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• Main Authors: Yung-Chun Wen, 温永均
• Other Authors: 胡誌麟
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/bm3kd7

碩士 === 國立中央大學 === 通訊工程學系在職專班 === 106 === In Taiwan, we have faced the lack of energy for a long time in recent decades. To solve this problem, the government has proposed the plan to build more power plants. On the other hand, there is another solution based on the development of the “Demand Response” technology. This technology can support a distributed system that aims to reduce the use of electricity by energy-saving facilities to alleviate the danger of power shortage. The concept of demand has been implemented into industrial power systems —the Home Energy Management System (HEMS). HEMS measures and analyzes the status of home appliances’ energy usage in a house. HEMS uses wired/wires network communications to transmit power consumption information. In order to obtain reference data for optimizing power consumption more efficiently, HEMS uses Internet of Things technologies to provide power information feedback to electric power industry as well as to monitor and control the unloading of power plants more precisely. By deploying HEMS in general users’ home space, the goal of reducing power spikes can be achieved after the collective efforts contributed by all smart-energy houses with HEMS. This thesis proposes an IoT-based HEMS. The design of this system contains several functional devices, including home gateway, ZigBee communication, power meter, and home appliances, thereby forming a small-scaled HEMS environment in smart home space. Based on the proposed system design and implementation, our study in this thesis conducts practical testing and verification. Our study efforts can meet the requirements of home appliance management, mutual communications between home appliances, and unloading control mechanisms, along with the analysis of power usage. Therefore, at peak hours, we can operate various home appliances to stay in minimum energy demand, avoid unnecessary power outages, solve unsatisfactory power consumption, and decrease economic losses. Besides, a friendly energy visualization platform is combined to ease users’ understanding of energy usage and energy conservation.