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Monitoring of iot-based Wind and Solar Hybrid Power Plants for Agricultural Irrigation Systems Prasetiyo, Budhi; Widyaningsih, Wiwik Purwati; H, Yusuf Dewantoro; Suwarti, Suwarti
Eksergi Vol. 18 No. 3 (2022): SEPTEMBER 2022
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/eksergi.v18i3.3892

Abstract

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 Wahyono, Wahyono; Suwarti, Suwarti; H, Yusuf Dewantoro; Citraningtyas, Dita Putri; Ardiansyah, Muhammad Ridho; Cahyani, Regita Fitri; Prihartini, Retno; Pangestu, Wisnu
Eksergi Vol. 18 No. 3 (2022): SEPTEMBER 2022
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/eksergi.v18i3.3910

Abstract

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%.
Analysis of The Utilization of Solar Panels as Pump Crusters Automatically in Fish Pond Farming Suwarti, Suwarti; H, Yusuf Dewantoro; Su'udy, Ahmad Hamim; Prasetyo, Budhi; Margana, Margana; W, Wiwik Purwati; Supriyo, Supriyo
Eksergi Vol. 19 No. 01 (2023): JANUARY 2023
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/eksergi.v19i01.4246

Abstract

Abstract”” The purpose of making this final task is to apply the solar power system as a source of electrical energy to move the water pump automatically in fish ponds. This system works automatically with the Water Level Control tool sensor (WLC), so that if the water level drops or rises then the water pump will automatically work. On this automated system use the Smart Relay SR2B121BD and the ZelioSoft 2 application.  Data retrieval carried out at 10.00 -14.00 WIB, obtained data pumps 1 and 2 for a height of 1 cm for 30 minutes and a height of 2 cm for 70 minutes. The amount of discharge the pump produces 1 and 2 ranges from 37 L/M to 45 L/M.    Pump 1 Test results obtained an average efficiency of 7.68%, with the highest efficiency of 11.03% and the lowest efficiency of 5.26%, while the average pump efficiency of 2, 7.05% with the highest efficiency of 10.66% and the lowest efficiency of 5.41%. The average efficiency of the solar panels is 11.20% with the highest efficiency of 14.60% and the lowest efficiency of 7.29%.