COURSE UNIT TITLE

: MODELLING AND OPTIMIZATION OF ENERGY SYSTEMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 5049 MODELLING AND OPTIMIZATION OF ENERGY SYSTEMS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

INDUSTRIAL ENGINEERING - NON THESIS
Industrial Engineering - Thesis (Evening Program)
INDUSTRIAL ENGINEERING
INDUSTRIAL ENGINEERING
INDUSTRIAL ENGINEERING - NON THESIS (EVENING PROGRAM)

Course Objective

In recent decades, due to the significant increase in industrial and technological developments the need for energy is highly increased. To effectively meet the increased energy demand, efficient and productive systems and supply chains should be established. In addition, energy production systems should be designed and managed considering the three pillars of sustainability, economic, environmental and social. Developing and employing efficient optimization procedures has a vital role in sustainable design and management of energy systems. The primary aim of this course is to teach the industrial engineering and operations research techniques to optimize, design and manage energy systems effectively and in a sustainable manner. To this aim, statistical methods, multi objective decision making and mathematical modelling methods will be introduced to handle multiple objectives and uncertainties in tandem in design and management of energy systems.

Learning Outcomes of the Course Unit

1   To make the students aware of the importance of energy systems and the main problems in energy systems design and management
2   To develop the students' analytical capabilities to analyze an energy system and supply chain from a system point of view and separate into their elements
3   To develop the students' analytical capabilities in solving the energy systems optimization problems by capturing different sustainability aspects
4   To develop the students' analytical capabilities in solving the energy systems optimization problems by capturing problem specific uncertainties
5   To make the students develop and employ integrated optimization methodologies for design and management of sustainable energy systems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to renewable energy systems and energy management
2 Introduction to renewable energy systems and energy management
3 Introduction to renewable energy systems and energy management
4 Sustainability issues in renewable energy systems design and management
5 Basics of decision making in design and management of renewable energy systems
6 Multi objective and multi criteria decision making in renewable energy systems design and management
7 Modelling and optimization approaches in renewable energy systems design and management
8 Modelling and optimization approaches in renewable energy systems design and management
9 Midterm
10 Uncertainty issues in renewable energy systems design and management and methods for handling uncertainty
11 Integrated approaches to handle sustainability and uncertainty in renewable energy systems optimization, design and management
12 Integrated approaches to handle sustainability and uncertainty in renewable energy systems optimization, design and management

Recomended or Required Reading

Bob Everett, Godfrey Boyle, Stephen Peake and Janet Ramage, 2012, Energy Systems and Sustainability, , Oxford University Press, London, UK.
F. Carl Knopf, 2012, Modeling, Analysis and Optimization of Process and Energy Systems, Wiley, Newyork, USA.
Shin ya Obara, 2014, Optimum Design of Renewable Energy Systems, IGI Global, Hershey, USA.
Şebnem Yılmaz Balaman, 2018, Decision Making for Biomass Based Production Chains; The Basic Concepts and Methodologies, Academic Impress, Elsevier, UK.
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

Course notes given by visual presentations and on board, in-class activities, discussions of journal articles , project presentations

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


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm exam (30%) + Projects (20%) + Final exam (50%)

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Asst. Prof. Dr. Şebnem YILMAZ BALAMAN s.yilmaz@deu.edu.tr

Office Hours

To be declared

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 14 7 98
Preparation for midterm exam 1 17 17
Preparation for final exam 1 25 25
Preparing presentations 1 20 20
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 203

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1545
LO.25455
LO.35445
LO.4445
LO.54545

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS