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Energy Load Profile Analysis and Application for Production Simulation and Scheduling using Energy Load Disaggregation

Mario Klostermeier; Leonhard Kunz; William Motsch; Borys Ioshchikhes; Christiane Plociennik; Martin Ruskowski
In: Maike Klein; Daniel Krupka; Cornelia Winter; Martin Gergeleit; Ludger Martin (Hrsg.). INFORMATIK 2024. Pages 1079-1097, ISBN 978-3-88579-746-3, Gesellschaft für Informatik e.V. Bonn, 2024.

Abstract

Rising energy prices and an increasing share of volatile energy supply from renewable energy are leading to greater interest in detailed modeling of energy consumption in manufacturing. Nevertheless, energy measurements and energy load profiling at the machine level as well as the application of energy-related data for production scheduling is challenging. To provide detailed information for applications like scheduling models, degrees of freedom to adapt to energy consumption must be considered even at the component level. Since metering hardware and energy load profiles are often not available for machine components, the methodical application of energy load disaggregation can contribute to these topics. The paper introduces a concept for incorporating event-based load disaggregation to create energy load profiles for production machines. It also explores and discusses potential applications for simulation and scheduling in manufacturing environments.

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