Welcome to Low power Energy Harvesting Technologies and Applications
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.
Thermoelectric generator model and module design; Alireza Rezaniakolaei (3 hours)
- The lectures cover history of thermoelectrics, typical thermoelectric systems, basic arrangement & characterizing quantities, challenges for thermoelectrics, contact resistance, effect of geometry and inter-leg heat transfer.
Afternoon: Electromagnetic energy harvesters; Kaiyuan Lu (3 hours)
- The lectures cover the state-of-the-art designs of electromagnetic energy harvesters, typical design principle, device modelling, characterizing quantities, performance improvement challenges etc.
Morning: Integration of heat exchangers with thermoelectric modules; Alireza Rezaniakolaei (3 hours)
- The lectures cover coupled thermoelectric device/thermal system design, high performance cooling technologies, cooling energy vs. power generation, integrated model of thermoelectric & heat sinks.
Afternoon: MPPT and power electronic converters; Erik Schaltz (3 hours)
- The lectures covert thermoelectric generators modelling from power electronics point of view. Fundamentals of Power Electronics, power electronic converters for energy harvester device and maximum power point tracking (MPPT) algorithms for the device will be discussed.
Applications for thermoelectric energy harvesting; Alireza Rezaniakolaei (1:30 hours)
- The lectures cover integration of the thermoelectric generation with solar power systems and autonomous sensor platforms
Photovoltaic energy harvester and packaging solutions for high performance energy harvesters; Christian Uhrenfeldt (2 hours)
- The lecture covers in one part photovoltaic devices for energy harvesting from a material and design perspective and the link energy harvesting systems and in the other part cover packaging schemes and material requirements for efficient energy harvesting platforms.
IoT applications for low power energy harvesting; Amjad Anvari-Moghaddam (2 hours)
- The lecture covers a background on IOT definitions and edge devices, energy harvesting technologies and its requirements IoT applications.
Form of evaluation: Completion of design and metaphysics simulation of a form of the energy harvesting mechanisms or power output management of the chosen energy harvesting technology in the selective list of the tasks. The assignment will be done in groups and each group must submit the final report.
Organizer: Alireza Rezaniakolaei; Low Power Energy Harvesting and i-Solutions Research Programme
Lecturers: Alireza Rezaniakolaei (ALR), Kaiyuan Lu (KLU), Amjad Anvari-Moghaddam (AAM), Erik Schaltz (ESC), Christian Uhrenfeldt (CHU)
Time: 2-4 June 2020 Postponed for 2020
Number of seats: 25
Deadline: 12 May 2020
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 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.