Electricity economics and modelling

Computer-based methods are ubiquitous in energy policy making and policy advise. Practically all impact assessments of EU energy policies build strongly on computer models of the energy system, the Clean Energy Package being a recent example. The same is true for national and state-level policy-making. Policies ranging from grid expansion to renewable portfolio standard and electricity market design are designed and evaluated based on electricity system models. Understanding such modelling techniques is a critical skill for energy policy makers and their advisers, probably more so than statistics.

The aim of this course it to provide advanced knowledge of the electricity market, governance and policy as well as electricity system modelling. The goal of the course is not to train students as electricity system modellers, but rather to make them qualified readers of model-based policy impact assessments.

Students will be introduced to a number of recent energy policy and electricity market debates, such as: system-friendly wind and solar energy; interactions between the heat and the electricity sector; the drop in wholesale electricity prices and the utility crisis; investment incentives and capacity markets; energy trading; system integration of renewable energy; e-mobility.

This course is for 2nd year MIA and MPP students only.


  • Lion Hirth , Assistant Professor of Governance of Digitalisation and Energy Policy