ENERGY SYSTEMS MODELING, ANALYSIS AND SIMULATION

Course Description

This course covers the three main aspects of energy systems engineering; modeling, analysis and simulation. The analysis and modeling involve applications of forecasting, design, economics, and optimization. The course introduces the modeling and analysis concepts and covers preliminary data analysis in energy systems. Forecasting techniques discussed in the course, such as linear and polynomial regression, help the students to predict the performance of the energy systems. The covered optimization techniques instruct the students in configuring the optimum systems (in terms of both finance and performance). The course uses multiple modern simulation tools to model both conventional and renewable energy technologies.

ENERGY SYSTEMS MODELING, ANALYSIS AND SIMULATION

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Express the principles of modeling and simulation.
2. 02 Design and develop models for energy systems.
3. 03 Describe the basic operation principles of energy systems' related softwares.
4. 04 Apply software tools to model and simulate energy systems.

Course Syllabus

Reference Books & Course Materials

1. 01 Reddy, T. Agami, Applied Data Analysis and Modeling for Energy Engineers and Scientists, Springer, 2011.
2. 02 Ranold Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye, Probability & Statistics for Engineers & Scientists, 9th Edition, 2012.
3. 03 Saeed Moaveni, Engineering Fundamentals: An Introduction to Engineering, 4th Edition, Cengage Learning, 2010.
4. 04 H. Lund, Renewable Energy Systems: The Choice and Modeling of 100% Renewable Solutions, Elsevier, 2009.

Learning Outcomes

1. L01 Express the principles of modeling and simulation. SOLO 3
2. L02 Design and develop models for energy systems. SOLO 5
3. L03 Describe the basic operation principles of energy systems' related softwares. SOLO 3
4. L04 Apply software tools to model and simulate energy systems. SOLO 4

Program Outcomes

1. Should be able to write effective reports, understand written reports, and prepare design and production reports.
2. Should have the ability to make effective presentations.
3. Should have the ability to give and have clear and understandable instructions.
4. Should gain consciousness (awareness) about the necessity of lifelong learning.
5. Should have the ability to access information.
6. Should have the ability to follow developments in science and technology and constantly renew himself/herself.
7. Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
8. Should gain knowledge about the standards used in engineering applications.
9. Should gain knowledge about project management, risk management, and change management practices in business life.
10. Should gain awareness about entrepreneurship, and innovation.
11. Should gain knowledge about development in sustainability.
12. Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
13. Awareness should be gained about the legal consequences of engineering solutions.
14. Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
15. Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
16. Should have the ability to detect, define, formulate, and solve complex engineering problems.
17. Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
18. Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
19. Should have the ability to apply modern design methods.
20. Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
21. Should have the ability to use information technologies effectively.
22. Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
23. Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
24. Should have the ability to work in intradisciplinary teams.
25. Should have the ability to work in interdisciplinary teams.
26. Should have the skills to work individually.
27. Should have the ability to communicate effectively verbally and in writing.
28. Should have the knowledge of at least one foreign language.

Po-Lo Matrix