Auflistung nach Autor:in "Staudt, Philipp"
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- ZeitschriftenartikelCall for Papers, Issue 3/2021(Business & Information Systems Engineering: Vol. 61, No. 6, 2019) Staudt, Philipp; Lehnhoff, Sebastian; Watson, Richard
- ZeitschriftenartikelChanging the Climate in Information Systems Research(Business & Information Systems Engineering: Vol. 63, No. 3, 2021) Lehnhoff, Sebastian; Staudt, Philipp; Watson, Richard T.
- ZeitschriftenartikelInterview with Rainer Hoffmann on ?The Transformation Towards Artificial Intelligence of Electric Utilities??(Business & Information Systems Engineering: Vol. 63, No. 3, 2021) Staudt, Philipp
- ZeitschriftenartikelPerspectives on data availability and market approaches to congestion management(it - Information Technology: Vol. 61, No. 2-3, 2019) Richter, Bent; Staudt, PhilippTransmission grid congestion is one of the consequences of an increasing power generation from intermittent renewable capacities. These are often installed in the periphery and have rare generation peaks. It thus becomes more complicated to ensure a balanced grid operation at all times. It is necessary to develop holistic strategies for the management of congestion that consider short and long operating horizons. This paper introduces several congestion management mechanisms along minimal analytical and numerical models. These solutions are then discussed in regard to the necessary data availability and their contribution to an improved congestion management strategy. The paper therefore contributes to the development of a research agenda at the intercept between economists and computer scientists in the area of energy informatics.
- TextdokumentVehicle Scheduling and refueling of Hydrogen Buses with On-site Electrolysis(INFORMATIK 2020, 2021) Golla, Armin; vom Scheidt, Frederik; Röhrig, Nicole; Staudt, Philipp; Weinhardt, ChristofIn this paper, we present the first model for hydrogen-fueled bus fleet operation with on-site hydrogen production. To support the planning and operation of municipal hydrogen bus fleets, we transfer and adapt a vehicle scheduling algorithm for conventional buses. We optimize vehicle routes with regard to minimizing operational costs. Based on that, we implement a hydrogen refueling strategy suited to minimize the peak demand for a hydrogen refueling station with on-site electrolysis. To demonstrate the functionality of the approach, it is applied to a real-world scenario for public transport in Karlsruhe, Germany. The findings show that the scheduling strategy for vehicle routing and fueling is suited to reduce peak hydrogen demand and thus the required electrolyser capacity and associated costs. In comparison to a naive benchmark refueling scenario, the peak demand is reduced by 20%, lowering investment costs by 400,000 €.