements and relate them to battery performance parameters, avoiding a complex battery modeling process. Therefore, this course aims to introduce the application of AI in Smart Battery state estimation.

This two-day course introduces AI methods for estimating/predicting batteries’ state of charge (SOC), state of health (SOH), state of temperature (SOT), and remaining useful life (RUL). Key aspects include laboratory data preparation, data preprocessing, AI model training and selection.

In addition to the classic algorithms of AI, e.g., support vector regression, Gaussian process regression, neural networks, transfer learning, and multitask learning, feature extraction and selection methods will be included in the discussion.

In terms of training, two modes will be introduced (depending on the accuracy, robustness, and computation complexity of the selected AI algorithm), i.e., with feature extraction and without feature extraction. According to multiple case studies, the strengths and drawbacks of different AI algorithms will be compared.

Exemplifications of some of the discussed topics will be made through exercises in Python and MATLAB.

Day 1: Introduction to AI and battery state estimation – Xin Sui, Remus Teodorescu, & Nicolai André Weinreich

• Lecture 1: Introduction to Smart Battery: how AI makes battery smart  - Remus Teodorescu
• Lecture 2: AI in general part 1 - Nicolai André Weinreich
• Lecture 3: AI in general part 2 - Nicolai André Weinreich
  
• Exercise 1: Applying AI in an end-to-end project - Nicolai André Weinreich
• Lecture 4: Lithium-ion batteries basis - Xin Sui
  
• Lecture 5: Introduction to SOX (SOC, SOT, SOH, RUL) - Xin Sui
• Lecture 6: SOH estimation using machine learning - Xin Sui
  
• Exercise 2: Training an NN for SOC/SOH estimation - Xin Sui

 Day 2: Applied AI in battery modeling and balancing – Xin Sui, Roberta Di Fonso, & Yusheng Zheng

• Lecture 7: AI for battery modeling and optimization Part 1 - Roberta Di Fonso
• Lecture 8: AI for battery modeling and optimization Part 2 - Roberta Di Fonso
• Exercise 3: Clustering and classification of data - Roberta Di Fonso
  
• Lecture 9:  State-of-the-art AI algorithms in battery lifetime prediction - Xin Sui
• Lecture 10: Physics-informed Neural Networks  - Yusheng Zheng
  
• Lecture 11: Physics-informed Neural Networks - Yusheng Zheng
• Wrap up of the course and lab visit

Prerequisites: Fundamental understanding of characteristics of Li-ion batteries, and familiar with programming using MATLAB/Python. Note: the course language is English.

Form of evaluation: Students are expected to solve a few exercises and deliver an individual report with solutions and comments

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course (more details and course litterature)

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 3000 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.

Organizer: Assistant Professor Ariya Sangwongwanich ars@et.aau.dk

Lecturers: Assist. Prof. Ariya Sangwongwanich

ECTS: 2

Date/Time: 06/06/2024 – 07/06/2024

Deadline: 16/05/2024

Place: AAU Energy, Aalborg campus, Pontoppidanstraede 101, Aalborg, Denmark

Max no. of participants: 30

Power electronics are essential for power conversion of Photovoltaic (PV) systems and their reliability of power electronics systems strongly affects the availability and consequently the levelized cost of energy (LCOE) of PV energy. According to field experience, the power electronics systems (e.g., PV inverter) are among the most fragile parts in PV systems that contribute to a majority of system downtime. With the demand to further reduce the cost of PV energy, the reliability of power electronics in PV systems needs to be improved to reduce the (unexpected) failure in field operation. This calls for a better design methodology as well as a proper control strategy.

This PhD course aims to address the reliability challenge and solution for power electronics in PV applications. It will cover the design aspects related to power electronics reliability for PV systems. A step-by-step modeling approach from mission profile to the reliability performance (e.g., failure rates) will be introduced. The reliability of key components such as power devices and dc-link capacitors will be elaborated in details, and solutions to enhance their reliability through the design and control methods will be discussed and demonstrated. Moreover, emerging solutions and new technology to further enhance the reliability performance of the power electronics in PV applications will be also be covered in the lecture. 

Prerequisites:

• Basic knowledge of power electronics circuit and electrical engineering
• Basic knowledge of circuit simulation software, e.g., Matlab/Simulink, PLECS

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course at phdcourse.dk (more details and course litterature)

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 3000 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.

Organizer: Professor Huai Wang, hwa@energy.aau.dk

Lecturers: 
Prof. Huai Wang, Aalborg University, Denmark
Prof. Francesco Iannuzzo, Aalborg University, Denmark
Reliability Consultant Peter de Place Rimmen, Denmark
Associate Prof. Dao Zhou, Aalborg University, Denmark
Assistant Prof. Ariya Sangwongwanich, Aalborg University, Denmark
Assistant Prof Yi Zhang, Aalborg University, Denmark
Assistant Prof Shuai Zhao, Aalborg University, Denmark

ECTS: 4

Date/Time: November 19-22, 2024

Deadline: 29 October 2024

Place: AAU Energy, Pontoppidanstraede, Aalborg, Denmark

Max no. of participants: 40

Description: The course will be the latest research outcomes of the Center of Reliable Power Electronics (CORPE). Since 2013, more than 250 participants from universities and companies have been trained in this 3-day course. By considering the feedbacks from participants and newly obtained research results from CORPE in the last few years, the 2023 version of the course will be 4 days focusing on failure mechanisms and degradation models of active power devices and capacitors, system-level reliability assessment and design tools, and reliability testing methods.

The course will have the following five main parts:

• Introduction to modern reliability and robustness approach
• Reliability testing methods and testing data analysis
• Long-term wear out and single-event abnormal operation of active power modules and capacitors
• Design tools and reliability analysis of power electronic systems
• Condition monitoring and operation optimization of power electronic components and converters
  
  

Prerequisites: Basic understanding of power electronics, power semiconductor devices, capacitors, and basic statistics.

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course (more details and course litterature)

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 3000 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.

Organizer: Prof. Remus Teodorescu, Aalborg University.

Lecturers: Asst. Prof. Abhijit Kulkarni and Asst. Prof. Arman Oshnoei

ECTS: 3.0

Date/Time: 3-5 April 2024

Deadline: 13 March 2024

Place: AAU Energy, Aalborg, Pontoppidanstraede 101, Denmark

Max no. of participants: 30

Description: Power converters are ubiquitous in a wide range of applications from mobile phone chargers rated for a few watts of power to megawatt-rated power converters for wind turbines. Power converters are essential in safety critical systems such as aerospace controllers, medical devices. There are different types of power converter topologies depending on the power rating and application. The power converters need to satisfy certain standards and operate as per the design for practical conditions.

This course is developed to provide insights and methodologies used for practical design of power converters. Practical design builds on top of the ideal design methods that select the power converter components such as semiconductor devices, inductors, capacitors, transformers and integrated chips. The practical considerations such as thermal design, snubbers for addressing parasitic effects, higher-order effects such as skin/proximity effect are discussed. Non-idealities such as the impact of high frequency response of passive elements, semiconductor device capacitances, dead-time effect are discussed and the design considering these is outlined.

This course considers a design example for an aerospace application where non-idelaities and devices stress limits as per aerospace standards are taken into account for the practical design. The power converter is an aerospace exterior light that is exposed to wide temperature range of -55oC to +45oC ambient with extreme environmental conditions. The design example will provide a realfeel to the power converter design in a safety critical application that needs to satisfy certain industrial standards.

The course will have laboratory exercises to appreciate the effects of non-idealities in a real power converter (dc-dc converter interfaced to a digital controller and a grid-connected inverter). The students will observe the waveforms and modify certain components and study their impact on the power converter response.

• Day 1: Introduction to practical design of power converters – Abhijit Kulkarni
• Day 2: Selection and use of controllers in practical power converters – Abhijit Kulkarni/Arman Oshnoei 
• Day 3: Laboratory exercises – Abhijit Kulkarni/Arman Oshnoei
  
  

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Prerequisites: Fundamental understanding of basic electrical engineering concepts. Experience with an introductory course on power electronics will be an advantage but not compulsory.

Note: the course language is English.

Find more information about the course here

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 3000 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.

Organizer: Professor Huai Wang hwa@energy.aau.dk

Lecturers: Professor Huai Wang, Assistant Professor Subham Sahoo, Postdoc Zhongting Tang, Assistant Professor Yi Zhang, Assistant Professor Ariya Sangwongwanich

ECTS: 4

Date/Time: December 10 - 13, 2024 from 08:30-16:30. 

Deadline: 19 November 2024

Place: AAU Energy, Aalborg, Pontoppidanstraede, Denmark

Max no. of participants: 40

Description: The course was initiated in 2020 aiming to lay a solid foundation in power electronics could be beneficial to them independent of which power electronic topics they are working on, which provides also a wider scope of power electronics besides their specific research topics. It will have in-depth introduction of circuit theories, modeling methods, and hands-on prototyping of power electronic converters. The emphasis is on those aspects that are generic and not limited to specific applications. Moreover, a design case study will be used during the entire course for illustrating how to implement a converter prototype step-by-step, from component sizing, circuit design, control, simulation, prototyping, and testing. PCB assemblies will be available for the participants to perform laboratory testing.

• Day 1: Power electronic circuit theories 
• Day 2: Power electronic modeling and control methods
• Day 3: Power electronic converter prototyping and testing 
• Day 4: Practical power electronic components 
  
  

Prerequisites: A basic understanding of power electronic components, topologies, and control methods are necessary, the participants are supposed to have already attended a master-level power electronic course or equivalent.

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course (more details and course litterature)

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 3000 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.

Organiser: Jakob Hærvig

Lecturers:
Jakob Hærvig, Aalborg University (AAU)
Johan Rønby, Roskilde University (RUC)

ECTS: 5

Dates: 10-14 June 2024 (week 24)

Time: 9-16:30

Deadline: 20 May 2024

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

Format: In person

Max no. of participants: 25

Course webpage: https://opensourcecfdcourse.dk/

Description This course is an introduction to CFD using OpenFOAM, which is the most widely used open-source toolkit for CFD. The fact that OpenFOAM is open-source makes it highly versatile allowing you to modify any aspect of the code to your needs and set up fully automated workflows. In this course, you will get knowledge about all aspects of OpenFOAM and learn how to comfortably set up simulation of various fluid flows yourself. See the course webpage for a detailed description. A full description day-to-day schedule can be found at our course website.

Prerequisites: Participants need to be familiar with the most basic linux commands before attending the course. Training material will be sent out to participants in due time before the course starts.

Form of evaluation: The course will be evaluated through miniprojects.

Course literature: Participants need a working installation of OpenFOAM before attending the course. A guide will be sent out to participants in due time before the course starts.

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 3000 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.

Organiser: Amin Hajizadeh (aha@energy.aau.dk) and Mohsen Soltani (sms@energy.aau.dk)

Lecturers: Amin Hajizadeh (aha@energy.aau.dk), Mohsen Soltani (sms@energy.aau.dk)

ECTS: 5

Date: 2-6 December (Week 49, 2024)

Deadline: 11 November 2024

Place: Niels Bohrs Vej 8, 6700 Esbjerg, Aalborg University (room C1-104)

Max no. of participants: 20

Intelligent and multivariable control methods are growing in industrial electronic systems like power electronic converters, renewable energy systems, and electric drives. The course is focused on the application of multivariable control and intelligent control techniques for industrial electronic systems.

The main topics are as follows:

• State feedback control theory
• Design and implementation of fuzzy controller for industrial electronic systems
• Design and implementation of multivariable and robust Control theory for industrial electronic systems

• Day 1: Robust Control 1 (Mohsen), Linear System Analysis and Modelling of Power Electronic Converters (Amin)
• Day 2: Robust Control 2 (Mohsen), Optimal Linear Control (Amin)
• Day 3: Fuzzy control Systems (Amin), Robust Control 3 (Mohsen)
• Day 4: Robust Control 4 (Mohsen), Fuzzy Neural Control (Amin)
• Day 5: Robust Control 5 (Mohsen), AI in Power Electronics (Amin)

Prerequisites: Control theory, power electronics

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course (more details and course litterature)

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 3000 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.

Organizer: Prof. Francesco Iannuzzo, fia@energy.aau.dk

Lecturers: Prof. Francesco Iannuzzo, AAU Energy

ECTS: 2

Date/time: 15-16 August 2024, 2 days,

Deadline: 25 July 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Format: In person

Max. no. of participants: 15

Description: After more than four decades of development, Insulated Gate Bipolar Transistors (IGBTs) are widely used in many high-power industrial applications. However, the complex and harsh working conditions are demanding higher and higher reliability, reaching up to 30-year expected operating life. In parallel with IGBT modules, gate drivers have been also improved dramatically over the years, significantly contributing to reliability improvement. In fact, as an important interface between IGBT modules and controllers, modern gate drivers do not only provide optimal switching signals but also monitor the operation status of IGBT modules themselves. In particular, benefiting from the understanding of semiconductor behavior matured over the years, both wear status and abnormal events can be monitored and detected, respectively, thanks to modern IGBT gate driver technologies. This course presented an overview of state-of-the-art advanced gate driver techniques for enhancing the reliability of IGBT modules, hence power converters. The course contents can be summarized in general switching theory, modern gate driving strategies, active thermal control, detection, and protection methods.

Prerequisites: basic knowledge of power device and power converter operation

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course at phdcourse.dk

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 3000 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.

Organiser: Associate Professor Daniel-Ioan Stroe, dis@energy.aau.dk

Lecturers: Assistant Prof. Søren B. Vilsen (AAU-MATH), Associate Professor Daniel-Ioan Stroe (AAU-Energy)

ECTS: 2.0

Date: 21 – 22 May 2024

Deadline: 30 April 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Format: in person

Max no. of participants: 30

This two-day course introduces key aspects of machine learning, predictive modelling, and model validation. Focusing on quantitative predictive models for Lithium-ion battery state-of-health modelling. The course will present an end-to-end framework from when data is gathered to a model has been created and used for state-of-health estimation.

• Day 1: Lithium-ion batteries and ML-based feature extraction and reduction 
• Day 2: Machine Learning for battery SOH estimation

 Prerequisites: Fundamental understanding of probability and statistics is recommended. Furthermore, basic knowledge of either R, Matlab, or python is strongly recommended.

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course (more details and course litterature)

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 3000 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.

Organiser: Associate Professor Daniel-Ioan Stroe, dis@energy.aau.dk

Lecturers: 
Assoc. Prof. Daniel-Ioan Stroe, AAU Energy, Assoc. Prof. Erik Schaltz, AAU Energy, Assoc. Prof. Florin Iov, AAU Energy, Ass. Prof. Vaclav Knap (Czech Technical University in Prague, Czech Republic), Dr. Maciej Swierczynski (Xolta Energy Storage Systems, Denmark)

ECTS: 2.0

Date: 7 – 8 November 2024

Deadline: 17 October 2024

Place: AAU Energy, Pontoppidanstraede, Aalborg, Denmark

Format: in person

Max no. of participants: 25

Description The objective of this two-day course is to provide the attendees with an extensive overview of Lithium-ion battery applications, such as EVs, grid support, nanosatellites or hybrid charging stations. Battery requirements for these applications as well as Li-ion batteries operation (power and energy management & mission profiles) in these applications will be thoroughly discussed.

• Day 1: Lithium-ion Battery Applications. Daniel-Ioan Stroe, Vaclav Knap, and Florin Iov; 7.5 hours
• Day 2: Lithium-ion Battery Management and Applications. Maciej Swierczynski and Erik Schaltz; 7.5 hours
  
  

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course (more details and course litterature)

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.

Organiser: Associate Professor, Saqib Sohail Toor, sst@energy.aau.dk

Lecturers: Associate Professor, Saqib Sohail Toor, AAU Energy
Associate Professor, Thomas Helmer Pedersen, AAU Energy
Associate Professor, Daniele Castello, AAU Energy
Assistant Professor, Kamaldeep Sharma, AAU Energy
Postdoc, Eliana Maria Lozano Sanchez, AAU Energy

ECTS: 3.0

Date: March 4-6, 2024

Deadline: 12 February 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Format: in person

Max no. of participants: 15

The course is designed about biofuels and biomass liquefaction technology in the context of energy and chemical products. The course will introduce fundamental principles of liquefaction, focusing on hydrothermal liquefaction. Based on this, it will move on to upgrading technology for biocrudes and drop-in biofuels approach. Furthermore, the course discusses process analysis and design, process modeling tools and process implementation

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Prerequisites: chemistry, chemical or process engineering

Find more information about the course here

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.

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

Lecturers: Professor Zhe Chen, Aalborg University, Denmark
Assistant Professor Yanbo Wang, Aalborg University, Denmark
Post doc. Fellow Kaiqi MA, Aalborg University, Denmark
PhD researchers, Aalborg University, Denmark

ECTS: 3

Date/Time: 12-14 March 2024 / 8:30-16:00

Deadline: 20 February 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Max no. of participants: 30

Description: The course will provide training and education in the field of stability theory, stability of modern electric power systems with synchronous generators, power electronics-interfaced renewable generators, and other power electronic systems, such as HVDC and Flexible ac transmission systems (FACTs). The PhD course will cover basic knowledge of stability theory, electrical power system stability, impacts of power electronic conversion system, electrical machines and renewable energy generators on the system stability, especially, the stability under the large scale integration of renewable generators and significant reduction of conventional synchronous generators. Some of the course contents are based on recently obtained research results

The main topics are as follows:

• Overview of power system stability and classification
• Basics of stability theory
• Angle stability
• Frequency stability of power systems
• Voltage stability of power systems
• Multi-time scale and quasi steady state simulation
• Frequency response and regulation of renewable energy plants
• Small signal stability and analysis method
• Large signal stability and analysis method
• Sub-synchronous oscillation
• Stability of power electronic dominated power systems

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Prerequisites: Preferably to have general knowledge in electrical engineering.

Find more information about the course 

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.

Organizer: Prof. Remus Teodorescu, Aalborg University.

Lecturers: Prof. Remus Teodorescu, Aalborg University, Asst. Prof. Arman Oshnoei, Aalborg University, Asst. Prof. Abhijit Kulkarni, Aalborg University. 

Guest Lecturer: Assoc. Prof. Amin Mahmoudi, Flinders University, Adelaide, Australia.

ECTS: 3.0

Date/Time: 19-21 June 2024

Deadline: 29 May 2024

Place: AAU Energy, Pontoppidanstræde 101, Aalborg East, Denmark

Max no. of participants: 30

Description: Join us for a comprehensive three-day course exploring the field of energy storage systems and their role in modern power grids. 

This course is an essential experience for anyone looking to gain an in-depth understanding of energy storage systems, their economic considerations, modeling, control, and grid integration. Our expert-led sessions and practical exercises provide a comprehensive and hands-on exploration of this exciting field.

• Day 1: Introduction to Energy Storage Technologies and Grid Integration – Remus Teodorescu, Arman Oshnoei, Abhijit Kulkarni
• Day 2: Control and Modelling of Energy Storage Systems for Power System Frequency Control - Arman Oshnoei
• Day 3: Energy Storage Systems and Power Converters: Design, Modeling, Control, and Grid Integration - Arman Oshnoei

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Prerequisites: Fundamental understanding in power systems, power electronics, and familiar with control theory. Experience in using Matlab/Simulink

Find more information about the course here

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.

Organiser: Professor Josep M. Guerrero, joz@energy.aau.dk and Professor Juan C. Vasquez, juq@energy.aau.dk

Lecturers: Assistant professor, Najmeh Bazmohammadi, naj@energy.aau.dk, Professor Josep M. Guerrero, joz@energy.aau.dk, Professor Juan C. Vasquez, juq@energy.aau.dk

ECTS: 3

Date and Time: May 15-17, 2024

Deadline: 24 April 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Format: Hybrid

Max no. of participants: 20

Energy is a resource that needs to be managed and decisions need to be made on optimal production, storage, distribution, and consumption of energy. How much power to produce, where and when, and assigning resources to needs in the most efficient way is decided by the Energy Management System.

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Prerequisites: Familiarity with basics of power systems operations, mathematical modelling, linear algebra. Skills regarding programming with Matlab is also needed.

Find more information about the course (more details and course litterature)

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 3000 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.

Organiser: Associate Professor Torsten Berning, tbe@energy.aau.dk, AAU Energy

Lecturers: Associate Professor Torsten Berning, Associate Professor Vincenzo Liso, Associate Professor Samuel Araya, Associate Professor Søren Højgaard Jensen from AAU Energy

ECTS: 4

Date/Time: 27. August – 30. August 2024

Deadline: 06 August 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Format: in person

Max no. of participants: 25

We will cover the fundamentals of electrochemical energy conversion with a focus on proton exchange membrane (PEM) fuel cell technology and PEM, alkaline, and solid oxide electrolyzer technology. The course is a mix of theoretical classes and laboratory exercises.

This PhD course is an introduction to electrochemical energy conversion with a focus on fuel cell technology (gas to power) and electrolyzer technology (power to gas). In detail, it will provide

•        An introduction to the thermodynamics of electrochemical energy conversion;
•        An overview of the different types of fuel cells and elecytrolyzers and their materials;
•        An introduction of the different ways of modeling of electrochemical devices and systems;
•        A familiarity with the different experimental methods to test and characterize electrochemical energy converters;

As the conclusion of the course, an attendee will be well prepared to understand and follow more sophisticated state-of-the-art literature in this field, to be able to understand simple (zerodimensional) models of fuel cell systems using software such as EES and know the benefits and drawbacks of advanced (multi-dimensional) models of the fluid flow in electrochemical devices that employ the methods of computational fluid dynamics. The attendee will also have an overview of the various experimental methods that can be employed to test electrochemical devices. This PhD course is aimed at recent graduates, professional engineers and the likes.

• Day 1: Thermodynamics of electro-chemical energy conversion, Different types of fuel cells and water electrolyzers.
• Day 2: Fuel cell and electrolyzer components, fuel cell and electrolyzer modeling
• Day 3: Experimental methods in theory and practice: Electrochemical impedance spectroscopy, hot wire anemometry, Cyclic Voltammetry, Neutron Radiography
• Day 4: Industrial perspectives: Current and future challenges. A visit by or from a local fuel cell manufacturer
  
  

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course at phdcourse.dk (more details and course litterature)

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 3000 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.

Organiser: Prof. Francesco Iannuzzo, fia@energy.aau.dk

Lecturers: Prof. Eckart Hoene, AAU and Fraunhofer IZM and Prof. Francesco Iannuzzo, AAU Energy

ECTS: 3

Date/Time: 11-13 November 2024

Deadline: 21 Oktober 2024

Place: AAU Energy, Pontoppidanstraede, Aalborg, Denmark

Format: in person

Max no. of participants: 25

Semiconductor power switches are the main component of modern Power Electronics circuits. This course presents the main power switch types used in traction applications, starting from giving a design perspective and ending giving technological insights. The course develops on three days. The first one is mainly devoted to the semiconductor part, the second one on the packaging part, both days looking both at design and technology. The third day is mainly groupwork where participants will design an application-specific automotive module.

Prerequisites: basic knowledge of circuit theory

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Find more information about the course (more details and course litterature)

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 3000 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.

Organizer: Dr. Subham Sahoo sssa@energy.aau.dk

Lecturers: Dr. Subham Sahoo, AAU Energy

ECTS: 2,5 ECTS

Date/Time: 30 September - 2 October 2024

Deadline: 8 September 2024

Max no. of participants: 40

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Description: Microgrids are becoming a cornerstone of power distributions systems that will facilitate the realization of a carbon-neutral electric power systems. Alongside their flexibility to be operated in both grid-connected and autonomous modes, they also provide natural interfaces with many types of RES and ESSs and good compliance with consumer electronics. Moreover, microgrids can be grid-interactive by providing grid supportive functions such as frequency response and, regulation, reactive power support and voltage regulation, etc. All these facts lead to more and more deployment of microgrids in transmission and distribution levels. Furthermore, with proliferation of communication technologies, microgrids are evolving into cyber-physical systems (CPS) that use sophisticated software-based networked control. This increased sophistication imposes numerous new challenges involving coordination, operation philosophy and vulnerability to cyber-attacks. Cyber-attacks can be designed in many ways:  (a) sensor infiltration, (b) communication infringement. Even though several hard-bound secure protocols are designed to ensure the authenticity of the actual signal, the attackers usually target the control layer as an easy target. Hence, this course aims to focus on: (a) identifying the vulnerable access points in microgrid controllers, (b) introducing the most prominent cyber-attacks, (c) detection of cyber-attacks in realtime, (d) removal of these attack elements and ensuring stability/preventing system shutdown, (e) various stability issues in microgrids due to cyber-attacks, (f) design of cyber-attack resilient controllers for microgrids, which heals by itself despite any cyber intrusion attempts. Experimental lab demonstration is expected as well along with discussion on future research ideas.

• Day 1: General information about cyber security and its impact on microgrids – Subham Sahoo
• Day 2: Cyber security framework for microgrids – Subham Sahoo
• Day 3: Cyber security laboratory exercise and demonstration – Subham Sahoo

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Prerequisites: Practicing knowledge in power electronic systems and control theory. Experience in using Matlab/Simulink

 Find more information about the course here

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 3000 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.

Organiser: Shuai Zhao szh@energy.aau.dk and Huai Wang, hwa@energy.aau.dk

Lecturers: Shuai Zhao, szh@energy.aau.dk, Huai Wang, hwa@energy.aau.dk, Mateja Novak nov@energy.aau.dk, Yi Zhang yiz@energy.aau.dk, Subham Sahoo sssa@energy.aau.dk

ECTS: 3

Date/Time: 24-26 April 2024 from 08:30-16:00. 

Deadline: 03 April 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Max no. of participants: 30

This course provides State-of-the-art synergy applications of artificial intelligence in power electronics in lifecycles of system design, control, and maintenance, including but not limited to the latest research outcomes from the Center of Reliable Power Electronics at Aalborg University.

Description: Artificial intelligence (AI) has significantly revolutionized research activities and industrial applications in image processing and natural language processing. Likewise, the synergy of power electronics and computer science is expected to unleash great potentials in power electronic systems as well with their transition towards data-rich ones. From the power electronics perspective, this course aims to focus on two essential aspects of this interdisciplinary field, i.e., artificial intelligence and advanced data analytics. It is organized following a typical pipeline when implementing data-driven solutions in power electronics, ranging from the initial data collection to the final decision-makings. As a 3-day course, it includes fundamentals, tools, applications, handson exercises, and outlook, which are specifically tailored for power electronic applications. Combining with several case studies where AI has shown great benefits, the attendees are expected to establish solid foundations and skills of AI and data analytics to address core challenges in datadriven applications in power electronics.

• Day-1: Fundamentals
• Day-2 : Applications and Examples
• Day-3: Outlook and Project Exercise

Prerequisites:

• Fundamentals of power electronics
• Fundamentals of probabilistic models and statistical analysis
• Experience with MATLAB/Python*
  

* Please get familiar with Python basics and set up your Google Colab account before the course. A tutorial of Google Colab can be found: https://www.tutorialspoint.com/google_colab/google_colab_tutorial.pdf

* Matlab installed with the predictive maintenance toolbox. You may find more details in the below link: https://www.mathworks.com/products/predictive-maintenance.html

Find more information about the course here

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 3000 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.

Organiser: Associate Professor Amjad Anvari-Moghaddam, aam@energy.aau.dk

Lecturers: Associate Professor Amjad Anvari-Moghaddam – Aalborg University, Professor Behnam Mohammadi-ivatloo – Lappeenranta-Lahti University of Technology

ECTS: 3

Date/Time: 28 February – 1 March 2024 08:30-16:30

Deadline: 07 February 2024

Format: Online

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Max no. of participants: 30 persons

Optimal decision-making is a must in energy system planning and operation as the non-optimal decisions may lead to high economic losses and/or technical issues. The course on “Advanced Optimization Techniques for Energy Systems Planning and Operation” is aimed at providing an in-depth introduction to energy system optimization methods. The course will contain a wide range of the basic methods to advanced techniques with hand on examples related to energy systems. The participants will learn how to implement the methods using optimization packages such as GAMS and MATLAB.

Link: www.energy.aau.dk/research/phd

Find more information about the course here

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 3000 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.

Organiser: Associate Professor Zhenyu Yang, AAU Energy

Lecturers: Professor Roozbeh Izadi-Zamanabadi, Dept of Electronics Systems, AAU and Associate Professor Zhenyu Yang, AAU Energy, AAU

ECTS: 4.0

Date: week 20, 13 May – 17 May 2024

Place: Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700 Esbjerg

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT. A link for the payment by credit card will be announced efter deadline for registration.

Deadline: 22 April 2024

Format: hybrid (online & in person)

Max no. of participants: 30

As a part-time Professor at AAU, Dr. Izadi-Zamanabadi is also a Lead Control Expert at Danfoss A/S. He has over 30 years research and development experiences on FDD and FTC, as well as applications of advanced FDD and FTC in diverse industrial systems.

Dr. Yang has over 30 years research and development experiences in the FDD and FTC areas, including both traditional model-based methods and data-driven learning methods.

Description: A Fault Tolerant Control (FTC) system is referred to a controlled system that poses the capability to accommodate system component faults/failures automatically and is capable of maintaining overall system stability and acceptable performance in the event of such faults. An active FTC approach often consists of two integrated online functionalities, i.e., Fault Detection and Diagnosis (FDD) and Control Reconfiguration (CR). The FTC plays an essential rule in safe-critical systems, which now cover a wide range of engineering systems, from aircrafts, airspace systems and nuclear reactors, to the recent emerging energy systems, such as smart grid systems, offshore wind farms etc. The ultimate objective of applying FTC techniques is to cost-effectively increase engineering system’s reliability, safety availability and maintainability. This course covered the fundamental essentials and some latest results in active FTC research area, along with diverse application case studies. The course daily plan consists of about 4-hour lectures and 2-hour exercises every day, such as;

• Day 1: Introduction & State-estimation-based FDD 
• Day 2: FMEA and Structual Analysis (SA) method
• Day 3: Data-driven modeling and FTC methods 
• Day 4: Unknown input observer & Machine-learning based FDD methods 
• Day 5: Advanced FTC design & applications 
  
  

Prerequisites: The participants need to have the fundamental knowledge about classical control theory (transfer-function based) and modern control theory (state-space based).

Find more information about the course here