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

Dominik Flick; Felix Kuschicke; Marcelo Schweikert; Thomas Thiele; Niklas Panten; Sebastian Thiede; Christoph Herrmann

doi:10.1016/j.procir.2018.03.122

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

Dominik Flick^*, Felix Kuschicke, Marcelo Schweikert, Thomas Thiele, Niklas Panten, Sebastian Thiede, Christoph Herrmann

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Academic › peer-review

6 Citations (Scopus)

10 Downloads (Pure)

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.

Original language	English
Pages (from-to)	202-208
Number of pages	7
Journal	Procedia CIRP
Volume	72
DOIs	https://doi.org/10.1016/j.procir.2018.03.122
Publication status	Published - 1 Jan 2018
Externally published	Yes
Event	51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden Duration: 16 May 2018 → 18 May 2018 Conference number: 51

Keywords

Energy monitoring
Energy transparency
Fields of application
Shop floor data

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10.1016/j.procir.2018.03.122Licence: CC BY-NC-ND

Flick2018ascertainmentFinal published version, 870 KBLicence: CC BY-NC-ND

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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.",

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AU - Flick, Dominik

AU - Kuschicke, Felix

AU - Schweikert, Marcelo

AU - Thiele, Thomas

AU - Panten, Niklas

AU - Thiede, Sebastian

AU - Herrmann, Christoph

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AB - 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.

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