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Syllabus

TN0373 System analysis with energy applications, 5.0 Credits

Systemanalys med energitillämpningar

Subjects

Technology

Education cycle

Bachelor’s level

Advanced study in the main field

First cycle, has less than 60 credits in first-cycle course/s as entry requirements
Bachelor’s level (G1F)

Grading scale

Language

Swedish

Prior knowledge

50 credits natural science and/or technology, including 2 credits programming and 1 credits statistics

Objectives

The course is aimed at providing an understanding of the basis for systems analysis, with applications for various sustainable energy systems. In particular, the student will learn how different types of energy systems and processes can be analysed and modeled using system analytical tools. The course is based on previous program courses in mathematics and statistics, as well as computational science and serves as a basis for later courses such as energy systems planning and empirical modeling, applying system analysis in energy related contexts.

After completing the course, the student should be able to:

• indicate and explain basic ideas, concepts and methods in system analysis
• outline how a system analytical project is implemented
• clarify the problem of system identification and the scope of limitation, the validity of models and how they can be validated,
• account for different types of model and simulation tools for complex systems, especially those relating to energy and society,
• Perform computer simulations of the models with current simulation programs, and analyze the results with relevant statistical methods,
• use system analytical methods for problem solving in energy contexts, and
• implement model adaptation, sensitivity analysis and optimisation of energy systems for a sustainable development.

Content

System analysis involves mathematical/statistical analysis and modeling of complex systems, with the aim of understanding, optimising and predicting system characteristics and behavior under different conditions. Stability, sensitivity and resilience are treated as well as chaotic and stochastic processes. Depending on the nature of the problem, well-defined systems can be described using different types of models: e.g. static/dynamic, deterministic/stochastic, local/global, and combinations of these. Current issues related to energy are dealt with and described from a systems perspective, discussing alternative solutions, as well as how the system/model is influenced by different factors. System analysis also includes issues and methods related to theory of science.

The theory is given in the form of lectures. Part of the course consists of computer exercises and projects during which the students build, simulate, analyse and validate models of different types. Emphasis is placed on the student’s understanding of the connection between structure and behavior of a system. General techniques such as model adaptation, sensitivity analysis and optimisation are treated and practiced in the computer exercises. Particular focus is placed on energy systems for a sustainable development.

Grading form

The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.

Formats and requirements for examination

Approved examination, approved oral and written examination of project work and approved written presentation of computer exercises.

• If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.

• The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.

• If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.

• For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.

Other information

• The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.

• If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.

Additional information

- The requirement for statistics can be fulfilled through the course Basic Mathematical Statistics, 5 credits (MS0073)

Responsible department

Department of Energy and Technology