At the end of this course, the students; 1) Definitions and getting acquaintance with the energy and Thermal Conversion Systems engineering. 2) Ability to relate thermal systems with energy, economy, and environment. 3) Ability to analyse Building HVAC Systems 4) Getting acquainted with renewable energy sources and their importance in decoupling CO2 emissions and sustainable development with green systems like heat pumps, solarand wind energy systems. 5) Widening the knowledge about how to develop optimum hybrid renewable energy applications with varios forms f energy storage. 6) Discussion of limitations for environmental conditions. 7) To explore game-changing applicationswith the Second-Law of Thermodynamics
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
Yes(MAK321)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Systems design concepts. Mathematical modeling. Optimization methods. Steady state simulation of large systems; fans, pumps, heat exchangers, exchangers, expanders, flow in conduits. Dynamic behavior of thermal systems. Computer aided design.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Thermal systems.
2nd Week
Fundamentals of system design.
3rd Week
Fundamentals of mathematical modelling.
4th Week
Matematiksel modelleme uygulamaları
5th Week
Optimization methods.
6th Week
Steady state simulation of large systems
7th Week
Fans and pumps.
8th Week
Heat exchangers.
9th Week
Nozzles and diffusers.
10th Week
Flow in conduits.
11th Week
Dynamic behavior of thermal systems
12th Week
Applications of thermal systems.
13th Week
Fundamentals of computer aided design.
14th Week
Computer aided design applications.
RECOMENDED OR REQUIRED READING
(1) Heating Systems, Plant and Control, Antony R. Day, Martin S. Ratcliffe, Keith Shepherd, Wiley-Blackwell, 2003. (2) Mathematical Modeling and Simulation: Introduction for Scientists and Engineers, Kai Velten, Wiley, 2008. (3) Mathematical Models of Fluid Dynamics: Modelling, Theory, Basic Numerical Facts - An Introduction, 2nd updated edition, Rainer Ansorge, Thomas Sonar, Wiley, 2009.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
30
Assignment
3
30
Total(%)
60
Contribution of In-term Studies to Overall Grade(%)
60
Contribution of Final Examination to Overall Grade(%)
40
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
2
2
Preparation for Quiz
7
,5
3,5
Individual or group work
14
1
14
Preparation for Final exam
14
1
14
Course hours
14
3
42
Preparation for Midterm exam
7
1
7
Laboratory (including preparation)
Final exam
1
2
2
Homework
5
1
5
Project
1
24
24
Quiz
5
,5
2,5
Total Workload
116
Total Workload / 30
3,86
ECTS Credits of the Course
4
LANGUAGE OF INSTRUCTION
English
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
