Academic Staff

M.Sc. Tobias Stein

Academic Staff

M.Sc. Tobias Stein

Room:
R11 T07 C23
Phone:
+49 201 18-36706
Fax:
+49 201 18-32703
Email:
Consultation Hour:
by arrangement
Address:
Lehrstuhl für Energiewirtschaft
Universität Duisburg-Essen, Campus Essen
Fakultät für Wirtschaftswissenschaften
Universitätsstraße 12
45141 Essen

Curriculum Vitae:

since 12/2019
University Duisburg Essen
Academic Staff at the Chair for Management Science and Energy Economics

2016 - 2019 University Duisburg Essen
Master of Sciene in Economics
 

2012 - 2016 Heinrich-Heine-Universität Düsseldorf
Bachelor of Sciene in Economics
 

Practical experince
2019: 
Masterthesis at innogy SE - Bereich „Regulation Management“
2018 - 2019: Research Assiatan at the Chair for Management Science and Energy Economics
2015 - 2016: Working student at E.ON Energie Kundenservice GmbH - Bereich "Systems and Projects"
2014 - 2015: Working student at E.ON Energie Deutschland GmbH - Bereich "Offer process"

Publications:

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  • Stein, Tobias; Sieger, Lisa; Weber, Christoph: Disentangling Small-Scale Solar Photovoltaic Adoption: A Spatial Analysis of Decision Factors and Localized Interactions in Germany, 06/2023. Essen 2023. 10.2139/ssrn.4605917) CitationDetails
  • Jahns, Christopher; Stein, Tobias; Höckner, Jonas; Weber, Christoph: Prevention of strategic behaviour in local flexibility markets using market monitoring – Concept, application example and limitations. In: Energy Policy, Vol 174 (2023) No C. doi:10.1016/j.enpol.2023.113427Full textCitationDetails

    Market-based congestion management has been proposed as a more efficient means of coping with congestion issues in zonal market designs. However, strategic behaviour has been identified as a fundamental problem of market-based approaches. This paper focuses on strategic behaviour in the setting of a local flexibility market. In this type of market, trading occurs in parallel with the intraday market and flexibility is verified by reporting baselines through a verification platform. Under these conditions, market monitoring based on statistical tests is presented as a countermeasure. By implementing tests that are robust against autocorrelation and based on the illustrative example, it is shown that the identification of strategic behaviour is possible. In combination with appropriate regulatory sanctioning, strategic behaviour can become less attractive and, in the best case, be prevented leading to a reduction in congestion management costs. The simplified example presented in this paper can serve as a basis for more complex use cases where additional factors need to be considered.

Tutored Theses:

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  • Eine modellgestützte Analyse zur Wirtschaftlichkeit dynamischer Stromtarife aus Sicht eines Prosumers (Master Thesis Business Administration - Energy and Finance, in progress)
  • Photovoltaikanlagen auf Mehrfamilienhäusern - Eine Analyse von Chancen und Limitationen aus der Eigentümerperspektive unter Berücksichtigung der rechtlichen Rahmenbedingungen in Deutschland (Bachelor Thesis Business Administration, 2023)
  • Modellgestützte Analyse langfristiger Perspektiven von Wasserstoffelektrolyse in Deutschland unter Berücksichtigung techno-ökonomischer und regulatorischer Aspekte (Master Thesis Business Administration - Energy and Finance, 2022)
  • Analyse des Einflusses regulatorischer Rahmenbedingungen auf die Wirtschaftlichkeit von Kraft-Wärme-Kopplungs-Anlagen (Master Thesis Business Administration - Energy and Finance, 2022)
  • Optimierung der Ersatzwertbildung in der Energiewirtschaft durch Einsatz von Machine Learning Algorithmen (Master Thesis Business Administration - Energy and Finance, 2021)
  • Eine Analyse der Relevanz von energiewirtschaftlichen Themen im bundesdeutschen Wahlkampf 2021 (Bachelor Thesis Business Administration, 2021)
  • Analyse von Bewertungskriterien und Bewertungsmethodiken in Strom- und Gaskonzessionsverfahren gem. § 46 EnWG im Hinblick auf die geforderte Diskriminierungsfreiheit und Transparenz der Vergabeentscheidung. (Bachelor Thesis Business Administration, 2020)
  • Räumlich-statistische Analyse der Verteilung von kleinen Aufdach-Photovoltaikanlagen in Deutschland zwischen 2004 und 2019 (Bachelor Thesis Business Administration, 2020)