A New Methodology for Calculating The Energy Performance of Manufacturing Facilities. Issue 2 (1st February 2019)

• Record Type: Journal Article
• Authors: Guo, Wei; Wenning, Thomas; Nimbalkar, Sachin; Thirumaran, Kiran; Armstrong, Kristina; Levine, Eli
• Is Part Of: Energy engineering. Volume 116:Issue 2(2019)
• Page Start: 7
• Page End: 21
• Publication Date: 2019-02-01
• Subjects: energy efficiency -- manufacturing facility -- energy performance tracking -- linear regression model -- classic energy intensity -- modified energy intensity -- energy management; Power (Mechanics) -- Periodicals; 621.04205
• DOI: 10.1080/01998595.2019.12054402
• Languages: English
• ISSNs: 0199-8595

Abstract

ABSTRACT: Total energy comparison (TEC), classic energy intensity (CEI), and linear regression models (LRM) are the three most common approaches used to track the energy performance of manufacturing facilities. TEC simply compares the total energy consumption from utility bills. TEC is rarely used because it does not consider the variation of any factors that may affect energy consumption. One step better, CEI considers the variation of production rates by using the ratio of annual total energy consumption over annual total production. However, CEI fundamentally assumes that energy consumption is zero if the production rate is zero. This is almost never true and can cause significant errors. Using linear regression models, LRM considers the impact of multiple variables and, therefore, most accurately tracks energy performance. Unfortunately, because of the lack of either required data or technical expertise, some facilities cannot create valid linear regression models. For these cases, CEI is the only option. The goal of this article is to develop a new methodology, modified energy intensity (MEI), which is more accurate than CEI, but requires much less data and is easier to implement than LRM. Using the underlying principle of LRM, this article first outlines the mathematical derivation of the equations for MEI, then explains them from an engineering perspective. Finally, the implementation of MEI is discussed.