Study on the Recognition Methods for Water Fountain Usage Behavior Based on Smart Meter Data
Regenerative water fountain,as a common appliance in buildings,has to be continuously heated to keep water temperature when no one is taking hot water.The water fountain usage behaviors include volume of hot water taken and the time when taking hot water.If the fountain can be shut down through the identification of non-water-taken time based on the water fountain usage behaviors,power consumption used for water heating during standby time can be reduced,realizing energy saving.However,it is difficult to recognize the water fountain usage behavior directly and continuously.Therefore,we developed a behavior recognition algorithm for water fountains based on smart meter power monitoring.The algorithm uses the power data of the water fountain measured and recognize the water fountain usage behaviors through the heat transfer model.The heat transfer model is the core of the recognition algorithm,and this study used Bayesian Calibration methods to calibrate and validate the heat transfer model of the water fountain.This study tested three real cases by establishing three water fountain heat transfer models to recognize the usage behaviors.The recognition error of daily water usage ranges from 0.1 L to 0.6 L,and the error of daily number of water-taken behaviors ranges from 0.2 to 4.The proposed behavior recognition method can provide reference for the recognition of usage behavior of heaters and other regenerative heating devices and guidance for the smart control of small-scale flexible adjustment equipment based on the recognized usage behaviors.
occupant behavior recognitionhot water usage behaviorsmart meterbayesian calibrationheat transfer modeling
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