Welcome to Low power Energy Harvesting Technologies and Applications (2021)
This course is going to be held online.
Description: Low power energy harvesting mechanisms are unique opportunities to provide source of electrical energy for autonomous sensors for predictive maintenance applications, self-powered and wireless micro-actuators, monitoring devices for health care, energy hubs, Internet of Things (IoT)-enabled energy networks etc. This PhD course handles the fundamentals of energy harvesting technologies such as thermoelectric and electromagnetic devices by introducing recent development techniques and detailed module design. This course will continue with integration principles of the energy harvester modules with the system components to enhance output power performance of the modules. Furthermore, control of electrical output of the devices will be discussed for maximum power point tracking by power electronic converting methods. This course also addresses recent applications of such energy harvesting mechanisms with introducing opportunities, challenges and relevant applications in renewable energy IoT industries.
Read more about the course here: https://www.et.aau.dk/events/
Organizer: Associate Professor Alireza Rezaniakolaei - alr@et.aau.dk
Lecturers: Alireza Rezaniakolaei, Kaiyuan Lu, Amjad Anvari-Moghaddam, Erik Schaltz, Christian Uhrenfeldt
ECTS: 2.5
Time: 17-19 February 2021
Host: Aalborg University, Denmark
Number of seats: 25
Deadline: 1 February 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.
This course is going to be held online.
Description: Low power energy harvesting mechanisms are unique opportunities to provide source of electrical energy for autonomous sensors for predictive maintenance applications, self-powered and wireless micro-actuators, monitoring devices for health care, energy hubs, Internet of Things (IoT)-enabled energy networks etc. This PhD course handles the fundamentals of energy harvesting technologies such as thermoelectric and electromagnetic devices by introducing recent development techniques and detailed module design. This course will continue with integration principles of the energy harvester modules with the system components to enhance output power performance of the modules. Furthermore, control of electrical output of the devices will be discussed for maximum power point tracking by power electronic converting methods. This course also addresses recent applications of such energy harvesting mechanisms with introducing opportunities, challenges and relevant applications in renewable energy IoT industries.
Read more about the course here: https://www.et.aau.dk/events/
Organizer: Associate Professor Alireza Rezaniakolaei - alr@et.aau.dk
Lecturers: Alireza Rezaniakolaei, Kaiyuan Lu, Amjad Anvari-Moghaddam, Erik Schaltz, Christian Uhrenfeldt
ECTS: 2.5
Time: 17-19 February 2021
Host: Aalborg University, Denmark
Number of seats: 25
Deadline: 1 February 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: Amjad Anvari-Moghaddam
- Teacher: Majid Khazaee
- Teacher: Kaiyuan Lu
- Teacher: Alireza Rezaniakolaei
- Teacher: Erik Schaltz