Development of a Holistic Framework for Identifying Energy Efficiency Potentials of Production Machines

Abstract A prerequisite to identify energy efficiency potentials and improve is the measurement analysis of demand. However, in industrial practice, approaches measures production machines are associated with high costs for metering equipment time consuming requiring expertise. Against this background, paper describes a comprehensive cost-efficient framework from acquisition data serve as starting point increase manufacturing. For purpose, an transparency system being developed that can measure, record analyze electrical quantities. The validity be verified by utilizing Raspberry Pi low-cost edge analyzer device. Measurement stored metadata SQLite database subsequent processing Python-based web application, which machine learning algorithms deployed. used process vast amounts provide basis calculating performance indicators reveal potentials. overall workflow validated using lathe cleaning within ETA Research Factory at Technical University Darmstadt.