Abstract
In the energy transition context, the manufacturing industry moves into the spotlight, as it is responsible for significant proportions of global greenhouse gas emissions. The consequent pressure to decarbonize leads to suppliers needing to report and continuously reduce the energy consumption incurred in manufacturing supplied goods. To track the energy footprint of their products, manufacturing companies need to integrate energy data with process and planning data, enabling the tracing of the product-specific energy consumption on the shop floor level. Since manufacturing processes are prone to disturbances such as maintenance, the energy footprint of each product differs. Meanwhile, the demand for energy-efficiently produced products is increasing, supporting the development of a sustainability-focused procurement by OEMs. This paper addresses this development and outlines the technical requirements as well as how companies can identify product-specific energy consumption. Furthermore, a case study is conducted detailing how to determine the product-specific energy footprint.
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Acknowledgements
The industrial data examined in this publication were provided from CUNA production by Fraunhofer IOSB-INA. CUNA Production consists of an injection molding production facility set up in the SmartFactoryOWL in Lemgo in a cooperative of 10 industrial partners and has been operating since 2021. The framework for this cooperative was set by the research and development project “KI-Reallabor für die Automation und Produktion” initiated by the German initiative “Plattform Industrie 4.0”, funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) and managed by the VDI Technologiezentrum (VDI TZ). Under the leadership of Fraunhofer IOSB-INA, the project pursues the central objective of making industrial datasets available to a broad community of AI developers via an open data platform. Fraunhofer IOSB-INA generates and processes the data arising from CUNA production to enable the training of models. One focus of the “KI Reallabor” is the development of an energetic footprint by Fraunhofer IPA based on the data presented in this publication.
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Pelger, P., Kaymakci, C., Wenninger, S., Fabri, L., Sauer, A. (2023). Determining the Product-Specific Energy Footprint in Manufacturing. In: Liewald, M., Verl, A., Bauernhansl, T., Möhring, HC. (eds) Production at the Leading Edge of Technology. WGP 2022. Lecture Notes in Production Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-18318-8_77
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