End-Use Load and Consumer Assessment Program. Characterization of commercial load shapes by weather day type.

摘要

Recently, an objective methodology to characterize air masses for a given locale was developed by Kalkstein and Corrigan (1986). This methodology was used to determine which air masses had the greatest potential for high atmospheric concentrations of sulfur dioxide. Referred to as the temporal synoptic index (TSI), this approach uses a combination of principal component analysis (PCA) and cluster analysis to identify days considered to be meteorologically homogenous. The PCA transforms the original set of intercorrelated meteorological variables into a new set of components that are linear combinations of the original variables. This transformation simplifies the amount of data being processed and eliminates the intercorrelations that exist among weather variables. The next step in the methodology is to apply an objective clustering scheme to the most significant of the transformed variables. This application converts the group's days into meteorologically homogeneous clusters. The work presented in this report is the result of an exploratory study of the application of the TSI approach to the analysis of commercial building energy consumption data. In this study, the hourly HVAC consumption data for four commercial buildings, monitored as part of ELCAP, were analyzed for patterns of consumption by weather day types derived from the TSI methodology. 3 refs., 9 figs., 5 tabs.