Digital Twins for Energy-Efficient Manufacturing

被引：1
作者：
Mohamed, Nader [1 ]
Lazarova-Molnae, Sanja [2 ,3 ]
Al-Jaroodi, Jameela [4 ]
机构：
[1] Penn Western Hosp, Dept Comp Sci & Informat Syst, Calif, CA 15419 USA
[2] Karlsruhe Inst Technol, Inst Appl Informat & Formal Descript Methods, Karlsruhe, Germany
[3] Univ Southern Denmark, Fac Engn, Odense, Denmark
[4] Robert Morris Univ, Dept Engn, Pittsburgh, PA USA
来源：
2023 IEEE INTERNATIONAL SYSTEMS CONFERENCE, SYSCON | 2023年
关键词：
Digital Twin; Energy Efficiency; Smart Factory; Industry; 4.0; Modeling; Simulation; MACHINE-TOOLS; INDUSTRY; RELIABILITY; INTERNET; SYSTEMS;
D O I：
10.1109/SysCon53073.2023.10131066
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Some manufacturing industries consume massive energy for their manufacturing and logistics processes. The costs of manufacturing can increase significantly as the energy cost increases. Such increase amplifies the final cost of the created products on the consumers. This makes finding different approaches that utilize innovative technologies to improve energy efficiency in manufacturing extremely important. This paper investigates how digital twins can be utilized to enable improved energy efficiency in manufacturing. Different applications of digital twins for energy-efficient manufacturing are investigated. In addition, the paper discusses some challenges of utilizing digital twins for this purpose. A framework for utilizing digital twins for energy-efficient manufacturing is also discussed.
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页数：7
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