TU Darmstadt / ULB / TUbiblio

Ascertainment of Energy Consumption Information in the Age of Industrial Big Data

Flick, Dominik ; Kuschicke, Felix ; Schweikert, Marcelo ; Thiele, Thomas ; Panten, Niklas ; Thiede, Sebastian ; Herrmann, Christoph :
Ascertainment of Energy Consumption Information in the Age of Industrial Big Data.
[Online-Edition: https://doi.org/10.1016/j.procir.2018.03.122]
In: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V., 72 pp. 202-208. ISSN 2212-8271
[Artikel], (2018)

Offizielle URL: 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.

Typ des Eintrags: Artikel
Erschienen: 2018
Autor(en): Flick, Dominik ; Kuschicke, Felix ; Schweikert, Marcelo ; Thiele, Thomas ; Panten, Niklas ; Thiede, Sebastian ; Herrmann, Christoph
Titel: Ascertainment of Energy Consumption Information in the Age of Industrial Big Data
Sprache: Englisch
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.

Titel der Zeitschrift, Zeitung oder Schriftenreihe: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V.
Reihe: CIRP Conference on Manufacturing
Band: 72
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen (PTW)
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen (PTW) > Umweltgerechte Produktion
Hinterlegungsdatum: 05 Jul 2018 09:04
Offizielle URL: https://doi.org/10.1016/j.procir.2018.03.122
Export:

Optionen (nur für Redakteure)

Eintrag anzeigen Eintrag anzeigen