Understanding Industrial Energy Use Through Lean Energy Analysis 2011-01-0326
This paper describes a simple statistical method to statistically disaggregate industrial energy use into production-dependent, weather-dependent and independent components. This simple statistical disaggregation has many uses, including improving model calibration, quantifying non-productive energy use and identifying energy efficiency opportunities. The process is called Lean Energy Analysis (LEA) because of its relationship to Lean Manufacturing, which seeks to reduce non-productive activity. This paper describes the statistical models, discusses the application of the LEA approach to over 40 industrial facilities, and provides case study examples of the benefits.
Citation: Abels, B., Sever, F., Kissock, K., and Ayele, D., "Understanding Industrial Energy Use Through Lean Energy Analysis," SAE Int. J. Mater. Manuf. 4(1):495-504, 2011, https://doi.org/10.4271/2011-01-0326. Download Citation
Author(s):
Brian Abels, Franc Sever, Kelly Kissock, Dawit Ayele
Affiliated:
Univ. of Dayton, Emcor Energy Services
Pages: 10
Event:
SAE 2011 World Congress & Exhibition
ISSN:
1946-3979
e-ISSN:
1946-3987
Also in:
SAE International Journal of Materials and Manufacturing-V120-5, SAE International Journal of Materials and Manufacturing-V120-5EJ
Related Topics:
Energy consumption
Statistical analysis
Energy conservation
Lean manufacturing
Calibration
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