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Auflistung nach Schlagwort "Energy informatics"

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  • Zeitschriftenartikel
    Benchmarking Energy Quantification Methods to Predict Heating Energy Performance of Residential Buildings in Germany
    (Business & Information Systems Engineering: Vol. 63, No. 3, 2021) Wenninger, Simon; Wiethe, Christian
    To achieve ambitious climate goals, it is necessary to increase the rate of purposeful retrofit measures in the building sector. As a result, Energy Performance Certificates have been designed as important evaluation and rating criterion to increase the retrofit rate in the EU and Germany. Yet, today?s most frequently used and legally required methods to quantify building energy performance show low prediction accuracy, as recent research reveals. To enhance prediction accuracy, the research community introduced data-driven methods which obtained promising results. However, there are no insights in how far Energy Quantification Methods are particularly suited for energy performance prediction. In this research article the data-driven methods Artificial Neural Network, D-vine copula quantile regression, Extreme Gradient Boosting, Random Forest, and Support Vector Regression are compared with and validated by real-world Energy Performance Certificates of German residential buildings issued by qualified auditors using the engineering method required by law. The results, tested for robustness and systematic bias, show that all data-driven methods exceed the engineering method by almost 50% in terms of prediction accuracy. In contrast to existing literature favoring Artificial Neural Networks and Support Vector Regression, all tested methods show similar prediction accuracy with marginal advantages for Extreme Gradient Boosting and Support Vector Regression in terms of prediction accuracy. Given the higher prediction accuracy of data-driven methods, it seems appropriate to revise the current legislation prescribing engineering methods. In addition, data-driven methods could support different organizations, e.g., asset management, in decision-making in order to reduce financial risk and to cut expenses.
  • Zeitschriftenartikel
    Energieinformatik
    (Wirtschaftsinformatik: Vol. 56, No. 1, 2014) Goebel, Christoph; Jacobsen, Hans-Arno; Razo, Victor; Doblander, Christoph; Rivera, Jose; Ilg, Jens; Flath, Christoph; Schmeck, Hartmut; Weinhardt, Christof; Pathmaperuma, Daniel; Appelrath, Hans-Jürgen; Sonnenschein, Michael; Lehnhoff, Sebastian; Kramer, Oliver; Staake, Thorsten; Fleisch, Elgar; Neumann, Dirk; Strüker, Jens; Erek, Koray; Zarnekow, Rüdiger; Ziekow, Holger; Lässig, Jörg
    Aufgrund der zunehmenden Bedeutung einer nachhaltigen Energieerzeugung und eines sparsameren Verbrauchs hat sich die Energieinformatik (EI) zu einem florierenden Forschungsgebiet innerhalb der (Wirtschafts-)Informatik entwickelt. Der Beitrag versucht, dieses neue und dynamische Forschungsfeld durch die Beschreibung aktueller Themen und Methoden der Energieinformatikforschung zu charakterisieren, und gibt einen Ausblick auf die mögliche zukünftige Entwicklung. Zwei generelle Forschungsfragen haben bislang die meiste Aufmerksamkeit auf sich gezogen und werden die EI-Forschungsagenda wahrscheinlich auch in den nächsten Jahre dominieren: Wie kann Informations- und Kommunikationstechnologie (IKT) dabei helfen, (1) die Energieeffizienz zu erhöhen und (2) dezentrale erneuerbare Energiequellen in das Stromnetz zu integrieren. Die Autoren stellen ausgewählte Forschungsarbeiten aus dem EI-Bereich vor und zeigen, wie diese Forschungsfragen in konkrete Forschungsprojekte münden und wie EI-Forscher Beiträge auf der Grundlage ihres jeweiligen akademischen Hintergrundes erbracht haben.AbstractDue to the increasing importance of producing and consuming energy more sustainably, Energy Informatics (EI) has evolved into a thriving research area within the CS/IS community. The article attempts to characterize this young and highly dynamic field of research by describing current EI research topics and methods and provides an outlook of how the field might evolve in the future. It is shown that two general research questions have received the most attention so far and are likely to dominate the EI research agenda in the coming years: How to leverage information and communication technology (ICT) to (1) improve energy efficiency, and (2) to integrate decentralized renewable energy sources into the power grid. Selected EI streams are reviewed, highlighting how the respective research questions are broken down into specific research projects and how EI researchers have made contributions based on their individual academic background.
  • Zeitschriftenartikel
    Framing Microgrid Design from a Business and Information Systems Engineering Perspective
    (Business & Information Systems Engineering: Vol. 61, No. 6, 2019) Sachs, Thomas; Gründler, Anna; Rusic, Milos; Fridgen, Gilbert
    Microgrids are decentralized distribution networks that integrate distributed energy resources and balance energy generation and loads locally. The introduction of microgrids can help overcome the challenges of global energy systems. Despite this potential, the information systems domain has seen limited research on microgrids. This paper synthesizes research on elements of microgrids for electric energy. Interviewed experts maintain that technological microgrid solutions have been solidly developed; nevertheless, the lack of economic and business consideration is stalling their deployment. The authors argue that business and information systems engineering research can provide integrated perspectives that connect technology and markets. Consequently, the authors derive a framework from an extensive interdisciplinary literature review that structures the academic state of the art on microgrid design and could guide associated information systems research. The framework comprises four layers: energy technology and infrastructure, information and communication infrastructure, application systems, and governance. The authors evaluate the framework in interviews with 15 experts from industry and three from academia. Their feedback allows to iteratively refine the framework and point out research directions on microgrids in business and information systems engineering.
  • Zeitschriftenartikel
    Not All Doom and Gloom:ÿHow Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources (**encoding or data invalid**)
    (Business & Information Systems Engineering: Vol. 63, No. 3, 2021) Fridgen, Gilbert; Körner, Marc-Fabian; Walters, Steffen; Weibelzahl, Martin
    To achieve a sustainable energy system, a further increase in electricity generation from renewable energy sources (RES) is imperative. However, the development and implementation of RES entail various challenges, e.g., dealing with grid stability issues due to RES? intermittency. Correspondingly, increasingly volatile and even negative electricity prices question the economic viability of RES-plants. To address these challenges, this paper analyzes how the integration of an RES-plant and a computationally intensive, energy-consuming data center (DC) can promote investments in RES-plants. An optimization model is developed that calculates the net present value (NPV) of an integrated energy system (IES) comprising an RES-plant and a DC, where the DC may directly consume electricity from the RES-plant. To gain applicable knowledge, this paper evaluates the developed model by means of two use-cases with real-world data, namely AWS computing instances for training Machine Learning algorithms and Bitcoin mining as relevant DCÿapplications. The results illustrate that for both cases the NPV of the IES compared to a stand-alone RES-plant increases, which may lead to a promotion of RES-plants. The evaluation also finds that the IES may be able to provide significant energy flexibility that can be used to stabilize the electricity grid. Finally, the IES may also help to reduce the carbon-footprint of new energy-intensive DC applications by directly consuming electricity from RES-plants. (**encoding or data invalid**)