Quantitative Energy Economics [ LINMA2415 ]
5.0 crédits ECTS
30.0 h + 22.5 h
2q
Teacher(s) |
Papavasiliou Anthony ;
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Language |
English
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Place of the course |
Louvain-la-Neuve
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Online resources |
> https://icampus.uclouvain.be/claroline/course/index.php?cid=LINMA2415
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Prerequisites |
LINMA1702 (Optimisation methods and models I)
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Main themes |
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Energy market design
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Economics of energy markets
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Operations research applications in energy markets
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Contemporary problems (renewables, demand response, capacity investment and risk management)
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Aims |
In reference to the AA standard, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
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AA1.1, AA1.2, AA1.3
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AA2.2, AA2.5
More specifically, at the end of the course students will be able to:
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Understand the structure and functioning of deregulated energy markets;
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Use mathematical programming models to analyze the energy markets.
Acquired learning:
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implement mathematical programming models in Mosel and/or AMPL that can be used for addressing quantitative problems that arise in energy markets
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critically analyze contemporary energy issues (e.g. renewable energy integration, demand response, capacity investment)
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Evaluation methods |
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Written or oral exam, depending on the size of the class
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Course project and/or homework assignments (to be determined)
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Teaching methods |
2 hours of magistral courses per week, and 2 hours of training sections per week. Homeworks and term projects will be evaluated by the instructor and/or the teaching assistant.
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Content |
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Introduction to energy market modeling
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Electricity markets (unit commitment, transmission constraints, system security and reserves)
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Equilibrium models
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Investment planning
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Smart grid topics (wind / solar power integration, demand response)
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Quantitative methods (KKT conditions, mixed integer linear programming (MILP) models, modeling of risk aversion, stochastic programming)
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Bibliography |
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Course notes
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Printouts from textbooks or archived journals will be provided during lectures. A few textbooks that might be helpful as supporting material: Steven S. Stoft, "Power System Economics" / Daniel S. Kirschen, Goran Strbac, "Power System Economics"
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Other information |
None
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Cycle et année d'étude |
> Master [120] in Mathematical Engineering
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Faculty or entity in charge |
> MAP
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