Maximum Power Point Tracker for Dual-Energy Dryer Harvesting Systems Using Internet of Things

In our modern environment, electrical energy has become the most important resource. However, it has access to many areas of the world, particularly agriculture. As a result, there is a huge need not only to identify alternative energy sources, but also to make them available to each sector of the world. Solar energy could entirely meet the energy needs, yet it is currently the most untapped energy resource. To achieve an alternate method of agriculture product drying system, a dual-energy dryer design employing maximum power points tracker was designed in this research. Solar panels will generate electricity to charge the battery throughout the day, which will subsequently be utilized to power the system, increasing system efficiency. The results of real-time data using Internet of Things show the results of battery performance and battery output loads as well as significant load devices by applying maximum power point tracker as the main mainframe in increasing the performance of the double dryer system. Better output results from this dual drying system at maximum power control. The novelty of the research in this activity shows that the maximum power capture value is more efficient in the dual-energy dryer system and the system performance is higher and more accurate with data obtained through the Internet of Things.