Smart Manufacturing Technologies and Data Analytics for Improving Energy Efficiency in Industrial Energy Systems

Alberta Carpenter Petri, Sachin Nimbalkar, Wei Guo, Joe Cresko, Diane Graziano, William Morrow III, Thomas Wenning

Research output: Contribution to conferencePaper

Abstract

Smart manufacturing and advanced data analytics can help the manufacturing sector unlock energy efficiency from the equipment level to the entire manufacturing facility and the whole supply chain. These technologies can make manufacturing industries more competitive, with intelligent communication systems, real-time energy savings, and increased energy productivity. Smart manufacturing can give all employees in an organization the actionable information they need, when they need it, so that each person can contribute to the optimal operation of the corporation through informed, data-driven decision making. This paper examines smart technologies and data analytics approaches for improving energy efficiency and reducing energy costs in process-supporting energy systems. It dives into energy-saving improvement opportunities through smart manufacturing technologies and sophisticated data collection and analysis. The energy systems covered in this paper include those with motors and drives, fans, pumps, air compressors, steam, and process heating.
Original languageAmerican English
Number of pages13
StatePublished - 2017
Event2017 ACEEE Summer Study on Industrial Energy Efficiency through Collaboration - Denver, Colorado
Duration: 15 Aug 201718 Aug 2017

Conference

Conference2017 ACEEE Summer Study on Industrial Energy Efficiency through Collaboration
CityDenver, Colorado
Period15/08/1718/08/17

Bibliographical note

Available from ACEEE: see https://aceee.org/files/proceedings/2017/data/

NREL Publication Number

  • NREL/CP-6A20-74051

Keywords

  • data analytics
  • industrial energy
  • smart manufacturing

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