Logo des Repositoriums

Auflistung nach Autor:in "Schimmelpfennig, Jens"

1 - 4 von 4
  • Zeitschriftenartikel
    Flexible IT platform for synchronizing energy demands with volatile markets
    (it - Information Technology: Vol. 60, No. 3, 2018) Schott, Paul; Ahrens, Raphael; Bauer, Dennis; Hering, Fabian; Keller, Robert; Pullmann, Jaroslav; Schel, Daniel; Schimmelpfennig, Jens; Simon, Peter; Weber, Thomas; Abele, Eberhard; Bauernhansl, Thomas; Fridgen, Gilbert; Jarke, Matthias; Reinhart, Gunther
    Abandoning fossil and nuclear energy sources in the long run and increasing amount of renewable energies in electricity production causes a more volatile power supply. Depending on external realities, renewable energy production emphasizes the need for measures to guarantee the necessary balance of demand and supply in the electricity system at all times. Energy intensive industry processes theoretically include high Demand Response potentials suitable to tackle this increasing supply volatility. Nevertheless, most companies do not operate their production in a flexible manner due to multiple reasons: among others, the companies lack know-how, technologies and a clear business case to introduce an additional level of flexibility into their production processes, they are concerned about possible impacts on their processes by varying the electricity demand and need assistance in exploiting their flexibility. Aside from fostering knowledge in industry companies, an IT-solution that supports companies to use their processes’ Demand Response potential has become necessary. Its concept must support companies in managing companies’ energy-flexible production processes and monetarize those potentials at flexibility markets. This paper presents a concept, which integrates both companies and energy markets. It enables automated trading of companies’ Demand Response potential on different flexibility markets.
  • Konferenzbeitrag
    Involving business users in the design of complex event processing systems
    (Datenbanksysteme für Business, Technologie und Web (BTW), 2011) Schimmelpfennig, Jens; Mayer, Dirk; Walter, Philipp; Seel, Christian
    Complex Event Processing (CEP) gained more and more attention in research and practical usage during the last years. Several engines and languages have been created and adapted in order to handle complex events. To describe the aggregation of simple events to more complex ones, these engines use technical and formal languages which are difficult to handle for business experts. Hence, business experts are often not properly involved in the definition of complex events. This lack in the area of requirement engineering worsens the result of many CEP projects. Therefore this paper proposes a conceptual modeling language that allows business experts to specify complex events according to actual business needs. The proposed modeling language is demonstrated in a quality management scenario in the automotive manufacturing industry and is defined with OMG's MOF standard.
  • Konferenzbeitrag
    Realizing the predictive enterprise through intelligent process predictions based on big data analytics: A case study and architecture proposal
    (Informatik 2014, 2014) Krumeich, Julian; Schimmelpfennig, Jens; Werth, Dirk; Loos, Peter
    Today's globalized economy forces companies more than ever to constantly adapt their business process executions to present business situations. Companies that are able to analyze the current state of their processes and moreover forecast its most optimal progress as well as proactively control them based on reliable predictions will be a decisive step ahead competitors. The paper at hands examines, based on a case study stemming from the steel manufacturing industry, which production-related data is currently collectable using state of the art sensor technologies forming a potential foundation for a detailed situation awareness and derivation of accurate forecasts. An analysis of this data however shows that its full potential cannot be utilized without dedicated approaches of big data analytics. By proposing an architecture for implementing predictive enterprise systems, the article intends to form a working and discussion basis for further research and implementation efforts in big data analytics.
  • Zeitschriftenartikel
    Wie IT die Energieflexibilitätsvermarktung von Industrieunternehmen ermöglicht und die Energiewende unterstützt
    (HMD Praxis der Wirtschaftsinformatik: Vol. 58, No. 1, 2021) Bauer, Dennis; Hieronymus, Aljoscha; Kaymakci, Can; Köberlein, Jana; Schimmelpfennig, Jens; Wenninger, Simon; Zeiser, Reinhard
    Auf dem Weg zur Erreichung der gesetzten Klimaziele in Deutschland muss der Anteil erneuerbarer Energien an der Stromerzeugung stetig ausgebaut werden. Die damit einhergehende zunehmende Fluktuation der Erzeugungsleistung stellt die Stromnetze vor große Herausforderungen. Da knapp 44 % des Strom- und rund ein Viertel des Wärmeverbrauchs in Deutschland auf die Industrie entfällt, bietet diese signifikantes Potenzial, Schwankungen im Stromnetz durch die Anpassung des Stromverbrauchs an das Stromangebot im Sinne von Demand Response mittels Energieflexibilität auszugleichen. Bislang erschwert neben regulatorischen Rahmenbedingungen insbesondere eine fehlende einheitliche Modellierung & Kommunikation von Energieflexibilität sowie deren Einbettung in bestehende Unternehmens-IT-Infrastrukturen eine optimale und automatisierte Vermarktung. Im Rahmen des Forschungsprojekts SynErgie wurden hierfür informationstechnische Anforderungen erhoben, Datenmodelle zur Beschreibung von Energieflexibilität und eine übergeordnete IT-Architektur entwickelt. Mit Hilfe einer unternehmensspezifischen Plattform und einer zentralen Marktplattform kann der Informations- und Kommunikationsfluss von der Maschine/Anlage bis zur Flexibilitätsvermarktung und wieder zurück abgebildet werden. Eine Vielzahl verschiedener Services unterstützt hierbei ein Unternehmen von der Identifikation bis hin zur automatisierten und standardisierten Vermarktung von Energieflexibilität. Durch die Einsatzmöglichkeiten und Wirkansätze von IT wurden Grundsteine für nachhaltigkeitsbezogene Effekte des industriellen Energieverbrauchs gelegt, welche in den kommenden Monaten in einer Modellregion in und um Augsburg mit Industrieunternehmen, Netzbetreibern und weiteren Serviceanbietern getestet werden. To achieve the climate targets set in Germany, the share of renewable energies in electricity generation must be steadily increased. The associated increasing fluctuation in generation capacity poses major challenges for electricity grids. Since industry accounts for almost 44% of electricity consumption and around a quarter of heat consumption in Germany, it offers significant potential for compensating fluctuations in the electricity grid by adapting electricity consumption to the supply of electricity in the sense of demand response through energy flexibility. Up to now, the lack of a standardized and consistent modeling and communication of energy flexibility and its embeddings in existing corporate IT infrastructures has made automated marketing of energy flexibility difficult. Within the framework of the research project SynErgie, information technology requirements were collected, data models for the description of energy flexibility and a superordinate IT architecture were developed. With the help of a company-specific platform and a central market platform, the flow of information and communication from the machine/plant to the flexibility markets and back can be mapped. A variety of different services support companies from identification to automated and standardized marketing of energy flexibility. The possible applications and approaches of IT have laid the foundation for sustainability-related effects of industrial energy consumption, which will be tested in the coming months in a model region in and around Augsburg with industrial companies, network operators and other service providers.