IOT-based smart energy meter / Mohamad Azhar Bin Amley.

Faculty of Electrical & Electronics Engineering

Project Paper (Bachelor of Electrical Engineering (Hons.) (Electrical)) -- Universiti Malaysia Pahang – 2016

During this era of Industrial Revolution 4.0, the statistic of household appliances has drastically showing huge different of number in the recent years. This has made the consumption and demand for electricity increased time by time. Because of the diminishing the energy resources, a solution is needed to assist in tracking, measuring, and controlling electricity consumption. Due to the fact that conventional energy metres do not provide information on power usage at the system level, users are unable to track or log the amount of electricity used by individual appliances. To close the data gap on system energy usage, we propose investigating, implementing, and designing an Internet of Things enabled, minimalistic, cost-effective, and reliable smart energy metre that will assist consumers in obtaining information on their electrical appliance's energy consumption. This would not only assist customers in ensuring that their devices operate at the recommended energy consumption level. This will also make it simpler for them to access historical energy expenditure trends, which would lead to increased knowledge and conscious energy conservation. This system enables the users obtain their monthly consumption that has been calculated using TNB’s tariffs and also the electricity utilities organization able to obtain the meter’s reading monthly without their workers visiting each user’s house. This can be accomplished through the use of a IoT-Based smart energy meter module unit that continuously monitors and records energy meter readings in its permanent memory. This system continuously records the readings and, upon request, the consumer can view the live meter readings on a webpage smart phone or tablet. In the designed system, SDM230 digital energy meter is used as the input to measure and collecting the single phase electrical loads parameters and to be sent to the ESP32 microcontroller by using MODBUS RTU to TTL conversion. After the data sent, the microcontroller will calculate the monthly bill by using the energy data received. These data are sent again to the Blynk server by using Wi-Fi connection, and displayed on the user’s smartphone or the utilities provider.