MAK489 Optimization in Energy SystemsInstitutional InformationDegree Programs Mechatronics EngineeringInformation For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechatronics Engineering

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: MAK489
Course Name: Optimization in Energy Systems
Course Semester: Spring
Course Credits:
ECTS
6
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Area Ellective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi AHMET GÜLTEKİN
Course Lecturer(s): Assist. Prof. Dr. Ahmet Gültekin
Course Assistants:

Course Purpose and Content

Course Objectives: Provide the students with the necessary knowledge and skill to optimization of energy systems for different configurations.
Course Content: Basic concepts of optimization, Methods of optimizing energy systems, Objective function ( thermodynamic, economic, thermoeconomy),Optimization methods, Linear Programming, Non-linear programming, Simplex method, Application of optimization on energy conversion plants

Learning Outcomes

The students who have succeeded in this course;
1) Know the concepts of optimization problem
2) Energy systems can turn their problems into optimization problems
3) Solve optimization problems
4) Can be injured from computer in solving optimization problems

Course Flow Plan

Week Subject Related Preparation
1) Basic concepts of optimization
2) Workable and Optimum Concept
3) Optimization Concept and Objects (Objective Function, Constraint, etc.)
4) One-Dimensional Unconstrained Optimization
5) One-Dimensional Unconstrained Optimization
6) Multi-Dimensional Constrained Optimization
7) Linear and Non-Linear Equation Solutions
8) Midterm 1
9) Optimization in Energy Systems
10) Optimization in Energy Systems
11) Application of energy systems optimization problems
12) Linear Programming
13) 2nd Midterm Exam /Linear Programming and Graphics Solution
14) Economic optimization application on energy conversion systems
15) Final

Sources

Course Notes / Textbooks: “Design Analysis of Thermal Systems”, W.F. Stoecker. ( McGraw Hill,1989)
“Introduction to Optimum Design”, F.S.Arora ( McGraw Hill, 1989)
“Optimization of Chemical Presses”, T.F. Edger (McGraw Hill, 1989)
References: “Design Analysis of Thermal Systems”, W.F. Stoecker. ( McGraw Hill,1989)
“Introduction to Optimum Design”, F.S.Arora ( McGraw Hill, 1989)
“Optimization of Chemical Presses”, T.F. Edger (McGraw Hill, 1989)

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4) Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10) Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11) Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions

Learning Activity and Teaching Methods

Course
Homework
Proje Hazırlama

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Quizzes 2 % 30
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 13 2 26
Study Hours Out of Class 13 3 39
Homework Assignments 2 20 40
Midterms 2 20 40
Final 1 30 30
Total Workload 175