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A Generalized Method for Estimation of Industrial Energy Savings from Capital and Behavioral Programs
Abstract
In 2005, NEEA engaged the food processing
industry in the Northwest with a behavior based
program called Continuous Energy Improvement
(CEI). Industrial energy efficiency programs have
historically been limited to large capital projects
because savings from behavioral elements are
difficult to measure. The challenge is to calculate a
robust estimate of all program energy savings, not
just those associated with capital projects.
A generalized linear regression model based on
intervention analysis methodology was developed to
capture total energy savings. This model allows the
separation of capital savings to yield savings
uniquely attributable to the behavioral program.
The intervention model and the resulting
calculated savings were both validated by an
independent Evaluation Measurement and
Verification (EM&V) validation contractor. Actual
2006-2010 validated savings from CEI behavior
change was 3 percent per year for both electric and natural
gas. This paper will present the technical foundations
of the model and discuss the resulting analysis.
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Citation
Luneski, R. D. (2011). A Generalized Method for Estimation of Industrial Energy Savings from Capital and Behavioral Programs. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /94789.