UNIK9820 – Energy systems analysis: Modelling, methods and scenarios

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. 

Admission

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.

Prerequisites

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: