The amount of solar panels is increasing rapidly. Current solar power capacity estimation relies on solar panel owners reporting capacity, which is a slow process. This report presents a method to predict the power capacity of solar panels using the area from two dimensional satellite images. The goal is to show the correlation between these two variables and to quantify it. A data set from Nor...

In this paper, forecasting models were constructed to estimate surface solar radiation on an hourly basis and the solar irradiance received by solar panels at different tilt angles, to enhance the capability of photovoltaic systems by estimating the amount of electricity they generate, thereby improving the reliability of the power they supply. The study site was Tainan in southern Taiwan, whic...

Solar panels have great potential as energy harvesting power sources—they just need batteries to store the harvested power and to provide carry-though during dark periods. Solar panels are relatively expensive, so extracting maximum power from the panels is paramount to minimizing the panel size. The tricky part is a balancing of solar panel size with required power. The characteristics of sola...

This investigation elucidates the mechanical characteristics of geopolymer containing solar panel waste glass. With the SiO2/Na2O molar ratio (S/N = 0.75, 1.0, 1.25, 1.5, 1.75), the percentage of metakaolinite that is replaced by solar panel waste glass (040%), and the curing time of 1, 7, and 28 days as the study variables, the porosity, density, setting time, compressive strength, and flexura...

The impact of soiling on solar panels is an important and well-studied problem in renewable energy sector. In this paper, we present the first convolutional neural network (CNN) based approach for solar panel soiling and defect analysis. Our approach takes an RGB image of solar panel and environmental factors as inputs to predict power loss, soiling localization, and soiling type. In computer v...

This paper deals with the design and execution of a solar tracker system dedicated to the PV conversion panels. The proposed single axis solar tracker device ensures the optimization of the conversion of solar energy into electricity by properly orienting the PV panel in accordance with the real position of the sun. The operation of the experimental model of the device is based on a DC motor in...

Increment of efficiency of solar power system using Dual Axis Sun Tracker (DAST) through PID controller and Light Detecting Resistors (LDR) has been attempted in this paper. The model is simulated in the MATLAB/SIMULINK environment initially. Later in a hardware model is fabricated with the help of four sensors placed in the four sides of the panel to sense the position of the sun and two DC se...

The optimal power generation from a solar power system for a detailed loading and irradiation scenario prevailing at a specific location in India has been determined. Three different types of loads reflecting economic and residential activity at the location has been considered. Daily global and diffuse solar irradiation data corresponding to two different seasons of the year have been used in ...

A novel, lightweight solar panel design is described incorporating the best features from three separate areas of development: 1) advanced solar cells 2) light weight, flexible blanket technology and 3) deploment by inflation. inflatable framing structure or torus within which the panel remains suspended. Development of such an Inflatable Torus Solar Array Technology (ITSAT), is well underway [...