scholarly journals Identification and Characterization of Solar cell Defects using Thermal Imaging

2019 ◽  
Vol 8 (4) ◽  
pp. 6064-6068
Keyword(s):  
Solar Cell ◽  
Research Work ◽  
Weather Conditions ◽  
Field Testing ◽  
Photovoltaic System ◽  
Solar Module ◽  
Performance Quality ◽  
And Performance ◽  
Materials Used ◽  
Iv Curves

Solar energy has been a basic need since aware of the energy crises throughout the world. Now the researchers are turning toward solar photovoltaic (PV) power system for future energy needs. However, some drawbacks of the field testing are existing with photovoltaic modules such as cost and heavy dependence on the weather conditions. The problems associated with photovoltaic system are the non-linear supply of power and it leads to complexity in matching the load. The PV solar module produce the nonlinear that changes with the variation in solar irradiance during entire day. Research work is on improving the performance, quality and reducing its cost. Researchers face the challenges in fabrication and materials used and due to this fact its performance decreases. In this paper, a method has been introduced to locate shunts using thermal images. IR inspection is used to observe the location of such shunts. After the electrical testing and measurements of the characteristics, the effect on degradation on solar cell materials from light IV curves and dark IV curves has been depicted. The shunts are isolated and performance is tested again and compare to observe.

Classification of Failures in Photovoltaic Systems using Data Mining Techniques

Big Data ◽  
2016 ◽  
pp. 1347-1366
Author(s):  
Lucía Serrano-Luján ◽  
Jose Manuel Cadenas ◽  
Antonio Urbina
Keyword(s):  
Data Mining ◽  
Environmental Parameters ◽  
Weather Conditions ◽  
Environmental Data ◽  
Photovoltaic System ◽  
Data Mining Techniques ◽  
Learning Techniques ◽  
And Performance ◽  
Using Data ◽  
Bad Weather

Data mining techniques have been used on data collected from a photovoltaic system to predict its generation and performance. Nevertheless, up to date, this computing approach has needed the simultaneous measurement of environmental parameters that are collected by an array of sensors. This chapter presents the application of several computing learning techniques to electrical data in order to detect and classify the occurrence of failures (i.e. shadows, bad weather conditions, etc.) without using environmental data. The results of a 222kWp (CdTe) case study show how the application of computing learning algorithms can be used to improve the management and performance of photovoltaic generators without relying on environmental parameters.

Classification of Failures in Photovoltaic Systems using Data Mining Techniques

2015 ◽  
pp. 300-319 ◽  
Author(s):  
Lucía Serrano-Luján ◽  
Jose Manuel Cadenas ◽  
Antonio Urbina
Keyword(s):  
Data Mining ◽  
Environmental Parameters ◽  
Weather Conditions ◽  
Environmental Data ◽  
Photovoltaic System ◽  
Data Mining Techniques ◽  
Learning Techniques ◽  
And Performance ◽  
Using Data ◽  
Bad Weather

Data mining techniques have been used on data collected from a photovoltaic system to predict its generation and performance. Nevertheless, up to date, this computing approach has needed the simultaneous measurement of environmental parameters that are collected by an array of sensors. This chapter presents the application of several computing learning techniques to electrical data in order to detect and classify the occurrence of failures (i.e. shadows, bad weather conditions, etc.) without using environmental data. The results of a 222kWp (CdTe) case study show how the application of computing learning algorithms can be used to improve the management and performance of photovoltaic generators without relying on environmental parameters.

Sun Intensity and Angle on Efficiency of Solar Cell System

2014 ◽  
Vol 627 ◽  
pp. 182-186
Author(s):  
Bo Wun Huang ◽  
Jung Ge Tseng ◽  
Der Ren Hsiao
Keyword(s):  
Solar Cell ◽  
Solar Energy ◽  
Photovoltaic Effect ◽  
Renewable Resource ◽  
Cell System ◽  
Photovoltaic System ◽  
Output Energy ◽  
Energy Output ◽  
Solar Module ◽  
Available Energy

Sun intensity and angle on efficiency of solar cell System is considered to study. Solar energy is a clean, non-polluting and renewable resource; it uses the photovoltaic effect to convert sunlight into a free and available energy source. However, solar energy output is highly affected by the temperature and intensity of sunlight. As the temperature of the solar module rises, energy output will decrease, if the intensity of sunlight is stronger, there will be more output energy. With adequate heat sink and proper ventilation, a module’s temperature will be decreased, and also increase output energy. This study uses 10 kilowatt grid-connected photovoltaic system and a solar tracker to measure the direction of the sun, to find out the relationship between solar intensity and angle effects on energy output.

scholarly journals Design of a Solar MPP Charge Controller using Mamdani FIS with Generalized Bell-Shaped Membership Function

2019 ◽  
Vol 8 (4) ◽  
pp. 8343-8348
Keyword(s):  
Membership Function ◽  
Fuzzy Logic Controller ◽  
Research Work ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Control Technique ◽  
Operating Voltage ◽  
Maximum Power Point ◽  
Solar Module ◽  
Power Point

This research work proposes an innovative control technique for monitoring the maximum power point of the standalone photovoltaic system fast and precisely at variable solar cell temperature and insolation. In this work, the method uses a Mamdani FIS based fuzzy logic controller which uses bell shaped membership function to track MPPT of the off grid solar module. A sampling process is used to measure the PV array power and voltage that decides an optimal increment of sample which is required to get the optimal operating voltage that permits maximum power tracking. This method provides high accuracy and reliable result around the optimum point. This proposed controller has shown a better performance compare to existing methods with a power conversion efficiency of ~100%. Different steps of designed controller with the proposed method has been shown along with its simulation.

Studies on Improved Silicon Module for Concentration Photovoltaic System

2012 ◽  
Vol 629 ◽  
pp. 536-541
Author(s):  
Jing Jing Liu ◽  
Yang Fan
Keyword(s):  
Experimental Study ◽  
Solar Cell ◽  
Concentration Ratio ◽  
Silicon Solar Cell ◽  
Flat Glass ◽  
Photovoltaic System ◽  
Solar Module ◽  
Optimum Performance ◽  
Module Design ◽  
Module Efficiency

This paper presents the experimental study of an improved PV solar module based on an outdoor point-focus two-axis tracking reflective concentration photovoltaic system in Nanjing. The special improved silicon solar cell was utilized to fabricate the module. Relationship between the concentration ratio and maximum power of the module was illustrated. The results showed that the electricity output was improved by enlarging the illumination on the solar cell through increasing the number of flat-glass mirrors. The optimum performance of concentration photovoltaic system was obtained with 18 mirrors. Nonideal module design and cooling approach may result in the deterioration of silicon module efficiency for higher concentration ratio application.

The Effect of Concentrated Light Intensity on Temperature Coefficient of the InGaP/InGaAs/Ge Triple-Junction Solar Cell

2015 ◽  
Vol 8 (1) ◽  
pp. 106-111 ◽  
Author(s):  
Zilong Wang ◽  
Hua Zhang ◽  
Wei Zhao ◽  
Zhigang Zhou ◽  
Mengxun Chen
Keyword(s):  
Solar Cell ◽  
Light Intensity ◽  
Temperature Dependence ◽  
Temperature Coefficient ◽  
Triple Junction ◽  
Concentration Ratio ◽  
Crystalline Silicon ◽  
Photovoltaic System ◽  
Solar Pv ◽  
Junction Solar Cell

Research on automatic tracking solar concentrator photovoltaic systems has gained increasing attention in developing the solar PV technology. A paraboloidal concentrator with secondary optic is developed for a three-junction GaInP/GalnAs/Ge solar cell. The concentration ratio of this system is 200 and the photovoltaic cell is cooled by the heat pipe. A detailed analysis on the temperature coefficient influence factors of triple-junction solar cell under different high concentrations (75X, 100X, 125X, 150X, 175X and 200X) has been conducted based on the dish-style concentration photovoltaic system. The results show that under high concentrated light intensity, the temperature coefficient of Voc of triple-junction solar cell is increasing as the concentration ratio increases, from -10.84 mV/°C @ 75X growth to -4.73mV/°C @ 200X. At low concentration, the temperature coefficient of Voc increases rapidly, and then increases slowly as the concentration ratio increases. The temperature dependence of η increased from -0.346%/°C @ 75X growth to - 0.103%/°C @ 200X and the temperature dependence of Pmm and FF increased from -0.125 W/°C, -0.35%/°C @ 75X growth to -0.048W/°C, -0.076%/°C @ 200X respectively. It indicated that the temperature coefficient of three-junction GaInP/GalnAs/Ge solar cell is better than that of crystalline silicon cell array under concentrating light intensity.

ANTECEDENTS AND CONSEQUENCES OF ORGANIZATIONAL JUSTICE

2016 ◽  
Vol 12 (02) ◽  
Author(s):  
Reeta Yadav
Keyword(s):  
Job Satisfaction ◽  
Organizational Justice ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Turnover Intentions ◽  
Research Work ◽  
Citizenship Behavior ◽  
Future Research ◽  
Antecedents And Consequences ◽  
And Performance

Employee’s perception regarding fairness in the organization is termed as organizational justice. The objective of this paper is to study the antecedents and consequences of organizational justice on the basis of earlier relevant studies from the period ranging from 1964 to 2015. Previous research identified employee participation, communication, justice climate as the antecedents and trust, job satisfaction, commitment, turnover intentions, organizational citizenship behavior and performance as the consequences of organizational justice. Finding reveals the gaps existing in the literature and gives suggestions for future research work.

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