Monitoring of iot-based Wind and Solar Hybrid Power Plants for Agricultural Irrigation Systems

The use of renewable energy, one of which is Hybrid Power Plants  (PLTH). The PLTH used in this study is a wind and solar power plant. To keep the plant from being damaged and prevent a decrease in tool performance, PLTH was developed based on the Internet of Things (IoT).  IoT will later monitor the performance of the plant.  In this study using the ESP32 TTGO SIM800L microcontroller, the sensors used were DC voltage sensors, current sensors (ACS712), wind speed sensors (anemometers), wind direction sensors (wind vanes), and water flow sensors.  The research began with designing the relationship between components, working on monitoring and programming systems on software, installing outdoor sensors and installing monitoring systems, and ending with data observations.   The results  obtained on the observation of data, the best error percentage values  are presented by various sensors with values less than 6%

Dual Axis Solar Tracker System Application Based on Arduino Atmega 2560 and Internet of Things (iot) for Submersible Pump Operation

Most of the Solar Power Plants (PLTS) still use a static system which is considered less effective in absorbing solar energy. This is due to the earth's rotation which causes the sun to not always be in the same position. In order to optimize the absorption of solar energy so that the power produced is stable and maximum, a tracking system is applied to the solar panels. This tool works by using 4 LDR sensors and 2 DC Power Window motors as the driving force and the presence of Wi-Fi as a communication medium between the Arduino ATmega 2560 and the Android application so that the performance of the solar tracker can be monitored via a smartphone in real time. The purpose of this research is to optimize the efficiency of solar panels. The method used in this research is Research and Development (R&D). The test was carried out with the Dual Axis Solar Tracker system against a load in the form of a submersible pump. The test results show the average efficiency of the Dual Axis Solar Tracker system is 20.89% with an average power output of 84.81%