Energy Load Profile Analysis on Machine Level

Hanno Teiwes*, Stefan Blume, Christoph Herrmann, Markus Rössinger, Sebastian Thiede

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

22 Citations (Scopus)
38 Downloads (Pure)


The metering and analysis of energy demands is widely applied in today's manufacturing industry in order to reduce energy costs and environmental impacts alike. However, especially on machine level the interpretation of energy data is still challenging due to huge amounts of metering data and a lack of methodological knowledge. The presented approach focuses on the evaluation of electric load profiles on machine and workgroup level in dependency on available complementing data such as product, scheduling or machine data. The approach aims at extracting a maximum degree of information from the available data in order to improve machine operation modes, production scheduling, energy cost allocation and factory planning processes. The approach is exemplified by use cases from the automotive industry.

Original languageEnglish
Pages (from-to)271-276
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event25th CIRP Conference on Life Cycle Engineering, LCE 2018 - Copenhagen, Denmark
Duration: 30 Apr 20182 May 2018
Conference number: 25


  • Energy demand
  • Load profile analysis
  • Planning phase

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