Preliminary investigations on two different procedures to calculate the efficiency and performance ratio of PV modules

2018 ◽  
Vol 16 (9) ◽  
pp. 5171-5176 ◽  
Author(s):  
T. Ozden ◽  
B. G. Akinoglu
Keyword(s):  
Performance Ratio ◽  
Pv Modules ◽  
And Performance

scholarly journals Supercapacitor based PV measurement technique − quality assessment with poly-Si PV modules at IIEST, Kolkata

2019 ◽  
Vol 10 ◽  
pp. 9
Author(s):  
Sudipta Basu Pal ◽  
Rahul Kumar ◽  
Konika Das Bhattacharya ◽  
Dipankar Mukherjee ◽  
Debkalyan Paul
Keyword(s):  
Fill Factor ◽  
Quality Parameters ◽  
Performance Ratio ◽  
Electrical Parameters ◽  
Pv Panel ◽  
Pv Modules ◽  
Cell Modules ◽  
Commercial Testing ◽  
And Performance ◽  
First Time

Supercapacitors have been used for the first time as load to PV cell/modules for characterizing their behavior. In this paper, a novel and essentially simple design of a V–I plotter is attempted with a bank of super capacitors (SC) as the load to the PV modules of varying capacities. The distinct advantages of the SC's over the erstwhile capacitors have been comparatively experimented. Finally, an elaborate regression analysis (RA) of principal electrical parameters have yielded consistently high values exceeding 0.993 experimental evaluation of quality parameters like fill-factor (FF) and performance ratio (PR) have yielded a range of 70–79% while PR values frequently ranges from 90% to 99%. Suitability of poly-Si PV modules at the level of PV panel configurations have been ascertained through experimental estimate of series and parallel relative power loss (RPL) values. Typical values below 2% obtained for widely varying climatic level is also a quality indicator for the new metrology in question. Such a prototype I–V plotter is expected to be duly considered for commercial testing applications in PV industries.

Comparative Analysis of Crystalline and Double-Junction Amorphous Silicon Modules Performance in Outdoor Conditions

2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Cristina Cornaro ◽  
Davide Musella
Keyword(s):  
Amorphous Silicon ◽  
Weather Conditions ◽  
Outdoor Exposure ◽  
Complete Characterization ◽  
Performance Comparison ◽  
Performance Ratio ◽  
Energy Yield ◽  
Pv Modules ◽  
Double Junction ◽  
And Performance

The paper deals with an extensive photovoltaic (PV) modules monitoring activity carried out at the outdoor station ESTER (Solar Energy TEst and Research) of the University of Rome Tor Vergata, Italy. The purpose of the work was to evaluate and compare the performance of PV silicon modules of polycrystalline (poli-Si) and amorphous (a-Si) technologies during a medium-term outdoor exposure at optimized tilt angle, facing south. Two PV modules, one polycrystalline silicon and one double-junction amorphous silicon, have been exposed since May 2009 until Oct. 2010. A complete characterization of the weather conditions at the site during the test has been performed, and the most relevant parameters for the performance comparison of the two technologies have been derived. In order to compare different technologies and power productions, the energy yield (Y) and performance ratio (PR) for the two modules have been evaluated on a monthly and yearly basis. The typical seasonal trend of PR has been observed for the polycrystalline module, essentially due to the temperature influence on the module performance. For the a-Si module, instead, a degradation trend has been observed for the first months of operation. Subsequently, a significant recovery in the PR and energy production has been registered.

scholarly journals New PV Metrology for performance appraisal of PolySilicon PV Modules in Eastern Indian climatic Zone

2021 ◽  
Vol 19 ◽  
pp. 333-337
Author(s):  
Debasish Majumdar ◽  
◽  
Sudipta Basu Pal ◽  
Rajiv Ganguly
Keyword(s):  
Performance Appraisal ◽  
Indian Subcontinent ◽  
Electrical Characterization ◽  
Building Blocks ◽  
Field Trials ◽  
Performance Ratio ◽  
Pv Modules ◽  
Indian Climatic ◽  
And Performance ◽  
Indian Industries

An appropriate number of series-connected supercapacitors (SC) forming an SC bank has been used for the first time as the load to PV generators in course of their electrical characterization. Exhaustive estimates of standard PV parameters along with figures of merits like Fill-factor(FF) and performance ratio(PR) have yielded consistent results under naturally varying levels of insolation and ambient temperature prevalent in West Bengal of India. Regression analysis of selected PV parameters has indicated values above 0.997 for poly-Si PV modules which currently constitute the only essential building blocks for PV arrays in the Indian subcontinent. Work is in progress for the adoption of this simple, user-friendly, and easily scalable I-V plotter in PV Indian industries and field trials.

Artificial intelligence technique for estimating PV modules performance ratio under outdoor operating conditions

2018 ◽  
Vol 10 (5) ◽  
pp. 053505 ◽  
Author(s):  
Alain K. Tossa ◽  
Y. M. Soro ◽  
Y. Coulibaly ◽  
Y. Azoumah ◽  
Anne Migan-Dubois ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Operating Conditions ◽  
Performance Ratio ◽  
Artificial Intelligence Technique ◽  
Pv Modules ◽  
Intelligence Technique

scholarly journals A study on the reliability and performance of solar powered street lighting systems

2017 ◽  
Vol 5 (2) ◽  
pp. 110 ◽  
Author(s):  
Adebayo Fashina ◽  
Salifu Azeko ◽  
Joseph Asare ◽  
Chukwuemeka Ani ◽  
Vitalis Anye ◽  
...  
Keyword(s):  
Performance Indicators ◽  
Performance Ratio ◽  
Energy Yield ◽  
Street Lighting ◽  
Technical Performance ◽  
Humid Environment ◽  
Total Failure ◽  
Lighting Systems ◽  
And Performance ◽  
Solar Powered

This paper presents the results of a study on the reliability and performance of the solar-powered street lighting systems installed at the African University of Science and Technology (AUST) in Nigeria, a hot and humid environment. The technical performance of the systems was studied using the following performance indicators: system energy yield, capture loss, as well as the system performance ratio while the reliability of the systems was examined using a model developed from the findings from the maintenance and fault diagnosis of the systems. The model was used to predict the total failure and survival probability of the systems using the Weibull distribution. The performance evaluation during the monitored period (February 2012 to January 2015) indicated that the performance ratios of the systems vary from 70% to 89% and the energy yields of the systems ranging from 2.87 h/day to 5.57 h/day. The results from the reliability analysis also showed that when the stress concentration factor around the notch between the cable terminals in the charge controller increases, the charge controller will become overheated, which in turn affected other components of the systems. The implications of this study are also discussed for the design and development of future solar-powered street lighting systems.

The Classification System of Literary Works Based on K-Means Clustering

2021 ◽  
pp. 2141001
Author(s):  
Sanqiang Wei ◽  
Hongxia Hou ◽  
Hua Sun ◽  
Wei Li ◽  
Wenxia Song
Keyword(s):  
Clustering Algorithm ◽  
Performance Ratio ◽  
Levels Of Abstraction ◽  
Text Documents ◽  
Text Data ◽  
Literary Works ◽  
Accuracy Comparison ◽  
Word Classification ◽  
Text Features ◽  
And Performance

The plots in certain literary works are very complicated and hinder readers from understanding them. Therefore tools should be proposed to support readers; comprehension of complex literary works supports their understanding by providing the most important information to readers. A human reader must capture multiple levels of abstraction and meaning to formulate an understanding of a document. Hence, in this paper, an Improved [Formula: see text]-means clustering algorithm (IKCA) has been proposed for literary word classification. For text data, the words that can express exact semantic in a class are generally better features. This paper uses the proposed technique to capture numerous cluster centroids for every class and then select the high-frequency words in centroids the text features for classification. Furthermore, neural networks have been used to classify text documents and [Formula: see text]-mean to cluster text documents. To develop the model based on unsupervised and supervised techniques to meet and identify the similarity between documents. The numerical results show that the suggested model will enhance to increases quality comparison of the existing Algorithm and [Formula: see text]-means algorithm, accuracy comparison of ALA and IKCA (95.2%), time is taken for clustering is less than 2 hours, success rate (97.4%) and performance ratio (98.1%).

Advanced SuDoKu Based Reconfiguration Strategies for Maximum Power Extraction from Partially Shaded Solar PV Array

2021 ◽  
pp. 1-33
Author(s):  
Shahroz Anjum ◽  
Vivekananda Mukherjee ◽  
Gitanjali Mehta
Keyword(s):  
Individual Performance ◽  
Maximum Power ◽  
Performance Ratio ◽  
Global Maximum ◽  
Solar Pv ◽  
Partial Shading ◽  
Power Extraction ◽  
Pv Array ◽  
And Performance ◽  
Shading Effects

Abstract Individual performance of photovoltaic (PV) modules is contravened by mismatch losses which results in blockage in most of the solar power generated by the PV array (PVA). Partial shading conditions (PSCs) are the main causes of these losses. Several techniques have been discussed to reduce the issues caused by PSCs. Reconfiguration techniques have been proven to be one of the most successful methods that help towards this cause. In this method, the location of PV module (PVM) in the PVA is reconfigured so that the shading effects get distributed throughout the entire array and, hence, maximizing the power output. Two novel reconfiguration patterns such as canonical SuDoKu (CS) and multi diagonal SuDoKu (MDS) for total cross tied (TCT) configuration have been put forth in this manuscript. This approach aims to rearrange the PVMs in the TCT array as per the fed in patterns without causing a change in the internal electrical connections. Further parts of the manuscript focus on the comparison of the proposed pattern's performance with other pre-existing PVA arrangements such as, TCT, SuDoKu, optimal SuDoKu (OS) and modified SuDoku (MS) by taking into account the effects of global maximum power (GMP) point, mismatch power loss, fill factor and performance ratio. The results obtained from the detailed analysis presented in this paper gives proper evidence that, in many cases, the GMP is amplified in the CS and, in all cases, GMP is amplified in the proposed MDS PVA under different shading conditions.

Sizing Software of a Solar Farm System

2015 ◽  
Vol 785 ◽  
pp. 611-615
Author(s):  
Nuril Yaqin Ab Rahim ◽  
Shahril Irwan Sulaiman ◽  
Zulkifli Othman
Keyword(s):  
Performance Ratio ◽  
Specific Yield ◽  
Array Configuration ◽  
Pv Module ◽  
Planning Procedure ◽  
In Series ◽  
Final Yield ◽  
Tariff Rates ◽  
And Performance ◽  
Farm System

This paper presents sizing software for the design of a solar farm system. The sizing software provides few guidelines to the designer for the planning procedure before the final of optimum array configuration is decided. Some specifications that the designer may consider are the type of PV module, the type of inverter, the available space for installation, the required energy per year and also the sum of money to be allocated for the instalment. The output result of this software will be the suggestion of possible configuration of the total number of modules in series per string with the total number of strings in parallel. This software also does the prediction of the system performances such as final yield, specific yield and performance ratio. The expected income is provided by the software is based on the Feed-in Tariff rates and the energy generated by the system.

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