Computer-based solar tracking system for PV energy yield improvement

Abstract

<jats:p>&lt;p&gt;Electric energy is the main driver of various daily activities, both to increase productivity as well as to improve life quality. Energy demand is continuously increasing in parallel to the progress in technology and population growth. Depletion of fossil energy sources and awareness of environmental protection make people resort to renewable energy sources like solar energy. Low efficiency and intermittent characteristic of solar energy may originate from the sun movement along the day as well as the year. Efforts have always been tried to deal with the drawbacks. This paper proposes a computer-based tracking system to fully monitor and control a solar panel movement. The designed system has proven a good performance of working at certain time intervals, either hourly, or even continuously, as desired. Energy yield improvement has been achieved by processing the tracking results with the help of a microcontroller to optimize the power generation of the solar panel.&lt;/p&gt;</jats:p>

Microcontroller based dual energy Moringa leaf dryer design and development

“…The components used to overcome these problems include solar panels, buck-boost converter, load control circuit, Johnson DC gear motor (20 rpm), Arduino, temperature and humidity sensor (DHT11), humidity sensor, dual-channel 5 V relay, L298N circuit H-bridge motor driver, heating element, DC fan, conveyor belt, circuit board, and jumper cable. The simple dual-energy solar-powered automatic Moringa leaf dryer is designed to dry Moringa leaves effectively and quickly [22]- [26]. The dryer has a simple architecture that makes it easy to assemble and disassemble components.…”

Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266

“…A PV monitoring system's goal is to provide accurate data on a variety of parameters, including energy potential, energy extracted, fault identification, historical generation analysis, and associated energy losses [14], [25]. The literature has detailed descriptions of the classification of PV monitoring systems based on internet technologies, the data acquisition system used, and the monitoring system methods [16], [26]- [29].…”