Now showing 1 - 7 of 7
  • Publication
    Electricity Market Design 2030-2050: Shaping future electricity markets for a climate-neutral Europe
    ( 2021)
    Ahunbay, Mette Seref
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    Ashour Novirdoust, Amir
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    Bhuiyan, Rajon
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    Bichler, Martin
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    Bindu, Shilpa
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    Bjørndal, Endre
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    Bjørndal, Mette
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    Buhl, Hans Ulrich
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    Chaves-Ávila, José Pablo
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    Gerard, Helena
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    Gross, Stephan
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    Hanny, Lisa
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    Knörr, Johannes
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    Marques, Luciana
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    Neuhoff, Karsten
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    Neumann, Christoph
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    Ocenic, Elena
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    Ott, Marion
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    Pichlmeier, Markus
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    Richstein, Jörn C.
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    Rinck, Maximilian
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    Röhrich, Felix
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    Strüker, Jens
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    Troncia, Matteo
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    Wagner, Johannes
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    Weibelzahl, Martin
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    Zilke, Philip
  • Publication
    A Holistic Framework for AI Systems in Industrial Applications
    Although several promising use cases for artificial intelligence (AI) for manufacturing companies have been identified, these are not yet widely used. Existing literature covers a variety of frameworks, methods and processes related to AI systems. However, the application of AI systems in manufacturing companies lacks a uniform understanding of components and functionalities as well as a structured process that supports developers and project managers in planning, implementing, and optimizing AI systems. To close this gap, we develop a generic conceptual model of an AI system for the application in manufacturing systems and a four-phase model to guide developers and project managers through the realization of AI systems.
  • Publication
    Integrating Energy Flexibility in Production Planning and Control - An Energy Flexibility Data Model-Based Approach
    ( 2021) ; ;
    Köberlein, Jana
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    Lindner, Martin
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    Weigold, Matthias
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    Production companies face the challenge of reducing energy costs and carbon emissions while achieving the logistical objectives at the same time. Active management of electricity demand, also known as Demand Side Management (DSM) or Energy Flexibility (EF), has been recognized as an effective approach to minimize energy procurement costs for example by reducing peak loads. Additionally, it helps to integrate (self-generated, volatile) renewable energies to reduce carbon emissions and has the ability to stabilize the power grid, if the incentives are set appropriately. Although production companies possess great potential for EF, implementation is not yet common. Approaches to practical implementation for integrating energy flexibility into production planning and control (PPC) to dynamically adapt the consumption to the electricity supply are scarce to non-existent due to the high complexity of such approaches. Therefore, this paper presents an approach to integrate EF into PPC. Based on the energy-oriented PPC, the approach identifies and models EF of processes in a generic energy flexibility data model (EFDM) which is subsequently integrated in the energy-oriented production plan and further optimised on the market side. An application-oriented use case in the chemical industry is presented to evaluate the approach. The implementation of the approach shows that EF can have a variety of characteristics in production systems and a clear, structured, and applicable method can help companies to an automated EF. Finally, based on the results of the use case, it is recommended to introduce EF in production companies stepwise by extending existing planning and scheduling systems with the presented approach to achieve a realization of flexibility measures and a reduction of energy costs.
  • Publication
    Energy Anomaly Detection in Industrial Applications with Long Short-term Memory-based Autoencoders
    With the goal of reducing energy costs, carbon emissions, and achieving cleaner production, manufacturing companies aim to reduce their energy consumption. In manufacturing companies, a considerable amount of energy is wasted due to plant-, process- and human-related faults. Tools and methods for detecting anomalies are widely used for fraud detection in finance or intrusion detection in cybersecurity. When it comes to anomaly detection of malicious energy consumption, the residential building sector is leading. Industrial applications are not being addressed by now. In this paper, an end-to-end solution of an anomaly detection system is presented that uses the concept of a Long Short-term Memory based Autoencoder (LSTM-AE) as an unsupervised learning model that detects anomalies without labeling the data beforehand.
  • Publication
    Energieflexibel in die Zukunft - Wie Fabriken zum Gelingen der Energiewende beitragen können
    (VDI Verlag, 2021)
    Bachmann, Andreas
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    Bark, Carlo
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    Blöchl, Bruno Blöchl
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    Brugger, Martin
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    Buhl, Hans Ulrich
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    Dietz, Benjamin
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    Donnelly, Julia
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    Friedl, Thomas
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    Halbrügge, Stephanie
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    Hauck, Heribert
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    Heil, Joachim
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    Hinck, Torben
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    Ilieva-König, Svetlina
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    Johnzén, Carl
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    Koch, Carsten
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    Köberlein, Jana
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    Lochner, Stefan
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    Lindner, Martin
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    Mayer, Tim
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    Mitsos, Alexander
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    Scheil, Claudia
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    Schimmelpfennig, Jens
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    Schulz, Julia
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    Schulze, Jan
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    Sossenheimer, Johannes
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    Strobel, Nina
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    Tristan, Alejandro
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    Vernim, Susanne
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    Wagner, Jonathan
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    Wagon, Felix
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    Weibelzahl, Martin
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    Weigold, Matthias
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    Weissflog, Jan
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    Wenninger, Simon
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    Wöhl, Moritz
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    Zacharias, Jan
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    Zäh, Michael F.
    Eine energieflexible Stromnachfrage kann einen erheblichen Beitrag bei der Neuausrichtung unseres Stromsystems hin zu einer erneuerbaren Energieerzeugung leisten. Die Nachfrage industrieller Verbraucher stellt mit einem Anteil von 44 % am Gesamtstromverbrauch [1] den größten Hebel dar, um die Versorgungssicherheit vor dem Hintergrund einer verstärkt witterungsabhängigen Erzeugung weiterhin zu gewährleisten und zugleich einen wichtigen Beitrag zur Wirtschaftlichkeit zu leisten. Dabei ergibt sich durch die Bereitstellung von Energieflexibilität gerade für Industrieunternehmen die Chance, wirtschaftliche Vorteile gegenüber einer nicht flexiblen Energienachfrage zu erzielen und einen Beitrag zur Nachhaltigkeit der Stromversorgung zu leisten.
  • Publication
    Konzept der Energiesynchronisationsplattform. Diskussionspapier V3
    (Fraunhofer IGCV, 2020) ; ;
    Brugger, Martin
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    Köberlein, Jana
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    Fridgen, Gilbert
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    Buhl, Hans Ulrich
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    Bojung, Caroline
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    Schott, Paul
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    Weigold, Matthias
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    Lindner, Martin
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    Schimmelpfennig, Jens
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    Winter, Christian
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    Das Kopernikus-Projekt SynErgie entwickelt eine IT-Plattform, die automatisierten und standardisierten Handel mit industriell bereitgestellter Energieflexibilität ermöglichen soll. Wie diese Plattform funktionieren könnte, zeigt das Diskussionspapier ""Konzept der Energiesynchronisationsplattform"": Die zunehmende Nutzung von Strom aus erneuerbaren Quellen führt aufgrund der Wetterabhängigkeit von Wind und Sonne zu einem zunehmend volatileren Stromangebot. Damit das notwendige Gleichgewicht von Angebot und Nachfrage im Elektrizitätssystem jederzeit gewährleistet werden kann, sind Maßnahmen zum Ausgleich dieser Schwankungen notwendig. Energieintensive Industrieprozesse beinhalten ein hohes Flexibilitätspotenzial, um mittels Demand-Response, diesen Schwankungen zu begegnen. SynErgie arbeitet daran, den gesamte Prozess des Energieflexibilitätshandels von der Maschine bis an die Märkte auf einer IT-Plattform zu automatisieren und zu standardisieren. Die Energiesynchronisationsplattform besteht aus zwei logischen Teilplattformen, einer Markt- und vielen Unternehmensplattformen. Ziel bis Mitte 2022 ist es, ein durchgängiges Konzept einschließlich des Daten- und Informationsflusses von der Maschine bis zu den Energiemärkten zu entwickeln und in einer Referenzarchitektur abzubilden. Außerdem soll das Konzept im Rahmen einer Vielzahl von Forschungs- und Industriedemonstratoren und insbesondere in der Modellregion Augsburg mit lokalen Akteuren in einem umfassenden Testbetrieb erprobt werden. Mehr zur Energiesynchronisationsplattform, der Markt- und Unternehmensplattform, zur Informationssicherheit der IT-Plattformen, Anwendungsbeispielen und den Zukunftsvisionen können Sie im Diskussionspapier nachlesen.
  • Publication
    Harnessing the Full Potential of Industrial Demand-Side Flexibility: An End-to-End Approach Connecting Machines with Markets through Service-Oriented IT Platforms
    ( 2019)
    Rösch, Martin
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    Haupt, Leon
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    Keller, Robert
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    Fridgen, Gilbert
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    The growing share of renewable energy generation based on fluctuating wind and solar energy sources is increasingly challenging in terms of power grid stability. Industrial demand-side response presents a promising way to balance energy supply and consumption. For this, energy demand is flexibly adapted based on external incentives. Thus, companies can economically benefit and at the same time contribute to reducing greenhouse gas emissions. However, there are currently some major obstacles that impede industrial companies from taking part in the energy markets. A broad specification analysis systematically dismantles the existing barriers. On this foundation, a new end-to-end ecosystem of an energy synchronization platform is introduced. It consists of a business-individual company-side platform, where suitable services for energy-oriented manufacturing are offered. In addition, one market-side platform is established as a mediating service broker, which connects the companies to, e.g., third party service providers, energy suppliers, aggregators, and energy markets. The ecosystems aim at preventing vendor lock-in and providing a flexible solution, relying on open standards and offering an integrated solution through an end-to-end energy flexibility data model. In this article, the resulting functionalities are discussed and the remaining deficits outlined.