Statistical Analysis and Structure Optimization of Large Photovoltaic Module

2010 ◽  
Author(s):  
Ratheesh R. Thankalekshmi ◽  
Qinru Qiu ◽  
K. L. Man
Keyword(s):  
Statistical Analysis ◽  
Structure Optimization ◽  
Photovoltaic Module

Statistical analysis of degradation modes and mechanisms in various thin-film photovoltaic module technologies

2014 ◽  
Author(s):  
Eric Schneller ◽  
Narendra S. Shiradkar ◽  
Camila L. Pereira ◽  
Leandro C. Fonseca ◽  
Neelkanth G. Dhere
Keyword(s):  
Thin Film ◽  
Statistical Analysis ◽  
Photovoltaic Module ◽  
Degradation Modes

scholarly journals EFEITOS DA TEMPERATURA AMBIENTE E DA VELOCIDADE DO VENTO NO DESEMPENHO DE MÓDULOS SOLARES FOTOVOLTAICOS

2019 ◽  
Vol 4 (15) ◽  
pp. 362
Author(s):  
Amaury De Souza ◽  
Ana Paula Garcia Oliveira ◽  
Flavio Aristone ◽  
Vanise Dos Santos Rodrigues ◽  
Gabriel Ozório Linhares Mello
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Ambient Temperature ◽  
Environmental Temperature ◽  
Research Work ◽  
Photovoltaic Module ◽  
Solar Photovoltaic ◽  
Positive Linear Relationship ◽  
Module Prediction ◽  
Positive Linear Relation

EFFECTS OF ENVIRONMENTAL TEMPERATURE AND WIND SPEED IN THE PERFORMANCE OF PHOTOVOLTAIC SOLAR MODULESEFECTOS DE LA TEMPERATURA AMBIENTAL Y LA VELOCIDAD DEL VIENTO EN EL DESEMPEÑO DE LOS MÓDULOS SOLARES FOTOVOLTAICOSRESUMOOs efeitos da temperatura ambiente e da velocidade dos ventos na análise de desempenho de um módulo fotovoltaico solar de silício monocristalino foram analisados em Campo Grande, MS, para o período janeiro a dezembro de 2017. O trabalho de pesquisa foi realizado monitorando a variação da eficiência do módulo em função desses parâmetros. Uma análise estatística é apresentada e o resultado indica que os valores do coeficiente de correlação são 96% e 68% para a temperatura ambiente e para velocidade dos ventos, respectivamente, considerando o nível de confiança de 95%. Os resultados mostram que existe uma forte relação linear positiva entre a eficiência do módulo e a temperatura ambiente, e uma relação linear positiva moderada com a velocidade dos ventos.Palavras-chave: Módulo Fotovoltaico; Predição de Eficiência; Condições Climáticas.ABSTRACTThe effects of ambient temperature and wind velocity on the performance analysis of a monocrystalline silicon solar photovoltaic module were analyzed in Campo Grande, MS, from January to December 2017. The research work was carried out by monitoring the efficiency variation of the module according to these parameters. A statistical analysis is presented and the result indicates that the values of the correlation coefficient are 96% and 68% for the ambient temperature and for wind speed, respectively, considering the 95% confidence level. The results show that there is a strong positive linear relationship between the modulus efficiency and the ambient temperature, and a moderate positive linear relation with the velocity of the winds.Keywords: Photovoltaic Module; Prediction of Efficiency; Climate Conditions.RESUMENLos efectos de la temperatura ambiente y de la velocidad de los vientos en el análisis de desempeño de un módulo fotovoltaico solar de silicio monocristalino fueron analizados en Campo Grande, MS, para el período enero a diciembre de 2017. El trabajo de investigación fue realizado monitoreando la variación de la eficiencia del módulo en función de estos parámetros. Se presenta un análisis estadístico y el resultado indica que los valores del coeficiente de correlación son 96% y 68% para la temperatura ambiente y para la velocidad de los vientos, respectivamente, considerando el nivel de confianza del 95%. Los resultados muestran que existe una fuerte relación lineal positiva entre la eficiencia del módulo y la temperatura ambiente, y una relación lineal positiva moderada con la velocidad de los vientos.Palabras clave: Módulo Fotovoltaico; Predicción de Eficiencia; Condiciones Climáticas.

scholarly journals Geo-information modelling of the insolation level within Ivano-Frankivsk region

2018 ◽  
Vol 27 (2) ◽  
pp. 222-231
Author(s):  
D. Kasiyanchuk ◽  
E. Kuzmenko ◽  
M. Tymkiv ◽  
A. Vitiuk
Keyword(s):  
Statistical Analysis ◽  
Alternative Energy ◽  
Renewable Energy Sources ◽  
European Space Agency ◽  
Energy Sources ◽  
Photovoltaic Module ◽  
Information Analysis ◽  
Specific Point ◽  
Advantages And Disadvantages ◽  
Alternative Energy Sources

Use of alternative energy sources is one of the promising directions in economic and environmental development of any territory. The purpose of this article is to conduct geo-information analysis of the insolation level within Ivano-Frankivsk region located in the western part of Ukraine. When considering any research territory, it is worth conducting a factorial analysis, which gives the possibility to characterize any advantages and disadvantages of the use of alternative energy. Justification of approaches to the study of territories where alternative energy sources are located or generated is needed to create a unified system for assessment of the potential of the renewable energy sources. Ac- cording to data of the European Space Agency, the insolation level on the research territory varies from 1175 to 1425 kW/hour* sq. m/per day. The method of our research involves the statistical analysis of the insolation level and the factor approach to determining the existing level of insolation Insolation values, meteorological and geomorphological factor characteristics are used to substantiate the new methodology for calculating the existing insolation level. According to the statistical analysis and geo-information analysis, this reasonably permits us to structure months by the level of insolation as well as to calculate the insolation level at a specific point for a certain time of year. Taking into account the angle of inclination above the horizon – the Sun’s declination, the slope exposure – the Sun’s azimuth gives us the possibility to reduce the value of the relief point with its selected factor characteristics and the insolation value to the single coefficients, which permits us to clarify the information as to the insolation level of the selected region. Finally, this is resulted in creation of a map with the isolation levels for Ivano-Frankivsk region taking into account the factor characteristics. The map represents the changing of the insolation level for seven grouped months. It should be noted that insolation level is uneven and it is characterized by the widest gradation within the territories with complex relief. In that event, the optimal angle of solar photovoltaic module inclination equals 49° within Ivano-Frankivsk region. Such structuring clearly reflects the dynamics of changes in the insolation level for an individually selected zone. The scientific novelty of the obtained results is assessment of distribution of the solar energy potential required for further selection of areas to design and locate the solar power stations. The practical significance lies in obtaining the digital cartographic materials which allow assessment of the insolation value at a specific point in the studied region. Structuring of the insolation maps gives the possibility for further development of a unified insolation assessment scheme that is convenient for any user.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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