IE00AG66 Energy Harvesting Technologies (5 cr)
Cooperation network course
Network: FITech Energy studies for Master’s students
Available for: Doctoral studies, Master's students and Bachelor's and Master's students
This course is offered through the Network for Fitech Energy 2. These studies are available for master's and doctoral degree students studying in the Faculty of Mathematics and Science and the Faculty of Information Technology.
Description
- Definitions and boundaries of power generation and energy harvesting
- Materials for energy harvesting technologies
- Solar, kinetic and thermal energy harvesting technologies
- Structures and power sources for wireless sensor networks
- Energy storage for wireless sensor networks
- Hybrid and multi-source energy harvesting solutions
- Industrial and practical use cases of energy harvesting systems
- Guest lecture from industry for ultralow-power electronics
Learning outcomes
- Students will understand the fundamental and advanced concepts and designs of self-sufficient, autonomous electronic systems for various sensing applications.
- Students will learn the materials, devices and working mechanisms of different energy harvesters and corresponding self-powered systems.
- Students will learn advanced energy storage options used for self-sufficient, autonomous sensing systems.
- By learning this course, students may start to develop towards qualified designers and coordinators of R&D projects for energy harvesting systems in both academia and industry.
Additional information
Recommended courses related to this course:
- 521215S Microelectronics project
- 521210A Electronics Materials
- 521181S Modern topics in telecommunications and radio engineering 11 - Principles and advanced techniques for RF power transfer and energy harvesting - Enabled wireless networks
Timing
The course is held in the period 3.
Target group
Master's level students, doctoral level students, and professionals.
Description of prerequisites
- The students should have a Bachelor's or Master's degree in Physics, Chemistry, Electrical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or Materials Engineering.
- The students should also have a learning interest in topics of advanced materials, wireless sensing, Internet of Things (IoT), or smart city.