Departments' graduate courses

Course start and periodicity may vary. Please see details for each course for up-to-date information. The courses are managed and administered by the respective departments. For more information about the courses, how to sign up, and other practical issues, please contact the examiner or course contact to be found in the course information.

Energy systems modelling - from industrial to global scale

  • Course code: FENM110
  • Course higher education credits: 7.5
  • Graduate school: Energy and Environment
  • Course start: 2020-09-01
  • Course end: 2020-12-31
  • Course is normally given: Every third year
  • Language: The course will be given in English
  • Nordic Five Tech (N5T): This course is free for PhD students from N5T universities
Course description

The purpose of the course is to provide doctoral students with the basic insights and knowledge
needed to formulate models of common energy system problems, implement these in energy system modelling tools, and analyze, validate and interpret the results. The course will consist of lectures, seminars and project assignments; emphasis is put on the assignments to train the students to work with energy system analysis by creating simple, transparent, mathematical representations of energy system problems on their own.

The course is focused on optimization models and the stationary energy system, yet, insights and methods gained by the students should be general, and thus, applicable to other fields and sectors of the energy system.

After completion of the course the student should be able to:

•    Formulate and set up basic energy system models
o    Suggest type of formulation for specific problems
o    Select objective function to match problem and goal
o    Reflect on requirements in level of detail (e.g. temporal and geographical scope)

•    Analyze, interpret and validate model results
o    Reflect on influence of system boundaries in analysis
o    Assess and/or estimate the effects of simplifications/assumptions made
o    Distinguish between specific and general results
o    Based on the above, reflect on the robustness of results

•    Know the main differences between different energy system modelling approaches
o    Define and characterize optimization and simulation type of models and their differences
o    Describe basic energy systems modelling terminology
•    Apply basic optimization methods on problems similar to the assignments

The course is divided into six blocks (two days each except for last occasion) including lectures,
seminars and presentation/discussion of assignments. Between each block the students will work on an assignment, which is presented and discussed during the following block.

Peer-reviewed journal papers that will be announced upon course start.

Mikael Odenberger, Energy Technology Lisa Göransson, Energy Technology Fredrik Hedenus, Physical Resource Theory Niclas Mathsson, Physical Resource Theory Sonia Yeh, Physical Resource Theory Examiner Mikael Odenberger Fredrik Hedenus
More information
Mikael Odenberger,

Published: Tue 22 Aug 2017.