Personen

Dr. Benedikt Finnah

Wissenschaftlicher Mitarbeiter

Dr. Benedikt Finnah

Raum:
LC 015
Telefon:
+49 203 37-93679
E-Mail:
Sprechstunde:
Nach Vereinbarung
Adresse:
Universität Duisburg-Essen
Mercartor School of Management
Lehrstuhl für Betriebswirtschaftslehre, insbesondere Service Operations
Lotharstraße 65
47057 Duisburg

Lebenslauf:

seit 01/2016:

Wissenschaftlicher Mitarbeiter am Lehrstuhl für Betriebswirtschaftslehre, insb. Service Operations

04/2014 - 01/2016:

Master-Studium der Mathematik an der FernUniversität Hagen:

Master of Science mit der Vertiefung Numerische Mathematik und Analysis

Thema der Masterarbeit:

Lineare Tschebyscheff-Approximation auf diskreten Mengen

09/2010 - 02/2014:

Bachelor-Studium der angewandten Mathematik an der Fachhochschule Bielefeld:

Bachelor of Science

Thema der Bachelorarbeit:

Quaternionen und hyperkomplexe Zahlensysteme zur Darstellung von Drehungen

09/2013 - 12/2013:

Praktikum bei Minda Industrieanlagen GmbH in Minden
Bereich: Softwareentwicklung

Publikationen:

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  • Finnah, B.; Gönsch, J.: Backwards Approximate Dynamic Programming for Wind Power Plants with Hybrid Energy Storage Systems. In: International Journal of Production Economics (2021). doi:10.1016/j.ijpe.2021.108155 PDF Volltext BIB Download Details

    On most modern energy markets, electricity is traded in advance and a power producer has to commit to deliver a certain amount of electricity some time before the actual delivery. This is especially difficult for power producers with renewable energy sources that are stochastic (like wind and solar). Thus, short term electricity storages like batteries are used to increase flexibility.
    By contrast, long term storages allow to exploit price fluctuations over time, but have a comparably bad efficiency over short periods of time.
    In this paper, we consider the decision problem of a power producer who sells electricity from wind turbines on the continuous intraday market and possesses two storage devices: a battery and a hydrogen based storage system. The problem is solved with a backwards approximate dynamic programming algorithm with optimal computing budget allocation. Numerical results show the algorithm’s high solution quality. Furthermore, tests on real-world data demonstrate the value of using both storage types and investigate the effect of the storage parameters on profit.

  • Finnah, Benedikt: Essays on Renewable Energies, Energy Storages and Energy Trading (1). 2020. BIB Download Details
  • Finnah, Benedikt: Optimal bidding functions for renewable energies in sequential electricity markets. In: OR Spectrum . doi:10.1007/s00291-021-00646-9 Volltext BIB Download Details

Vorträge:

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  • Jochen Gönsch, Benedikt Finnah: Approximative Dynamische Optimierung zur Steuerung von Energiespeichern - Workshop MaXFab 2020, , 10.12.2020, Online. Details
  • Finnah, Benedikt; Gönsch, Jochen; Ziel, Florian: Integrated day-ahead and intraday self-schedule bidding for energy storages using approximate dynamic programming, Workshop der GOR-Arbeitsguppe "OR im Umweltschutz", 08.10.2020, Online. Details
  • Finnah, Benedikt: Gebotskurven für erneuerbare Energien an den spanischen Strommärkten, Intensiv-Workshop Operations Research 2019, 08.10.2019, Würzburg. Details
  • Finnah, Benedikt; Gönsch, Jochen; Ziel, Florian: Integrated day-ahead and intraday self-schedule bidding for energy storages using approximate dynamic programming, OR 2019, 05.09.2019, Dresden. Details
  • Finnah, Benedikt: Approximate dynamic programming for energy storages in the continuous intraday market, Workshop on Intraday Electricity Markets, 02.04.2019, Cambridge. Details
  • Finnah, Benedikt: Optimale Betriebsführung von Pumpspeicherkraftwerken an den deutschen Strommärkten, 4. Pricing-Workshop, 06.12.2018, Obergurgl. Details
  • Benedikt Finnah, Jochen Gönsch: Backwards approximate dynamic programming for wind power plants with hybrid energy storage systems, OR 2018, 13.09.2018, Brüssel. Details
  • Benedikt Finnah, Jochen Gönsch: Optimal control of a wind power plant with a hybrid energy storage system, Intensiv-Workshop Operations Research 2017, 04.10.2017, Würzburg. Details
  • Benedikt Finnah, Jochen Gönsch: Optimal control of a wind power plant with a hybrid energy storage system, BKM Doctoral Workshop 2017, 25.07.2017, Duisburg. Details
  • Benedikt Finnah, Jochen Gönsch: Optimale Betriebsführung von Windenergieanlagen mit hybriden Energiespeichersystemen, 27. Workshop der Quantitativen Betriebswirtschaftslehre, 13.03.2017, Sylt. Details