26E063EOIE - Ecological/Renewable Energy Sources

Course specification
Course title		Ecological/Renewable Energy Sources
Acronym		26E063EOIE
Study programme		Electrical Engineering and Computing
Module		Electronics and Digital Systems, Physical Electronics - Biomedical and Nuclear Engineering, Physical Electronics - Nanoelectronics and Photonics
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Peđa Mihailović professor PhD Ivan Popović asst. professor MA Petar Atanasijević, electrical and computer engineer
Lecturer/Associate (for practice)		asst. professor MA Petar Atanasijević, electrical and computer engineer asst. MA Milena Mićić, electrical and computer engineer
Lecturer/Associate (for OTC)
ESPB		6.0	Status	elective
Condition		No prerequisite
The goal		To identify the problems of sustainable development concerning the energy needs. Efficiency of energy conversion between different domains. Energy conversion from renewable sources. Solar panel positioning. Work principles and technology of solar cell manufacture. Module requirements. Solar tracking techniques. Energy storage systems. Measurement and exploitation of wind energy.
The outcome		Knowledge of energy sources and possibilities of their use. Energy conversion efficiencies. Student knows how to position the solar panel and determine its energy yield and economic viability using software solutions. Choice an optimal energy storage for different renewable energy sources. Student is capable of overcoming the challenges regarding the measurement and exploitation of wind energy.
Contents
Contents of lectures		Energy consumption of mankind. Properties of renewable energy sources. Conversion efficiency. Sun's position. Photovoltaic cells, physical principles, technologies and properties. Panels. Solar tracking. Solar collectors. Energy storage. Wind energy, anemometers and measurement methods. Assessment of energy potential. Wind turbine characteristics and exploitation. Distributed energy resources.
Contents of exercises		Laboratory exercises, solar panel characterization, wind speed measurement and characterization of the wind-to-electricity energy conversion. The development and use of software solutions to model and predict the energy yield of a solar panel/wind turbine
Literature
J. Twidell, T. Weir, Renewable Energy Resources, Taylor & Francis Group, London and New York, 2006 (Original title) www.pveducation.org (Original title) Erich Hau, Windturbines, Springer Verlag, 2000. (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		45 lectures + 15 hours of problem solving exercises + 15 hours of open field exercises (solar panel characterization and wind speed measurement) and RETScreen software introduction.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures			Test paper	40
Practical lessons		20	Oral examination	0
Projects
Colloquia		40
Seminars