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

Ioshchikhes, Borys ; Piendl, Daniel ; Schmitz, Henrik ; Heiland, Jasper ; Weigold, Matthias
eds.: Kohl, Holger ; Seliger, Günther ; Dietrich, Franz (2023)
Development of a Holistic Framework for Identifying Energy Efficiency Potentials of Production Machines.
18th Global Conference on Sustainable Manufacturing. Berlin (05.-07.10.2022)
doi: 10.1007/978-3-031-28839-5_48
Conference or Workshop Item, Bibliographie

Abstract

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

Item Type: Conference or Workshop Item
Erschienen: 2023
Editors: Kohl, Holger ; Seliger, Günther ; Dietrich, Franz
Creators: Ioshchikhes, Borys ; Piendl, Daniel ; Schmitz, Henrik ; Heiland, Jasper ; Weigold, Matthias
Type of entry: Bibliographie
Title: Development of a Holistic Framework for Identifying Energy Efficiency Potentials of Production Machines
Language: English
Date: 2023
Place of Publication: Cham
Publisher: Springer International Publishing
Book Title: Manufacturing driving circular economy : proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7 2022, Berlin
Series: Lecture Notes in Mechanical Engineering
Event Title: 18th Global Conference on Sustainable Manufacturing
Event Location: Berlin
Event Dates: 05.-07.10.2022
DOI: 10.1007/978-3-031-28839-5_48
Abstract:

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

Uncontrolled Keywords: energy transparency; data acquisition; sustainable manufacturing
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > ETA Energy Technologies and Applications in Production
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > TEC Manufacturing Technology
Date Deposited: 02 Jun 2023 11:55
Last Modified: 07 Jun 2023 07:29
PPN: 508364868
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