Energy Load Profile Analysis on Machine Level

Abstract 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.