COURSE UNIT TITLE

: INTRODUCTION TO ENERGY MANAGEMENT

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 3936 INTRODUCTION TO ENERGY MANAGEMENT ELECTIVE 3 0 0 4

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR KEMAL SUBULAN

Offered to

Industrial Engineering

Course Objective

The main objective of this course is to introduce the fundamentals, methods and problems that may be encountered at the design and operation of energy systems and having the ability to model and solve these problems. Teaching about energy systems, energy economics, energy efficiency, energy policy and renewable energy, and about basic principles of modeling and optimization of energy systems are the other objectives of the course.

Learning Outcomes of the Course Unit

1   1. Understanding the importance of the energy management.
2   2. Getting information about energy systems, energy management, renewable energy and the importance of planning activities in energy management.
3   3. Getting information about energy economics, energy efficiency and energy policy.
4   4. Learning the basic principles and methods of modeling and optimization for planning and design of energy systems.
5   5. Learning the basic principles and methods of modeling and optimization for energy production and distribution planning.
6   6. Learning the basics about sustainability and uncertainty issues in energy systems planning.
7   7. Defining the problems of energy systems modeling and optimization, which may be faced at the design and operation phases and developing approaches to solve these problems.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to energy systems and management
2 Energy usage, energy economics and energy efficiency
3 Energy policy in the World and in Türkiye
4 Renewable and alternative energy systems
5 Energy storage and distribution systems
6 Introduction to energy systems planning and design
7 Optimization methods for energy systems planning and design
8 Midterm exam
9 Optimization methods for energy systems operation
10 Sustainability and uncertainty issues in energy systems planning
11 Techniques for modelling sustainable energy systems
12 Methods for energy demand prediction
13 Selected case studies in energy systems planning, design and operation
14 Selected case studies in energy systems planning considering sustainability and uncertainty issues

Recomended or Required Reading

Textbook(s):
1. Bob Everett, Godfrey Boyle, Stephen Peake and Janet Ramage, 2012, Energy Systems and Sustainability, , Oxford University Press, London, UK.
2. F. Carl Knopf, 2012, Modeling, Analysis and Optimization of Process and Energy Systems, Wiley, Newyork, USA.
Supplementary Book(s):
1. Shin ya Obara, 2014, Optimum Design of Renewable Energy Systems, IGI Global, Hershey, USA.
2. Eksioglu, Sandra D., Rebennack, Steffen, Pardalos, Panos, 2015, Handbook of Bioenergy: Bioenergy Supply Chain - Models and Applications, Springer, Newyork, USA.

Planned Learning Activities and Teaching Methods

Instructor notes will be given using blackboard and visual presentations. The course will be further supported by student presentations, class discussions, question-answer and case studies.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Midterm (30%) + Project (20%) + Final Exam (50%)

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Address: Dokuz Eylül University, Department of Industrial Engineering, Tınaztepe Campus, Izmir, Türkiye
E-mail: s.yilmaz@deu.edu.tr
Tel: 0232 301 76 23

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 11 3 33
Tutorials 2 3 6
Preparations before/after weekly lectures 1 14 14
Preparation for midterm exam 5 3 15
Preparation for final exam 10 2 20
Preparing assignments 5 2 10
Preparing presentations 3 1 3
Final 1 1.5
Midterm 1 1.5
TOTAL WORKLOAD (hours) 101

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.144
LO.2544
LO.3544
LO.455434
LO.5554334
LO.6454
LO.755444