Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
30.0 h + 22.5 h
Q2
Teacher(s)
de Maere d'Aertrycke Gauthier (compensates Papavasiliou Anthony); Papavasiliou Anthony;
Language
English
Prerequisites
- Fluency in English at the level of course LANGL1330.
- Optimization (linear programming, KKT conditions, duality)
- Microeconomic theory (not necessary but helpful)
Main themes
- Electricity market design
- Modeling of energy markets
- Operations research applications in energy markets
- Contemporary problems (renewable energy integration, demand response integration, capacity investment and risk management)
Aims
At the end of this learning unit, the student is able to : | |
| 1 |
With reference to the AA (Acquis d'Apprentissage) reference, this course contributes to the acquisition of the following learning outcomes:
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The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
- Place of energy system in the economy, energy mix and public objectives of decarbonization : solutions and challenges
- Organisation and modelisation of electricity market : production, transmission, investissement
- Social cost of carbon. Organisation and modelisation of CO2 emission market. Introduction to general equilibrium model.
- Economic : Corporate finance and computation of investment financing . Economic Equilibrium theory (perfect and imperfect competition) Impact of externalities, Risk quantification, coalition theory and stability
- Mathematics: Optimisation/Duality (complementarity conditions), Nash equilibrium, Convex hull
Teaching methods
2 hours lecture per week and 2 hours working exercies. Assignements will be evaluated by the teacher or the teaching assistant.
Evaluation methods
- Written exam | Regular assignments
Other information
None
Online resources
Bibliography
- Impressions de manuels ou articles fournis au cours. Quelques lectures qui pourraient être utiles en tant que support : Steven S. Stoft, "Power System Economics" / Daniel S. Kirschen, Goran Strbac, "Power System Economics"
Faculty or entity
MAP
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Mathematical Engineering
