Dissecting Renewable Energy Research: Replicating Outcomes in Energy Economics
Veranstaltungstyp: Seminar (Lehre)
Ort: nicht angegeben
Semester: SoSe 2024
Zeiten: Termine am Freitag, 12.04.2024, Freitag, 19.04.2024 10:00 - 12:00, Freitag, 21.06.2024 08:00 - 17:00
Erster Termin: Freitag, 12.04.2024 10:00 - 12:00
Veranstaltungsnummer: 801980
Voraussetzungen: Previous Knowledge, Credits and Work Load Previous knowledge in R, Python or Stata is favorable, as we do not provide an additional introduction into programming. It is possible to participate without prior knowledge in programming if there is interest in the topic and willingness to self-study in statistical programming. Furthermore, an interest in data analysis and energy economics or the willingness to develop this interest is an advantage. The scope of work includes participation in seminar sessions, group discussions and the preparation and presentation of a seminar paper. Modul Credits: 6 Work load (graded): Seminar paper, Presentation
Leistungsnachweis: Proof of Performance * Completion of a seminar paper (12 pages, +/- 10%; in groups of max. 2 persons) in English. * Presentation of one's own topic/chapter within the group. * Participation in the seminar and contribution to the discussions. Formalities of the Examinations Seminar Paper and Formalia * 12 pages (+/- 10%) * Margins: 3 cm left, 2 cm right, 2 cm top and bottom * Line spacing: 1.5 * Font size: 12 point for Times New Roman, 11 point for Arial * Hyphenation * Justified alignment Presentation (Group Presentation) * 15 minutes per person (each group has a total presentation time of 30 minutes) + discussion * Content of the presentation →Ab hier automatisch erfasste Informationen / Beyond this point, the information is filled in automatically← Prüfungsleistung(en) je Modul / Exam details per module: * [(M.WIWI-VWL.0026.Mp) Seminar zu aktuellen Fragen der Institutionenökonomik][1] * Andere Prüfungsform: Fr, 14.06.2024, von 00:00:00 bis 23:59:00 * [(M.WIWI-VWL.0036.Mp) Seminar zu aktuellen Fragen der Wirtschaftspolitik][2] * Andere Prüfungsform: Fr, 14.06.2024, von 00:00:00 bis 23:59:00 * [(M.WIWI-VWL.0164.Mp) Seminar zu aktuellen Fragestellungen der Mittelstands- und Regionalökonomik][3] * Abgabe Hausarbeit: Fr, 14.06.2024, von 00:00:00 bis 23:59:00 [1]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=34010&periodId=272 [2]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=34013&periodId=272 [3]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=43360&periodId=272
Sonstiges: Course Content

Our Master's seminar offers an opportunity to delve deeply into the realm of renewable energies and current challenges in energy transition. We focus on analyzing and critiquing the research paper of Odenweller et al. (2022) that deals with predicting energy capacities based on past growth rates. Through the practical application of the utilized concepts in the paper, students will be empowered to understand and evaluate complex interrelations among energy production, market mechanisms, sustainability, and technological development.

The course content includes an introduction to the fundamentals of renewable energies and their significance for future energy supply. We will explore methods for predicting energy capacities based on growth rates and other relevant parameters.

The aims of the course are:
* Understanding the complexity of predicting renewable energy capacities through the analysis of current research literature and available data.
* Ability to critically reflect on and discuss methodological approaches, data quality, and findings of research papers.
* Development of skills in applying prediction models to real data sets and interpreting results.
* Promotion of interdisciplinary thinking through examination of technological, economic, and ecological aspects of renewable energies.



Literatur
Odenweller, A., Ueckerdt, F., Nemet, G. F., Jensterle, M., & Luderer, G. (2022). Probabilistic feasibility space of scaling up green hydrogen supply. Nature Energy, 7(9), 854-865
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Wirtschaftspolitik und Mittelstandsforschung
In Stud.IP angemeldete Teilnehmer: 12
Anzahl der Postings im Stud.IP-Forum: 2
Anzahl der Dokumente im Stud.IP-Downloadbereich: 12
Link zu Stud.IP