A methodology is developed to evaluate residential energy
cost reduction options in response to increasing concern over
rising fuel costs and diminishing energy reserves. Energy use
factors such as climate and local geographic features are
identified and energy monitoring techniques are proposed.
A flexible, computer-based decision and risk analysis tool
is developed as a tool for the economic comparison of energy
saving options. Single- and multi-variable sensitivity analysis is
performed. A multi-criteria optimization method is presented
which includes performance and cost factors. An efficient
HV AC control program is developed using multiple sensors and
fully automatic control.
Finally, a case study of two energy saving alternatives is
conducted for two cities in different climatic regions. The
results show that the desirability of various energy saving
options is a function of local climate conditions, rate of energy
cost increase and predicted savings attributable to the options.
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