抄録
A chain store is a group of stores that share central management, have standardized business operation, and spread nationwide or worldwide. Each store has a little different size and equipment, and located in various climate. Therefore, in order to compare and evaluate the power consumption of stores for energy saving, it is needed to reveal a standard and factors affecting power consumption. We conducted a large-scale monitoring experiment using wireless sensor nodes in 1987 convenience stores located in the Tohoku and the Chubu district. First, we show the distribution of average daily power consumption of stores in all area and in selected 10 cities which located in different climate. Next, multivariate regression analysis is applied to the average daily power consumption of refrigerators and air-conditioning systems of stores in the 10 cities. It is shown that a second-order outdoor temperature model can explain for both equipment, and shown that adding humidity term for refrigerators and adding hours of sunshine term to a second-order temperature model improve the accuracy. Finally, evaluation and energy saving methods using the model parameters are proposed.
