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A Proposed Method for Improving Residential Heating Energy Estimates Based on Billing Data
Abstract
Analyses o f residential energy conservation
programs frequently require reliable estimates of
program effects on space-heating energy
consumption. Simulation models are often used to
provide such estimates. Recent, large-scale
programs to collect empirical energy consumption
data, however, provide a basis for alternative
ways to estimate program effects that utilize the
empirical data. The PRISM methodology uses
relatively inexpensive billing and weather data
to estimate base and temperature-sensitive
(primarily space-heating) loads. We used billing
data from over 300 manufactured (mobile) homes in
two residential conservation projects to derive
PRISM heating energy estimates. Actual heating
energy data for a subset of these homes was used
to develop a methodology for adjusting the
initial PRISM-based heating estimates. We
developed the adjustment relying on a theoretical
approach and the empirical data. This approach
resulted in a correction technique that reduced
the average error in the initial PRISM-based
space-heating estimates by about 70%. and
requires primarily readily available PRISM
outputs and limited housing characteristics data.
Citation
Lee, A. D.; Hadley, D. L. (1988). A Proposed Method for Improving Residential Heating Energy Estimates Based on Billing Data. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /6515.