MA Quantitative Methods in Energy Market Modelling (EMM)5 ECTS
(englische Bezeichnung: MA Quantitative Methods in Energy Market Modelling)
(Prüfungsordnungsmodul: Quantitative methods in energy market modelling)

Lectures:

• • MA Quantitative Methods in Energy Market Modelling
    (Vorlesung mit Übung, 3 SWS, Gregor Zöttl, Mon, 15:00 - 16:30, 16:45 - 18:15, 18:30 - 20:00, FG 0.016 (44 Plätze); single appointment on 25.7.2022, 16:45 - 18:15, 15:00 - 16:30, LG 0.142 (98 Plätze); This is the schedule for Summer Term 2022: 25.04. (L), 02.05. (E), 09.05. (15:00 - 16:30 L, 16:45 - 18:15 E), 16.05. (L), 23.05. (E), 30.05. (L), 13.06. (L), 20.06. (E), 27.06. (L), 04.07. (L), 11.07.22 (L))

Inhalt:

It is the purpose of the course to understand and quantitatively analyse the economic interaction of the players and institutions in liberalized energy markets. Liberalized electricity markets can be segmented in a regulated part (the networks) and the non-regulated parts (generation and retail) where private companies interact in a market environment. The interaction of the different agents is analysed with computational equilibrium frameworks based the concepts applied in industrial organization. Next to the fundamental understanding of the relevant market interaction, the models allow for a quantitative analysis of proposals for the design of energy markets. The participants thus develop the tools for an autonomous assessment of currently discussed policies in liberalized electricity markets (e.g. changed support schemes for renewables, changed network tariff systems, impact of capacity markets).

The course aims at students in the field of economics /business as well as students in the fields of engineering and mathematics. An integral part of the course id formed by homework assignments conducted in groups. The ability to cooperate also beyond the classical limits of each discipline is an important qualification for the students’ careers, which should be stimulated in the context of this course.

Lernziele und Kompetenzen:

The students:

• develop a clear picture of the relevant market participants in liberalized electricity markets and understand their incentives and objectives

• learn fundamental concepts and models which allow to analyze the interaction at those markets

• get to know important publically available data sources which allow for a quantitative analysis of the market situations considered

• know the current challenges when designing those markets and can quantitatively analyze the solutions proposed in the current policy debate.
  

Literatur:

• Daniel Kirschen and Goran Strbac: Power System Economics, Wiley 2004.

• Steven Stoft: Power System Economics, Wiley 2002.

• Wolfgang Ströbele, Wolfgang Pfaffenberger, Michael Heuterkes: Energiewirtschaft, Oldenbourg 2010.
  

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

1. Clean Energy Processes (Master of Science)
   (Po-Vers. 2021w | Gesamtkonto | Specialisation Energy technologies | Elective modules from other specialisation 1-2 | Quantitative methods in energy market modelling)
2. Clean Energy Processes (Master of Science)
   (Po-Vers. 2021w | Gesamtkonto | Specialisation Energy systems | Specialisation modules 1-4 | Quantitative methods in energy market modelling)

Studien-/Prüfungsleistungen:

Quantitative methods in energy market modelling (written examination) (Prüfungsnummer: 25921)

(englischer Titel: Quantitative methods in energy market modelling (written examination))

Prüfungsleistung, Klausur, Dauer (in Minuten): 90, benotet, 4 ECTS

Anteil an der Berechnung der Modulnote: 80.0 %

Prüfungssprache: Englisch

Erstablegung: SS 2022, 1. Wdh.: WS 2022/2023

1. Prüfer:

Gregor Zöttl

Termin: 25.07.2022, 15:00 Uhr, Ort: LG 0.142
Termin: 25.07.2022, 15:00 Uhr, Ort: LG 0.142

Quantitative methods in energy market modelling (written assignment) (Prüfungsnummer: 25922)

(englischer Titel: Quantitative methods in energy market modelling (written assignment))

Prüfungsleistung, schriftlich, benotet, 1 ECTS

Anteil an der Berechnung der Modulnote: 20.0 %

weitere Erläuterungen:
Computational case study, ca. 5-10 Pages.

Prüfungssprache: Englisch

Erstablegung: SS 2022, 1. Wdh.: WS 2022/2023

1. Prüfer:

Gregor Zöttl