TEK9340 – Energy Systems Analysis: Modelling, Methods and Scenarios
Course description
Schedule, syllabus and examination date
Course content
The course provides a comprehensive overview of energy system analysis, a discipline that gives insights on how energy systems can be designed and operated to cover future energy needs in a cost-effective and sustainable manner. The course gives knowledge on the interaction between energy production, infrastructure, storage, energy use and emissions, and how this can be modelled. Analyses with energy system models are used as decision support related to the low-carbon transition by both authorities and private energy companies.
Learning outcome
After completing this course, you will be able to
- perform investment analyses for various technologies
- identify energy system pathways to meet climate targets
- develop consistent energy and climate scenarios
- utilize knowledge from various disciplines (mathematical programming, economy, physics and energy resources, energy technologies, etc.) in order to perform techno-economic analyses of sustainable energy systems
- design and apply optimization models of energy systems that take uncertainty into account
You will also acquire knowledge regarding
- acknowledged international energy and climate scenarios
- scenario planning
- the Norwegian energy system
PhD candidates must in addition develop an energy system model, by using e.g. TIMES, GAMS or MATLAB, and use it for analyzing various, relevant scenarios. The work must also be presented for the other students.
Admission to the course
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.
Recommended previous knowledge
The course builds on previous knowledge corresponding to the knowledge obtained in the bachelor's programme Matematikk med informatikk (bachelor) (continued).
In addition it is an advantage if you have completed one (or more) of the following courses:
- FYS3320 – Physics and energy resources (discontinued)
- MAT-INF3100 – Linear Optimization (continued)
- TEK5300 – Renewable Energy: Science and Technology
Overlapping courses
- 10 credits overlap with TEK5340 – Energy Systems Analysis: Modelling, Methods and Scenarios.
- 10 credits overlap with UNIK4820 – Energy systems analysis: Modelling, methods and scenarios (continued).
- 10 credits overlap with UNIK9820 – Energy systems analysis: Modelling, methods and scenarios (continued).
Teaching
3 hours of teaching per week.
The course includes 3 minor assignments, where at least 2 must be approved before you sit the exam.
PhD candidates must in addition complete a project work which counts 30% towards the final grade.
The course lectures are given at the Department of Technology Systems in Kjeller Research Park. See the schedule for the student bus from Campus Blindern.
Examination
- PhD candidates must complete a project work in addition to the final exam.
- The project work counts 30% towards the final grade, while the final, oral examination counts 70% towards the final grade.
- In the case of many candidates, a written examination can be held instead.
- 2 assignments must be approved before you can sit the exam.
It will also be counted as 1 of the 3 attempts to sit the exam for this course, if you sit the exam for one of the following courses:
- TEK5340 – Energy Systems Analysis: Modelling, Methods and Scenarios
- UNIK4820 – Energy systems analysis: Modelling, methods and scenarios (continued)
- UNIK9820 – Energy systems analysis: Modelling, methods and scenarios (continued)
Examination support material
No examination support material is allowed.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass, the original examination.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.