Estimates of Refrigerator Loads in Public Housing Based on Metered Consumption Data

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Date Published

January 1, 1998

Abstract

This report describes the monitoring protocol, data analysis methods, and model development process of data collected on the 1997 study of the New York Power Authority’s Energy-Efficient Refrigerator Program. The objective of the 1997 metering study was to achieve a more complete understanding of savings as a function of refrigerator label ratings, occupant effects, indoor and compartment temperatures, and characteristics. A durable six-sensor metering protocol was implemented to collect detailed time-series data on ambient and compartment temperatures, compartment door-opening activities, and power usage. Metering and demographic data were collected and reduced from 120 New YorkCHA apartments. Regression models were developed from this database. These models were then applied to the population of refrigerators removed and installed in New YorkCHA housing in the 1997 project year. Key Conclusions include: refrigerators with automatic defrost have higher occupant consumption per unit of occupant activity than refrigerators with manual defrost; wolume may appear in future studies as a more significant descriptive variable; the regression models can be applied to future program years in New York City, but should not generally be applied to other cities.