Flick, Dominik ; Kuschicke, Felix ; Schweikert, Marcelo ; Thiele, Thomas ; Panten, Niklas ; Thiede, Sebastian ; Herrmann, Christoph (2018)
Ascertainment of Energy Consumption Information in the Age of Industrial Big Data.
In: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V., 72
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Industrial Big Data and Energy Management have become major strategic topics in manufacturing as they offer possibilities to realize untapped cost and emission saving potentials. The paper discusses the utilization of equipment internal energy-relevant data as part of the Industrial Big Data developments taking place in manufacturing to create energy transparency according to ISO 50001. A classification framework to estimate the required effort of ascertaining information on energy consumption of production equipment is described and the synergy effects with Industrial Big Data related to data acquisition, extraction and infrastructure are discussed. Furthermore, a case study provides insights about the achievable energy transparency in an automotive body shop.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Flick, Dominik ; Kuschicke, Felix ; Schweikert, Marcelo ; Thiele, Thomas ; Panten, Niklas ; Thiede, Sebastian ; Herrmann, Christoph |
| Art des Eintrags: | Bibliographie |
| Titel: | Ascertainment of Energy Consumption Information in the Age of Industrial Big Data |
| Sprache: | Englisch |
| Publikationsjahr: | 2018 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V. |
| Jahrgang/Volume einer Zeitschrift: | 72 |
| Reihe: | CIRP Conference on Manufacturing |
| URL / URN: | https://doi.org/10.1016/j.procir.2018.03.122 |
| Kurzbeschreibung (Abstract): | Industrial Big Data and Energy Management have become major strategic topics in manufacturing as they offer possibilities to realize untapped cost and emission saving potentials. The paper discusses the utilization of equipment internal energy-relevant data as part of the Industrial Big Data developments taking place in manufacturing to create energy transparency according to ISO 50001. A classification framework to estimate the required effort of ascertaining information on energy consumption of production equipment is described and the synergy effects with Industrial Big Data related to data acquisition, extraction and infrastructure are discussed. Furthermore, a case study provides insights about the achievable energy transparency in an automotive body shop. |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > Umweltgerechte Produktion (am 01.07.2018 umbenannt in ETA Energietechnologien und Anwendung in der Produktion) |
| Hinterlegungsdatum: | 05 Jul 2018 09:04 |
| Letzte Änderung: | 05 Jul 2018 09:04 |
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