TEK9410 ¨C Energy Markets and Regulation - Electricity System Modelling and Analysis

Course content

There is a wide-spread consensus on the urgency to achieve the headline goal of the Paris Agreement of keeping global warming to well below 2?C and in so doing avoid dangerous climate change. This requires a rapid decarbonisation of the energy system, which, as has been shown by modelling-based research, can be achieved by electrified and interconnected systems with a high share of variable renewable energy sources (VREs) (i.e. wind and solar) providing up to 100% of the total electricity output. ?In such electrified systems with high shares of VREs, weather and climate have an important and growing influence on the supply and demand of energy in Europe, from solar and wind generation to heating and cooling demands.

Electricity system models are used to advise policy makers and planners on how to design such highly renewable electricity systems.

In this course students will learn how to code their own electricity system model in GAMS so as to answer questions related to electricity markets and systems. We will start with a simple model and over the course add complexity via more constraints and technologies such as electricity storage.? Developing models requires preparing input data as well as making assumptions; students will learn to understand what data is required, where to find it, how to prepare it using Python, and how to use the data in their models. Students will learn how to run the models and interpret results. The course will focus on future systems with high shares of variable renewable energy sources within a European context.

Learning outcome

After completing this course, you

• know the basics of linear programing
• are able to define research questions on electricity system and market problems and to build model formulations to answer them
• are able to collect and prepare input data using Python
• are able to build your own electricity system model in GAMS and conduct the analysis
• are able to interpret model results
• are able to describe your modelling approach and results including shortcomings
• can read and critically analyze state-of-the-art literature based on electricity models
• are able to write a research report and present it to a specialized audience
• can relate and apply the knowledge gained in this course?to?improve your?own?PhD research.

Admission to the course

PhD candidates from the University of Oslo should apply for classes and register for examinations through?Studentweb.

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