An automatic energy saving strategy for a water dispenser based on user behavior

地铁列车时刻表 能源消耗 用水量 消费(社会学) 计算机科学 模式(计算机接口) 水冷 实时计算 模拟 汽车工程 工艺工程 工程类 废物管理 电气工程 机械工程 操作系统 社会科学 社会学
作者
Shuo‐Yan Chou,Anindhita Dewabharata,Yudhistira C. Bayu,Ray-Guang Cheng,Ferani E. Zulvia
出处
期刊:Advanced Engineering Informatics [Elsevier BV]
卷期号:51: 101503-101503 被引量:7
标识
DOI:10.1016/j.aei.2021.101503
摘要

Nowadays, numerous public buildings provide water dispensers to supply drinking water which causes more energy consumption. A typical water dispenser periodically heats and cools the water to ensure that hot, warm, and cold water are always available for the user. However, this mechanism is inefficient because the users do not request hot and cool water continuously. Ideally, the boiling and cooling schedule should follow the demand pattern to save electricity consumption. When no demand, a water dispenser can enter a sleep mode. Therefore, this study presents an automatic energy-saving strategy for a water dispenser based on user behavior. The proposed system allows the water dispenser to automatically determine the appropriate time to heat, boil, and enter sleep mode based on user behavior. The proposed control strategy involves several steps. First, it collects historical data, analyzes water consumption behavior. The sensors installed in the water dispenser collect water consumption data. Second, this study applies Recurrent Neural Networks with Long-Short Term Memory to predict future water consumption. Finally, the proposed system utilizes the prediction result to determine heating, cooling, and sleep mode schedule. This study uses a water dispenser on a university campus as a prototype to test the proposed system. The effectiveness of the proposed system is measured by two factors, namely electricity consumption, and customer satisfaction. These two parameters are chosen because the proposed system should reduce electricity consumption while maintaining hot and cold water availability whenever needed. According to the simulation results, the proposed controlling strategy can reduce electricity consumption up to 28% monthly while maintaining a service level of 97%. This result shows that the proposed system is a good control system for water dispensers. By applying this controlling system, public buildings could reduce their energy bills without sacrificing their provision of drinking water.
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