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
