Energy Harvesting (FSI-RAE)

Academic year 2020/2021
Supervisor: doc. Ing. Zdeněk Hadaš, Ph.D.  
Supervising institute: ÚMTMB all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
The objective of the course “Energy Harvesting” is to familiarize students with basic principles of energy harvesting systems as well as methods of electro-mechanical conversion, principle of photovoltaic cells and thermoelectric generators. The emphasis is on understanding the physical principles of energy harvesting methods mainly electro-mechanical conversion and simulation modelling of such mechatronic systems.
Learning outcomes and competences:
The “Energy harvesting” deals with overview of independent ways of generating energy from surroundings for autonomous supplying of wireless sensors, remote electronics and low power devices. Students will be able to: Analyze of ambient energy for energy harvesting from the concrete industrial system. Select the best way of supplying of modern autonomous electronics. Simulation modelling of electro-mechanical conversion.
Prerequisites:
Kinematics and dynamics, Solving the 2nd order differential equations, Laws of electromechanical energy conversion, Laws of conservation of energy, Basic knowledge of measurement of electrical and non-electrical quantities, Simulation software Matlab-Simulink and ANSYS (basic knowledge).
Course contents:
The course “Energy Harvesting” deals with introduction of unique ways of the energy generating from surroundings. Currently remote electronics, autonomous low power devices and wireless sensors are powered by batteries. One possibility to overcome energy limitations of batteries or possibly fully substitute batteries is to harvest energy from the environment to power the electronics. The ambient energy is available in the form of radiation, thermal energy and mechanical energy of the environment. The course “Energy Harvesting” is focused on energy harvesting from mechanical energy of vibrations, shocks, deformation, human behaviour etc., and simulation modelling of energy harvesting systems.
Teaching methods and criteria:
The course is taught through lectures explaining the basic principles and theory of the discipline. Teaching is suplemented by practical laboratory work.
Assesment methods and criteria linked to learning outcomes:
The students will solve reports from the exercises and labs and students create the final project, which are necessary for awarding the course-unit credit.
Controlled participation in lessons:
Attendance at practical training is obligatory. Absence is compensated by special tasks according to instructions of the tutor.
Type of course unit:
    Lecture  13 × 1 hrs. optionally                  
    Laboratory exercise  13 × 2 hrs. compulsory                  
Course curriculum:
    Lecture 1. Introduction of energy harvesting technologies
2. Photovoltaic cells
3. Thermoelectric generators
4. Electro-mechanical conversion – physical principles
5. Electro-mechanical conversion – analysis of ambient vibration energy
6. Electromagnetic principle
7. Design of electromagnetic generators
8. Mechatronic system of energy harvesters
9. Piezoelectric principle
10. Piezoelectric materials and other SMART materials
11. Energy storage elements, Electronics – power management
12. Wireless sensor networks
13. MEMS
    Laboratory exercise 1. Analysis of ambient energy for energy harvesting
2. Model of solar cells a thermo-electric generators
3. Thermoelectric module model
4. Thermoelectric energy harvesting system
5. Mechanical energetic analysis
6. Simulation and modelling of electromagnetic conversion
7. Model of magnetic field
8. Simulation modelling of complex electromagnetic generator
9. Measurement of energy harvesting generator
10. Model of piezoelectric elements and basic analysis
11. Model of piezo-generator
12. Model of power management electronics
13. Presentation of final projects
Literature - fundamental:
1. Shashank Priya, Daniel J. Inman: Energy Harvesting Technologies, Springer US, 2009
2. Olfa Kanoun: Energy Harvesting for Wireless Sensor Networks: Technology, Components and System Design, De Gruyter Oldenbourg, 2018.
3. A. K. Batra, Almuatasim Alomari: Power Harvesting Via Smart Materials, SPIE 2017.
4. Fiala, P., Kadlecová, E.: Modelování elektromagnetických polí, FEKT VUT v Brně, 2005.
5. Grepl, R.: Modelování mechatronických systémů v Matlab/SimMechanics, BEN, 2007.
Literature - recommended:
1. Tom J. Kaźmierski (Editor), Steve Beeby (Editor): Energy Harvesting Systems: Principles, Modeling and Applications, Springer, 2011.
2. Mukherjee, S., et al.: AmIware Hardware Technology Drivers of Ambient Intelligence, Philips Research Book Series Vol. 5, Springer Netherlands, 2006.
3. Adams, Thomas M., Layton, Richard A.: Introductory MEMS Fabrication and Applications, 2010.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
M2I-P full-time study M-AIŘ Applied Computer Science and Control P linked to branch B-AIR GCr 5 Elective 2 2 W
M2I-P full-time study M-AIŘ Applied Computer Science and Control -- GCr 5 Elective 2 2 W
M2A-P full-time study M-IMB Engineering Mechanics and Biomechanics -- GCr 5 Compulsory-optional 2 2 W
M2A-P full-time study M-MET Mechatronics -- GCr 5 Compulsory-optional 2 2 W