Visit the Energy Systems Laboratory Homepage.
Energy and Demand Savings from Implementation Costs in Industrial Facilities
Loading...
Date
2000-05
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Energy Systems Laboratory, Texas A&M University
Abstract
The twenty-five most frequently suggested
energy saving assessment recommendations in the
Industrial Assessment Center program national
database were examined using linear regression
techniques to correlate between energy savings and
demand reduction, and implementation costs. Poor
overall correlations indicate that direct prediction of
savings from implementation costs is generally
unfeasible, with a limited number of exceptions.
Correlations for the twenty-five most frequently
suggested Texas A&M University recommendations
were better than those for the national dataset. The
value of this procedure to speed assessments seems
not worthwhile considering the poor correlations and
the value of the calculations it would replace.
Description
The Industrial Assessment Center (IAC)
program, funded by the Department of Energy
(DOE), consists of faculty and student teams from 30
universities nationwide that perform industrial
assessments of small and medium-size manufacturing
firms. Program goals include providing university
students with energy conservation learning
experiences combined with service to private
manufacturers. These assessments target energy and
waste stream reduction opportunities, as well as
productivity improvements. A typical assessment
consists of utility use analysis, a site visit, and a
written report that summarizes the plant’s energy use,
production processes, and waste handling. The report
will also contain several assessment
recommendations (ARs) that are thorough analyses of specific energy or cost saving measures and
include expected savings, implementation costs and
simple financial analysis (payback).
Keywords
energy savings, assessment, linear regression techniques
Citation
Proceedings of the 22nd National Industrial Energy Technology Conference, pp. 104-111