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. P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
2. P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
3. P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
4. P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
5. P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
6. P06 Ability to design creative solutions to complex engineering problems.
7. P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
8. P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
9. P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
10. P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
11. P11 Ability to design experiments for the investigation of complex engineering problems.
12. P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
13. P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
14. P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
15. P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
16. P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
17. P17 Ability to work effectively as an individual.
18. P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
19. P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
20. P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
21. P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
22. P22 Knowledge of professional practices such as project management and economic feasibility analysis.
23. P23 Awareness of entrepreneurship and innovation.
24. P24 Ability for independent and lifelong learning.
25. P25 Ability to adapt to new and emerging technologies.
26. P26 Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix