Abstract
The daily energy demand patterns for 14 department stores located in the five largest cities in Korea are surveyed to establish building-energy load models. Electricity and fuel consumption data are field-measured at one carefully chosen store among the sample stores that best represent the statistical characteristics of the department stores to extract hourly consumption profiles for the electricity, heating, hot water, and cooling loads. The data statistically processed to develop a generic computational model for future applications.
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