Wissenschaftliche Mitarbeiter:innen

M.Sc. Christopher Jahns

Wissenschaftlicher Mitarbeiter

M.Sc. Christopher Jahns

Raum:
R11 T09 C20
Telefon:
+49 201 18-33746
Fax:
+49 201 18-32703
E-Mail:
Adresse:
Lehrstuhl für Energiewirtschaft
Universität Duisburg-Essen, Campus Essen
Fakultät für Wirtschaftswissenschaften
Universitätsstraße 12
45141 Essen

Publikationen:

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  • 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, Jg. 174 (2023) Nr. C. doi:10.1016/j.enpol.2023.113427VolltextBIB DownloadDetails

    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.

  • Dressler, M.; Furtwängler, C.; Görner, K.; Jahns, C.; Liekenbrock, J.; Oeljeklaus, G.; Ostmeier, L.; Weber, C.: Abschlussbericht Pre-Engineering Studie: Das flexible Kraftwerk der Zukunft, Essen 2020. PDFBIB DownloadDetails
  • Jahns, C.; Podewski, C.; Weber, C.: Supply curves for hydro reservoirs – Estimation and usage in large-scale electricity market models. In: Energy Economics, Jg. 87 (2020). doi:10.1016/j.eneco.2020.104696BIB DownloadDetails
  • Beran, P.; Furtwängler, C.; Jahns, C.; Syben, O.; Vogler, A.; Warszawski, M.; Weber, C.: IT-Werkzeuge und -Systeme für die nachhaltige Bewirtschaftung von KWK- und Speichersystemen - Stochastische Optimierung von Multi-Asset-Systemen in NRW (StoOpt.NRW), Aachen, Essen 2019. VolltextBIB DownloadDetails
  • Jahns, C.; Podewski, C.; Weber, C.: Supply Curves for Hydro Reservoirs - Estimation and Usage in Large-Scale Electricity Market Models - Details, 01/2019. Essen 2019. BIB DownloadDetails
  • Baginski, P.; Bellenbaum, J.; Beran, P.; Broll, R.; Felling, T.; Jahns, C.; Osinski, P.; Weber, C.: Mittelfristprognose zur deutschlandweiten Stromerzeugung aus EEG geförderten Kraftwerken für die Kalenderjahre 2019 bis 2023, Essen 2018. VolltextBIB DownloadDetails

Begleitete Abschlussarbeiten:

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  • Probabilistische Modellierung von Einspeisung aus Windenergie in Deutschland mit Hilfe eines GAMLSS (Bachelorarbeit BWL - Energy and Finance, in Bearbeitung) Details

    Bitte klicken Sie auf den nachfolgend Link für weitere Informationen.


    Background and content of the thesis:
    The infeed of intermittent renewable energy sources (RES) increases in the European energy system and subsequently its relevance for several market participants. Predic-tions of RES infeed are used, among others, in energy trading and power plant dis-patch. Particularly rare events of low RES infeed are significant in analyses on security of supply, due to the high share of RES infeed in the total power generation. Security of supply and generation adequacy specifically is assessed in probabilistic approaches with simulation models, that generate many realizations of energy system uncertain-ties such as RES infeed. In a simulation model, distributional models, such as general-ized additive models for location and shape (GAMLSS), are a promising approach to estimate non-parametric distributions of RES-infeed.
    This master thesis aims to develop, implement, and evaluate a distributional model to estimate the distribution of onshore wind infeed in Germany, incorporating relevant exogenous factors. The focus of this work will be on parameterizing the distributional model, involving extensive data preparation and exploration. Subsequently, a case study will be conducted, simulating the onshore wind infeed using a simulation model based on the estimated distribution.
    For more on GAMLSS see: Stasinopoulos, M. D., Rigby, R. A., Heller, G. Z., Vou-douris, V., & De Bastiani, F. (2017). Flexible regression and smoothing: using GAMLSS in R. CRC Press.

    Requirements:
    Interest in econometrics and data science, preferably previous knowledge in program-ming with R


    Contact person:
    Further information are available on request by Maike Spilger. Tel.: +49 201-183-6713, maike.spilger@uni-due.de
    If your interested, please send your application documents (curriculum vitae, tran-script of records, letter of motivation) to the email address mentioned above.

  • Optimierung der Vermarktungsentscheidung von Aggregatoren batterieelektrischer Fahrzeuge unter Unsicherheit (Masterarbeit Wirtschaftsingenieurswesen, in Bearbeitung)
  • Redispatch in Deutschland - Analytischer Vergleich von kosten- und marktbasiertem Redispatch und die mögliche Einführung eines hybriden Modells. (Masterarbeit Betriebswirtschaftslehre, 2024)
  • Produktion grüner Wasserstoff On-Grid vs. Off-Grid (Bachelorarbeit Betriebswirtschaftslehre, 2023)
  • Pathways for natural gas markets and corresponding pricing mechanisms in China (Bachelorarbeit BWL - Energy and Finance, 2023)
  • Die Digitalisierung der Energieübertragungsnetze und ihre Auswirkungen auf Prozess- und Produktinnovationen in der Energiewirtschaft (Bachelorarbeit Betriebswirtschaftslehre, 2020)
  • Analyse des Effizienzvergleichs der Bundesnetzagentur für Verteilnetzbetreiber im deutschem Gasnetz (Bachelorarbeit Volkswirtschaftslehre)
  • Die Digitalisierung und ihre Auswirkung auf Geschäftsmodelle kommunaler Energieversorger (Bachelorarbeit Betriebswirtschaftslehre)
  • (Masterarbeit Wirtschaftsingenieurswesen)
  • Faire Preisfindung bei der langfristigen Vermarktung von Erneuerbaren Energien (Masterarbeit Wirtschaftsingenieurswesen)