نظام مؤتمت لإدارة استهلاك الطاقة الكهربائية وفق مبدأ الشرائح.
Keywords:
Consumption Amount,Telegram Bot,NTP,Rationalization of electric power consumption,Load Management.Abstract
Managing energy consumption—especially given population growth and resource scarcity—is essential for reducing consumer bills, ensuring the stability of energy systems, and promoting energy efficiency.
The residential sector in Syria is among the largest consumers of electricity, compared to agriculture, industry, and government agencies. Residential consumption accounts for approximately 59% of total electricity consumption. This underscores the need for effective energy management in this sector to create a balance between supply and demand, that is, between energy production and consumption. This research involved designing and implementing an automated energy consumption management system based on a tiered pricing model in a house in Tartous. The system monitors the house's energy consumption using a series of sensors. It alerts the consumer via Telegram when the consumption reaches 90% of the first consumption tier and warns them when they enter a new tier, along with the corresponding kilowatt-hour price. The system also controls high-consumption loads (the electric water heater in this case) by adjusting operating hours to suit seasonal fluctuations (i.e., ambient temperature). The timing and date were set using a Node MCU chip based on the Internet Time Protocol (NTP), which features automatic synchronization with Coordinated Universal Time (UTC) via Wi-Fi. Its high accuracy contributes to optimal monitoring and control results.
Energy consumption was monitored for one year before system installation and compared to consumption for one year after installation. The results showed that the system was able to inform the consumer of their consumption before entering a new tier, resulting in a 3.6% reduction in electricity consumption and an 11.5% reduction in the consumer's electricity bill.