ECE 7810: Renewable Energy Systems (Spring 2024)
Instructor: Tariq Iqbal
Teaching Assistants: Check the course website
E-mail: tariq@online.mun.ca
Phone: 864-8934
Office Location: CSF-3122
Office Hours: Tuesday 10:30am to 12:30pm
Course Website: online.mun.ca
Communication: Preferred method is an email through the course website.
CALENDAR ENTRY:
ECE 7810 Renewable Energy Systems examines the assessment of wind energy potential, wind turbine aerodynamics, types, modelling and control strategies; hybrid energy systems; energy storage; solar energy systems; photovoltaic, PV system engineering, stand-alone and grid connected systems, sizing and maximum power tracking; solar water pumping; micro-hydro systems and control; tidal power, wave energy converters, ocean thermal systems. Applications of hybrid energy system sizing software are also included in the course.
LH: eight 3-hour sessions per semester
PR: ENGI 6843
LAB EXPERIENCE:
Five mandatory lab experiments (about 10 sessions) are to be completed by groups of students under the watch of teaching assistants/instructor. Students perform analysis of renewable energy systems, data logging, implementation using hardware components and a Solar/Wind Energy Training System. A written report is submitted by each group at the end of the lab sessions.
CREDIT VALUE: 3 credit hours
COURSE TYPE: Elective
ACCREDITATION UNITS: Contact hours/week on average over 12 weeks (Lecture/Lab/Tutorial): 3/2.0/0
CONTENT CATEGORIES: Engineering Science 66.7%, Engineering Design 33.3%
COURSE DESCRIPTION:
Renewable energy comes from natural resources such as Sun, wind, water, biomass and earth. A conversion system is required to convert renewable energy into electrical energy. This course covers several types of renewable energy conversion systems. It is a lecture-based course with five design assignments, five labs, a class test and a final exam. Available renewable energy resource estimation, system sizing, system design, modeling and control of renewable energy systems will be covered in the course. The course includes the following topics: introduction to Wind Energy Conversion Systems (WECS), assessment of wind energy potential, wind turbine aerodynamics, types of WECS, wind turbines modeling and control strategies, isolated and grid connected WECS systems, hybrid energy systems, energy storage, solar energy systems, photovoltaic cells, module and array concepts, PV system engineering, stand-alone systems, grid connected systems, concentrator systems, PV sizing and maximum power tracking, solar water pumping, micro-hydro electro-mechanical system and control, introduction to tidal power, wave energy converters, ocean thermal systems and hybrid energy system sizing using Energy3D, BEOpt, SAM, REopt and HOMER.
SCHEDULE: LECTURE: Tuesday and Thursday 12:30pm-1:45-m in Room: EN1002
LABs: About ten 3 hour sessions on Fridays 2:00 to 5:00pm in CSF-2102
TUTORIAL: None
REFERENCES:
Renewable Energy: power for sustainable future, edited by Stephen Peake, 4th edition, Oxford university press 2018. (ISBN: 978-0198759751).
Wind Energy Explained: Theory, Design and Application. by F. Manwell, J. G. McGowan, A. L. Rogers, 2nd edition, Wiley 2010 (ISBN: 9780470015001).
MAJOR TOPICS:
Lecture 1: Course introduction and overview of energy consumption
Lecture 2: Types of renewable energy system, resources, current status and future
Lecture 3: Energy in wind, types of wind turbines and their power characteristics
Lecture 4: Assessment of annual energy output of a wind turbine using bins method
Lecture 5: Introduction to wind turbine aerodynamics
Lecture 6: Introduction to mathematical modelling of wind energy conversion systems
Lecture 7: Control systems for wind energy conversion systems
Lecture 8: Introduction to variable speed wind turbines and grid connection
Lecture 9: Renewable energy grid interconnection standards and economics analysis
Lecture 10: Introduction to wind diesel hybrid power systems
Lecture 11: Types of large solar energy systems
Lecture 12: Solar cell, modules, panels and their electrical characteristics
Lecture 13: Design of photovoltaic systems and basic sizing
Lecture 14: Introduction to power electronics and control of PV systems
Lecture 15: Introduction to maximum power point tracking for PV systems
Lecture 16: Simulation of renewable energy systems in Simulink
Lecture 17: Renewable energy measurement and data logging systems
Lecture 18: Basic design of solar water pumping systems
Lecture 19: Introduction to electrical energy storage technologies
Lecture 20: Introduction to micro-hydro power
Lecture 21: Micro-hydro resource assessment and system design
Lecture 22: Introduction to micro-hydro power electrical system and control
Lecture 23: Introduction to ocean energy systems
Lecture 24: Introduction to wave energy conversion systems
Labs: (Friday 2-5pm, in CSF-2102/take home)
1. Log/Collect one day weather data and estimate available solar and wind energy
2. Test a small wind turbine with battery load and simulate that with a resistive load in Simulink
3. Model and simulate a PV panel with a resistive load in Simulink and determine its I-V characteristics curves
4. Connect a solar wind hybrid power system and determine it's performance for varying input resources
5. Determine losses in an isolated solar wind hybrid power system
LEARNING OUTCOMES: Course Level Graduate Attribute Focus: KB-D, PA-D, Des.-A Upon successful completion of this course, the student will be able to:
|
LEARNING OUTCOMES |
GRADUATE ATTRIBUTES. LEVEL OF COMPETENCE |
Methods of Assessment |
1 |
Explain working principles of various renewable energy systems. |
KB.8-D |
Labs, Assignments, Midterm, Final Exam |
2 |
Calculate available renewable energy resource and size a renewable energy system to meet the required load demand. |
KB.8-D, PA.2-D |
Assignments, Midterm, Final Exam |
3 |
Design a best renewable energy system possible for a particular location. |
PA.2-D, Des.3-A |
Assignments, Midterm, Final Exam |
4 |
Explain control and grid interface of wind turbines. |
KB.8-D, PA.2-D,
|
Assignments, Midterm, Final Exam |
5 |
Explain the control and grid interface of a solar system. |
KB.8-D, PA.2-D,
|
Assignments, Midterm, Final Exam |
6 |
Select and use appropriate engineering design and simulation tools. |
KB.8-D, Tools.1-A |
Assignments |
7 |
Design a small hydro installation and perform energy calculations. |
KB.8-D, Des.3-A |
Assignments, Midterm, Final Exam |
8 |
Design a hybrid renewable energy system to satisfy a given criteria and resources. |
KB.8-D, Des.3-A Impacts.1-A |
Assignments, Midterm, Final Exam |
9 |
Communicate technical system design information in a clear and effective manner in a report. |
KB.8-D, Comm.1-D |
Lab reports |
10 |
Test and verify the operation of a small wind turbine and a PV system in a lab environment. |
PA.2-D, Team.1-A, |
Labs |
Each Graduate Attribute for each learning outcome is rated at a Content Instructional Level of I=Introduced, D=Developed, or A=Applied. See www.mun.ca/engineering/undergrad/graduateattributes.pdf for definitions on the 12 Graduate Attributes and the Content Instructional Levels.
ASSESSMENT:
Design Assignments: 25% (5% each)
Assignment 1: May 28
Assignment 2: June 11
Assignment 3: June 25
Assignment 4: July 9
Assignment 5: July 23
Midterm: 20% June 25
Labs (5) 15% (check the course website for details)
Final exam 40%
LAB SAFETY:
Students are expected to demonstrate awareness of, and personal accountability for, safe laboratory conduct. Appropriate personal protective equipment (PPE) must be worn (e.g. steel-toed shoes, safety glasses, etc.) and safe work practices must be followed as indicated for individual laboratories, materials, and equipment. Students will immediately report any concerns regarding safety to the teaching assistant, staff technologist, and professor.
ACADEMIC INTEGRITY AND PROFESSIONAL CONDUCT:
Students are expected to conduct themselves in all aspects of the course at the highest level of academic integrity. Any student found to commit academic misconduct will be dealt with according to the Faculty and University practices. More information is available at https://www.mun.ca/engineering/undergrad/academicintegrity Students are encouraged to consult the Faculty of Engineering and Applied Science Student Code of Conduct at https://www.mun.ca/engineering/undergrad/policies/CodeOfConduct.pdf and Memorial University’s Code of Student Conduct at https://www.mun.ca/engineering/undergraduate/undergraduate-policies/engineering-student-code-of-conduct/. Individual work is expected of each student. Even if students work in groups, or discuss with others, assignments and reports should be independently prepared.
INCLUSION AND EQUITY:
Students who require physical or academic accommodations are encouraged to speak privately to the instructor so that appropriate arrangements can be made to ensure your full participation in the course. All conversations will remain confidential. The university experience is enriched by the diversity of viewpoints, values, and backgrounds that each class participant possesses. In order for this course to encourage as much insightful and comprehensive discussion among class participants as possible, there is an expectation that dialogue will be collegial and respectful across disciplinary, cultural, and personal boundaries.
STUDENT ASSISTANCE: Student Affairs and Services offers help and support in a variety of areas, both academic and personal. More information can be found at https://www.mun.ca/student/.
ADDITIONAL INFORMATION:
Safety is of paramount importance in all our activities. Please note safety/fire exits on the first floor.