Browsing Published Articles by Subject "assessment"
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Razinha, J. A.; Heffington, W. M. (Energy Systems Laboratory, Texas A&M University, May 2000)[more][less]
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).
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