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

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.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2];  [3];  [4]
  1. ORNL
  2. U.S. Department of Energy (DOE)
  3. Argonne National Laboratory (ANL)
  4. Lawrence Berkeley National Laboratory (LBNL)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1376589
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: American Council for Energy Efficient Economy - Denver, Colorado, United States of America - 8/15/2017 4:00:00 AM-8/18/2017 4:00:00 AM; Related Information: Full text is available for free downloading at ACEEE at https://aceee.org/files/proceedings/2017/data/polopoly_fs/1.3687886.1501159066!/fileserver/file/790269/filename/0036_0053_000028.pdf
Country of Publication:
United States
Language:
English

Citation Formats

Nimbalkar, Sachin U., Guo, Wei, Wenning, Thomas J., Cresko, Joe, Graziano, Diane, and Morrow, III, William R. Smart Manufacturing Technologies and Data Analytics for Improving Energy Efficiency in Industrial Energy Systems. United States: N. p., 2017. Web.
Nimbalkar, Sachin U., Guo, Wei, Wenning, Thomas J., Cresko, Joe, Graziano, Diane, & Morrow, III, William R. Smart Manufacturing Technologies and Data Analytics for Improving Energy Efficiency in Industrial Energy Systems. United States.
Nimbalkar, Sachin U., Guo, Wei, Wenning, Thomas J., Cresko, Joe, Graziano, Diane, and Morrow, III, William R. Tue . "Smart Manufacturing Technologies and Data Analytics for Improving Energy Efficiency in Industrial Energy Systems". United States.
@article{osti_1376589,
title = {Smart Manufacturing Technologies and Data Analytics for Improving Energy Efficiency in Industrial Energy Systems},
author = {Nimbalkar, Sachin U. and Guo, Wei and Wenning, Thomas J. and Cresko, Joe and Graziano, Diane and Morrow, III, William R.},
abstractNote = {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.},
doi = {},
url = {https://www.osti.gov/biblio/1376589}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {8}
}

Conference:
Other availability
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