Smart Home Energy Management System Design with Embedded Electric Vehicle Charging Station Using Renewable Energy Sources | ||||
| The International Undergraduate Research Conference | ||||
| Volume 5, Issue 5, 2021, Page 441-446 PDF (1.03 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iugrc.2021.246401 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ahmed Emad AbdUlluh Muhammad; Mahmoud Abdo Muhammad Abd El-Wadood; Ahmed Ibrahim Abdel Rahman Ahmed; Osama Mohamed Mohamed Moawad; Mohamed Hussein Zaki Hussein; Mohamed Tarek Mohamed; Mohamed El Sayed Lotfy | ||||
| Zagazig, Egypt. | ||||
| Abstract | ||||
| A novel design for smart home energy management system is presented in this graduation project. Raspberry pi 4 B is used as main controller. The main aim is to control all the home appliances remotely in a secure and emission free methodology. This target is reached using Cayenne which is an IoT platform in addition to building some codes related to some appliances and sensors not supported in Cayenne from scratch. A real three rooms and reception prototype for smart home is implemented. The control methodology consists of sensing temperature, air pressure, and humidity inside the home and depending on that, controlling all the home appliances. Moreover, PIR sensors are implemented and connected to Raspberry pi Cam which allows the owner to check the status of the home as a live stream in case of any motion detected. Door lock is also controlled remotely. Due to COVID 19, a body temperature sensor is used to check visitor temperature in front of the home door. In addition to all of this, the smart home management system controls a charging point for electric vehicle via Raspberry pi. Moreover, disables convenience is considered by using Amazon Echo Dot (Alexa) to control home appliances and the charging point by voice with implementing the associated code for connecting the Raspberry pi with Alexa from scratch. At the end, All the home appliances are fed from a complete off-grid solar system to reach the main target of a sustainable, green, and emission-free smart home. | ||||
| Keywords | ||||
| SMART HOME; ENERGY MANAGEMENT; IOT; ELECTRIC VEHICLE; SOLAR SYSTEM; COVID 19 | ||||
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