Real Time Energy Data Monitoring Model for Integrated Renewable Energy System with other Collaborative Energy Supply

Abstract

The concept of integrated renewable energy has been a necessity for our fast-growing economies. However, most of the experimented integrated systems are facing large data management problems and this necessitates the need for smart configuration with Internet of Things (IOT). On an estate with houses that operate independent power systems, this research designed and implemented a 24-hour simulation of an integrated system that employed big data techniques for monitoring and controlling real time energy data from collaborative supplies with load priority selection options. It used Proteus software, Arduino uno, android app designed with HTML, CSS and JavaScript, and the web-based designed with PHP, MongoDB and JavaScript. Within a 3-hour schedule, the system underwent energy and load priority check to select preferred supply and suitable load. The operational level was displayed on both a mobile device and a hardware panel. Further research will be physical implementation.