Research Article
Home Energy Management System to Reduce Unconscious Electricity Consumption
@INPROCEEDINGS{10.1007/978-3-031-37139-4_1, author={Nurkhat Zhakiyev and Yerasyl Amanbek and Aidana Kalakova and Didar Yedilkhan}, title={Home Energy Management System to Reduce Unconscious Electricity Consumption}, proceedings={IoT as a Service. 8th EAI International Conference, IoTaaS 2022, Virtual Event, November 17-18, 2022, Proceedings}, proceedings_a={IOTAAS}, year={2023}, month={7}, keywords={Home Energy Management System (HEMS) IoT Smart Cities Energy Savings Microprocessors Embedded Systems Demand Response Electricity consumption}, doi={10.1007/978-3-031-37139-4_1} }- Nurkhat Zhakiyev
Yerasyl Amanbek
Aidana Kalakova
Didar Yedilkhan
Year: 2023
Home Energy Management System to Reduce Unconscious Electricity Consumption
IOTAAS
Springer
DOI: 10.1007/978-3-031-37139-4_1
Abstract
The energy consumption in the residential area of Kazakhstan is increasing every year. One of the primary causes of excessive electricity demand is unconscious consumption. Therefore, to reduce the demand in residential area “Home Energy Management System” (HEMS) is introduced. This paper offers low-cost energy management system that will reduce electricity consumption in dormitories, homes, and apartments by notifying residents about excessive and unnecessary loads. The proposed system includes an energy meter to monitor real-time consumption of the house, a microprocessor to read data from energy meter and redirect it to cloud server via Wi-Fi module. The system also includes occupancy sensor that detects when a person leaves the house or arrive at the house. By relating the output of the occupancy sensor and energy meter the system sends electronic notification to the resident when some event occurs. As an example, in case, if person forgets to switch off any of the electronic device (lights, TV or even iron) when leaving the house, the HEMS will send a notification to the phone. The results have shown, that users could save up to 8000tg/year on energy consumption.
This paper aims: the rise of awareness regarding electricity consumption to the end user. State of the art technology – load profiling, demand control, Wi-Fi connection.
Reduction of electricity bills for customers. Reducing risks associated with electricity consumption. The energy management system that collects, process and display load data.
