In the field of commercial buildings where energy conservation is strongly promoted, a building energy management system (BEMS) is concerned by the energy managers of the buildings. However, the energy manager cannot overcome the problem called “energy-saving barrier” just by introducing conventional BEMS and visualizing energy consumption. In order to solve this problem, this paper proposes an energy-saving service which utilizes the large amounts of data from the BEMS. The service can suggest some improvements of the operation as well as indicate the return on investment of replacement of facility. The improvements of the operation are almost automatically suggested by using the singularity detection method. The service is applied to the commercial buildings including large, medium and small size. The 5-year experimental results show the usefulness of the proposed service and method.
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