Design and implementation of home assistant based on Raspberry Pi for home energy management

Oii, Shen Zhuang (2022) Design and implementation of home assistant based on Raspberry Pi for home energy management. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Home automation is a well-known solution for home daily activities that might be operated by the development of Internet of Things (IoT) to connect the technology between human and the home appliances. Due to the current Covid-19 pandemic situation and the climate change that happened in the country, these situations had led to a surge in the energy consumption from the household and hence motivated the project implementation to improve the home energy management. To carry out the project implementation, the objectives that had been identified were to identify the suitable script integration for the home activities that can be introduced in the Home Assistant as a home automation hub, to design and implement the Home Assistant based on Raspberry Pi for home energy management, and lastly to analyse the Home Assistant accuracy on monitoring energy consumption and controlling smart devices. For the implementation, Python coding was chosen as the script to integrate the system while Linux was selected as the operating system. Besides, Raspberry Pi 4 Model B, Amazon Alexa, proximity sensor, RF bridge, Sonoff switch, and Shelly 3EM were chosen as the hardware to implement the project in order to perform the task and the demand. For this project, Home Assistant was used as the open-source software to run the script for the home automation system for the house. At the same time, energy dashboard of the Home Assistant was used to analyse the energy usage as well as integrating Shelly 3EM into the distribution box and hence compare the analysis with the readings from the smart meter in the site. For the conclusion, all the objectives were achieved but the performance of the project on the analysis of Home Assistant on monitoring the energy consumption and controlling the smart devices can be enhanced for further development.

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