course-details-portlet

IØ8303 - Energy Markets

About

Examination arrangement

Examination arrangement: Assignment and Oral examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Oppgave
Muntlig eksamen

Examination arrangement

Examination arrangement: Oral examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Muntlig eksamen 100/100

Examination arrangement

Examination arrangement: Assignment
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
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.

Course materials

Scientific articles and selected literature. Given at course start-up.

Credit reductions

Course code Reduction From To
IØ8810 2.5 01.09.2017
TIØ4556 5.0 01.09.2017
TIØ4557 5.0 01.09.2017
More on the course

No

Facts

Version: 1
Credits:  10.0 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2017

Language of instruction: English

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Subject area(s)
  • Business Economics
  • Managerial Economics, Finance and Operations Research
  • Finance and Managerial Economics
  • Business Econimics and Management
  • Industrial Economics and Technology Management
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Industrial Economics and Technology Management

Phone:

Examination

Examination arrangement: Assignment and Oral examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam 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 form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Muntlig eksamen 100/100
Room Building Number of candidates
Spring ORD Muntlig eksamen 100/100
Room Building Number of candidates

Examination arrangement: Assignment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam 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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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