Course - Energy Markets - IØ8303
IØ8303 - Energy Markets
About
Examination arrangement
Examination arrangement: Assignment and Oral examination
Grade: Letters
Term:
Autumn, Spring
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Oppgave | ||||
Muntlig eksamen |
Examination arrangement
Examination arrangement: Oral examination
Grade: Letters
Term:
Autumn, Spring
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Oral examination | 100/100 |
Examination arrangement
Examination arrangement: Assignment
Grade: Letters
Term:
Autumn
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Oppgave | 100/100 |
Course content
The course discusses different models for analysis of energy markets and how energy companies adjust to these. Emphasis is put on the relationship between technical and economic features in natural gas and electricity markets. The course focuses on how market-driven optimization of the value chains and production resources of energy companies can be modelled and how energy markets work and form prices. Uncertainty in market prices and resource availability is handled with a basis in financial theory and in methods of operations research.
Learning outcome
Position and function in the PhD program:
The course is meant for PhD students in management science, broadly defined. We assume that students have a foundation in selected areas of finance and optimization, comparable to a Master of Science in Industrial Economics and Technology Management. Specifically we build on courses having subjects such as optimization under uncertainty, equilibrium models (microeconomics) and real options analysis. The course audience is PhD students having an interest in computational equilibrium models, energy and environment in the interface between energy economics and technical systems analysis, and investment under uncertainty. The course is given every second year. It will give the students in-depth knowledge and a competence foundation making them able to participate in research processes so they can develop new knowledge within the area.
After following this course the student should:
- have knowledge about regulation and market mechanisms in electricity and gas markets.
- have knowledge about theory of investment under uncertainty in energy projects.
- be able to model advanced energy systems and markets and use these models for analysis.
- be able to discuss advanced features of energy market design.
- be able to model and discuss the links between markets and the physical characteristica of underlying technologies.
Learning methods and activities
Lectures, seminars, project work and excursions.
Recommended previous knowledge
TIØ4117 Microeconomics, TIØ4126 Optimization and Decision Support for Industrial Business Planning, and TIØ4145 Corporate Finance.
Course materials
Scientific articles and selected literature. Given at course start-up.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
IØ8810 | 2.5 | ||
TIØ4556 | 5.0 | ||
TIØ4557 | 5.0 |
No
Version: 1
Credits:
10.0 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2017
Language of instruction: English
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- Business Economics
- Managerial Economics, Finance and Operations Research
- Finance and Managerial Economics
- Business Econimics and Management
- Industrial Economics and Technology Management
- Technological subjects
Department with academic responsibility
Department of Industrial Economics and Technology Management
Examination
Examination arrangement: Assignment and Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Muntlig eksamen
-
Room Building Number of candidates - Autumn ORD Oppgave
-
Room Building Number of candidates - Spring ORD Muntlig eksamen
-
Room Building Number of candidates - Spring ORD Oppgave
-
Room Building Number of candidates
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral examination 100/100
-
Room Building Number of candidates - Spring ORD Oral examination 100/100
-
Room Building Number of candidates
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oppgave 100/100
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"