Commercial buildings account for approximately 36% of US electricity
consumption, of which nearly two-thirds is met by fossil fuels [1] resulting in
an adverse impact on the environment. Reducing this impact requires improving
energy efficiency and lowering energy consumption. Most existing studies focus
on designing methods to regulate and reduce HVAC and lighting energy
consumption. However, few studies have focused on the control of occupant
plugload energy consumption. In this study, we conducted multiple experiments
to analyze changes in occupant plugload energy consumption due to monetary
incentives and/or feedback. The experiments were performed in government office
and university buildings at NASA Research Park located in Moffett Field, CA.
Analysis of the data reveal significant plugload energy reduction can be
achieved via feedback and/or incentive mechanisms. Autoregressive models are
used to predict expected plugload savings in the presence of exogenous
variables. The results of this study suggest that occupant-in-the-loop control
architectures have the potential to reduce energy consumption and hence lower
the carbon footprint of commercial buildings.Comment: 20 pages, 15 figures, 4 tables, preprin