Analysis of the Spatiotemporal Characteristics of High Concentrator Photovoltaics Energy Yield and Performance Ratio

2017 ◽  
Vol 7 (1) ◽  
pp. 359-366 ◽  
Author(s):  
Jose A. Ruiz-Arias ◽  
Eduardo F. Fernandez ◽  
Alvaro Linares-Rodriguez ◽  
Florencia Almonacid
2017 ◽  
Vol 5 (2) ◽  
pp. 110 ◽  
Author(s):  
Adebayo Fashina ◽  
Salifu Azeko ◽  
Joseph Asare ◽  
Chukwuemeka Ani ◽  
Vitalis Anye ◽  
...  

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.


2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Cristina Cornaro ◽  
Davide Musella

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.


Author(s):  
M. Aravindan ◽  
V. Balaji ◽  
V. Saravanan ◽  
M. Arumugam

This manuscript reports the monitored performance results of roof top solar photovoltaic (PV) power plants in different parts of Tamilnadu, India. In this work, PV plants of capacities 84 kWp and 18 kWp located at Tirunelveli and Ranipet respectively in Tamilnadu are considered. During an eight month period, of September 2014 to April 2015, these plants had generated 43.99 MWh and 15.55 MWh units of electricity respectively. The average electricity production per day for the considered period of these plants is 181.74 kWh and 62.81 kWh respectively. The performance ratio (PR) of these plants PV1 and PV2 is found to be 0.52 and 0.86 respectively. The characteristics of poly crystalline PV modules and the performance of employed photovoltaic inverters are also analyzed.It is observed that external conditions like climate and bad weather significantly reduces the PV system output, whereas it reduces marginally due to inverter failure as observed from the values of energy yield and performance ratio of these plants. Online monitoring of PV plant with DC/AC line and phase voltages and current waveforms observed for the given day are also presented.


2016 ◽  
Vol 138 (5) ◽  
Author(s):  
Birinchi Bora ◽  
O. S. Sastry ◽  
Arun Kumar ◽  
Renu ◽  
Manander Bangar ◽  
...  

In this paper, a performance evaluation technique using most frequent conditions (MFC) for accurate design of photovoltaic systems, based on energy rating and site-specific standards is reported. Most frequent conditions are estimated for the three different technologies: multicrystalline silicon (mc-Si), amorphous silicon (a-Si), and hetero-junction with intrinsic thin layer (HIT) for the site based on air-mass, module temperatures, incident in-plane irradiance, and power output. The performances are analyzed over a period of 3 years by evaluating changes in the performance ratio, the energy yields, and the percentages of occurrence of data points corresponding to standard test condition (STC), nominal operating cell temperature (NOCT), and MFC. For MFC, performance ratio (PR) values are ranging from 0.70 to 0.83, 0.70 to 0.86, and 0.70 to 0.90 for mc-Si, a-Si, and HIT, respectively. The total energy yield of HIT is the highest followed by a-Si and mc-Si modules for this climatic zone.


2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 455-456
Author(s):  
Luana P Ribeiro ◽  
Ryszard Puchala ◽  
Terry A Gipson ◽  
Raquel V Lourencon ◽  
Arthur L Goetsch

Abstract The objective was to determine if effects of different limited feed access treatments on performance by lactating Alpine dairy goats vary with dietary concentrate level. Primiparous (29; 55.2±0.8 kg BW) and multiparous Alpine goats (29; 70.2±1.06 kg) were used in a 24-wk study of 3 8-wk phases beginning at 7.1±0.37 d after kidding. Diets of 40 or 60% concentrate (40C and 60C, respectively) were offered free choice in Calan gate feeders, with access continuously (CON), for 8 h between morning and afternoon milkings (DAY), or for 2 h after each milking (FRH). Although there were many interactions involving phase, ADG during the entire study was greater for CON vs. FRH (P < 0.05; -20, -41, and -61 g for CON, DAY, and FRH, respectively; SEM = 8.6). Intake of DM also was greater for CON than for FRH (P < 0.05; 2.17, 2.03, 2.01, 2.29, 2.07, and 1.80 kg/d for 40C-CON, 40C-DAY, 40C-FRH, 60C-CON, 60C-DAY, and 60C-FRH, respectively; SEM=0.093). There were interactions (P < 0.02) between concentrate level and access treatment in milk yield (2.55, 2.41, 2.61, 3.21, 2.66, and 2.27 kg/d; SEM=0.103) and protein concentration (2.65, 2.55, 2.60, 2.67, 2.70, and 2.49%; SEM = 0.042), and milk fat concentration was greatest among treatments (P < 0.05) for FRH (2.79, 2.77, 3.18, 2.86, 2.89, and 3.02% for 40C-CON, 40C-DAY, 40C-FRH, 60C-CON, 60C-DAY, and 60C-FRH, respectively; SEM=0.103). As a consequence, milk energy yield was 6.14, 5.70, 6.67, 7.83, 6.58, and 5.61 MJ/d (SEM=0.251) and the ratio of milk energy to DMI was 3.01, 2.87, 3.37, 3.47, 3.28, and 3.18 MJ/kg for 40C-CON, 40C-DAY, 40C-FRH, 60C-CON, 60C-DAY, and 60C-FRH, respectively; SEM=0.123). Overall, limited feeder access treatments did not improve performance and, in fact, the shortest access treatment increased BW loss; however, efficiency of feed DM usage for milk energy yield was not adversely impacted.


2021 ◽  
pp. 2141001
Author(s):  
Sanqiang Wei ◽  
Hongxia Hou ◽  
Hua Sun ◽  
Wei Li ◽  
Wenxia Song

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%).


2021 ◽  
pp. 1-33
Author(s):  
Shahroz Anjum ◽  
Vivekananda Mukherjee ◽  
Gitanjali Mehta

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.


Animals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 446 ◽  
Author(s):  
Russ Best ◽  
Regan Standing

Global positioning systems (GPS) have recently been shown to reliably quantify the spatiotemporal characteristics of Polo, with the physiological demands of Polo play at low- and high-goal levels also investigated. This study aims to describe the spatiotemporal demands of Polo across 0–24 goal levels. A player-worn GPS unit was used to quantify distance, speed and high-intensity activities performed. Data were divided into chukkas and five equine-based speed zones, grouped per cumulative player handicap and assessed using standardized mean differences. Average distance and speed per chukka increased in accordance with cumulative player handicap, with the magnitude of differences being trivial–large and trivial–very large, respectively. Differences between time spent in high-intensity speed zones (zones 4 and 5) show a linear increase in magnitude, when comparing 0 goal Polo to all other levels of play (Small–Very Large; 6–24 goals, respectively). High-intensity activities predominantly shared this trend, displaying trivial–large differences between levels. These findings highlight increased cardiovascular, anaerobic and speed based physiological demands on Polo ponies as playing level increases. Strategies such as high-intensity interval training, maximal speed work and aerobic conditioning may be warranted to facilitate this development and improve pony welfare and performance.


2015 ◽  
Vol 785 ◽  
pp. 611-615
Author(s):  
Nuril Yaqin Ab Rahim ◽  
Shahril Irwan Sulaiman ◽  
Zulkifli Othman

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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