Design and Development of IoT Oriented Solar Powered Smart Home Controlling Mechanism
R. Tamezheneal, K. Kajendran, J.C. Vinitha, S. Hemalatha, K.B. Aruna, V. Samuthira Pandi
Abstract
This research study addresses the need for renewable energy in residence by discussing the development and building of a solar assisted automation system for homes equipped with a wireless Internet of Things (IoT) enabled technology. The photovoltaic array powers the intelligent home using a highly efficient Maximum Power Point Tracking (MPPT) control system. The research's design, analysis, and methodology are all presented here, along with the study's findings on the market. The primary building blocks of a solar UPS are a solar panel and a custom-designed inverter circuit. The inverter circuit was designed in accordance with solar panel specs and requirements. Many other circuits served as inspiration for the present circuit's redesign. The development experts of currently available backup power supplies have also been consulted in order to plan for prospective replacements should a component fail or become unavailable. In this post, we'll look at some of the several ways a solar-powered UPS may be built and how its features might work. This suggests that solar UPSs may soon be able to compete with and even outperform their electrical counterparts. The key components of the design are an outside solar panel equipped with solar cells to convert solar energy towards electrical power and a power conversion circuit to convert the DC current into AC current for usage in household appliances. Two Energy throw electrical parts and one Arduino UNO controller with sensors were used in the development of this prototype automation system. In this paper, we propose developing and implementing a residence energy control system to help individuals and families keep tabs on their energy consumption and adjust their habits accordingly. The purpose of this project is to design, develop, and implement a residential energy optimization system that enables sensing, control, and intelligent algorithms to help clients learn more about and control their consumption of energy.