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

Flick, Dominik and Kuschicke, Felix and Schweikert, Marcelo and Thiele, Thomas and Panten, Niklas and Thiede, Sebastian and 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
[Article] , (2018)

Official URL: https://doi.org/10.1016/j.procir.2018.03.122

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.

Item Type: Article
Erschienen: 2018
Creators: Flick, Dominik and Kuschicke, Felix and Schweikert, Marcelo and Thiele, Thomas and Panten, Niklas and Thiede, Sebastian and Herrmann, Christoph
Title: Ascertainment of Energy Consumption Information in the Age of Industrial Big Data
Language: English
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.

Journal or Publication Title: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V.
Series Name: CIRP Conference on Manufacturing
Volume: 72
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW) > Sustainable Production (new name since 01.07.2018 ETA Energy Technologies and Applications in Production)
Date Deposited: 05 Jul 2018 09:04
Official URL: https://doi.org/10.1016/j.procir.2018.03.122
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