UNIK9820 – Energy systems analysis: Modelling, methods and scenarios

Schedule, syllabus and examination date

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Course content

The course provides a comprehensive overview in the field of energy system modelling; a fundamental discipline for being able to perform complete analyses of the connection between energy, economy, and environmental effects. Energy-economic modelling is a cornerstone of the public energy policy process, as well as providing valuable information for making investment decisions for private energy firms. 


Learning outcome

This course aims to give students the foundation to:

  • Develop consistent energy and climate scenarios
  • Develop and prepare energy service demand projections for various end use sectors based on activity, indicators, and historical energy use
  • Utilise 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
  • Develop and use energy system models in order to analyse various energy and climate scenarios

The students will also acquire knowledge regarding:

  • Acknowledged international energy and climate scenarios
  • Global and national energy and climate policies

PhD candidates must in addition develop an energy system model (by using e.g. TIMES, GAMS or MATLAB), and use it for analysing various, relevant scenarios. The work must also be presented for the other students. 


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 those obtained in the Bachelor's Degree Program within Mathematics, Natural Sciences, Technology.

In addition it is an advantage if the student has completed one (or more) of the following courses:


Per week: 3 hours lecture. The course includes 3 minor assignments where at least 2 must be approved in order to take the exam. 

: PhD candidates must in addition complete a project work (counts towards 30% of the final grade).


PhD candidates must complete a project work in addition to the final exam. The project work counts 30% of the final grade for PhD candidates, while the final, oral examination in the end of the semester counts for 70%.

In the case of many candidates, a written examination can be held instead. 2 assignments must be approved in order to take the exam. 

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.

Explanations and appeals

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.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Facts about this course






Every spring


Every spring

Teaching language

Norwegian (English on request)