Abstract
The authors have advanced the development of a calculating method for the time series loads of cold and hot water consumption by the Monte Carlo simulation technique. The purpose of this study is to obtain the fundamental data of the hot water consumption in the restaurants. The measurements of hot water consumption were carried out in 7 restaurants in each season. As for the measurement data, the time series loads of hot water consumption were analyzed. As the results, the relationships between the daily hot water consumption and number of customers were clarified. The fluctuation patterns of the hourly hot water consumption were classified into 3 types by cluster analysis. Finally, by using the measurement data which recorded by the interval of 2 seconds, calculation models of hot water consumption were proposed in each restaurant.
