Solar spectral influence on the performance of photovoltaic (PV) modules under fine weather and cloudy weather conditions

BackgroundWe aimed to study the effect of weather conditions on the rate of all deaths due to fatal self-harm (FSH) reported in a population of 350 000. In this study the term FSH refers to all coroners' verdicts which were recorded in a specified period and included suicide, misadventure and open verdict.MethodFive-year data of FSH in North Cheshire was analysed in relation to meteorological data, which were measured at the nearest meteorological office to the study population.ResultsSmall but significant positive correlations were demonstrated between occurrence of FSH and hours of sunshine (P < 0.01) and diurnal variations in daily temperature (P < 0.05). These effects were independent of gender and psychiatric history.ConclusionsWeather may influence the occurrence of FSH, probably interacting with biological and social variables. The rate of FSH death appears to be positively related to fine weather conditions, during early summer, and not to extreme weather conditions as previously reported.

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Study of Photovoltaic Systems’ Performances with Different Module Types

Materials Science Forum ◽

10.4028/www.scientific.net/msf.856.279 ◽

2016 ◽

Vol 856 ◽

pp. 279-284 ◽

Cited By ~ 3

Author(s):

Zahari Zarkov ◽

Ludmil Stoyanov ◽

Hristiyan Kanchev ◽

Valentin Milenov ◽

Vladimir Lazarov

Keyword(s):

Theoretical Study ◽

Weather Conditions ◽

Operating Conditions ◽

Experimental Results ◽

Photovoltaic Systems ◽

Experimental Site ◽

Pv Systems ◽

Research Platform ◽

Pv Modules ◽

Different Types

The purpose of the work is to study and compare the performance of photovoltaic (PV) generators built with different types of panels and operating in real weather conditions. The paper reports the results from an experimental and theoretical study of systems with PV modules manufactured according to different technologies and using different materials. The experiment was carried out at a research platform for PV systems developed by the authors, built and located at an experimental site near the Technical University of Sofia. Based on the obtained results, comparisons are made between the different PV generators for the same operating conditions. The comparison between the theoretical and the experimental results demonstrates a good level of overlap.

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A Cuckoo MPPT based SMC Control for Grid tied PV System

International Journal for Modern Trends in Science and Technology - RTT2020 ◽

10.46501/ijmtst060805 ◽

2020 ◽

pp. 22-26

Author(s):

G Vaddikasulu , Meneni Saigeetha

Keyword(s):

Output Power ◽

Weather Conditions ◽

Atmospheric Temperature ◽

Maximum Power ◽

Photovoltaic System ◽

Solar Irradiation ◽

Pv System ◽

Pv Array ◽

Cloudy Weather ◽

Pv Cell

Maximum power point techniques (MPPT) are used in photovoltaic system to make full utilization of PV array output power. The output power of PV array is always changing with weather conditions i.e., solar irradiation and atmospheric temperature. PV cell generates power by converting sunlight into electricity. The electric power generated is proportional to solar radiation. PV cell can generate around 0.5 to 0.8 volts. During cloudy weather due to varying insolation levels the output of PV array varies. The MPPT is a process which tracks the maximum power from array and by increasing the duty cycle of the DC-DC boost converter, the output voltage of the system is increased. This paper presents the cuckoo mppt technique for PV system along with SMC controller methods in grid connected photovoltaic (PV) systems for optimizing the solar energy efficiency

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Weaver-Birds’ crop-Raiding Behavior in Buea municipality, Southwest Region, Cameroon

10.53902/gsres.2020.01.000501 ◽

2020 ◽

Vol 1 (1) ◽

Author(s):

Melle Ekane Maurice

Keyword(s):

Elaeis Guineensis ◽

Mangifera Indica ◽

Weather Conditions ◽

Atmospheric Conditions ◽

Crop Raiding ◽

Crop Species ◽

Entire Study ◽

Rainy Weather ◽

Cloudy Weather ◽

Raiding Behavior

The entire surface of the earth is visited by the birds in view of their aerial flights and variable habitats in search of suitable breeding and feeding grounds. Flight, intelligence, adaptability and sight are some of the attributes that add to the diversity in the life of birds, consequently there is complexity in their overall behavioral pattern. The key objective of this study was to assess the weaver-bird crop-raiding activity in Buea municipality on different environmental parameters. The study was undertaken for three months, six days in a week, from 7:00am to 6:00pm. Scan observations were made on birds’ activity on a five-minute interval period across the entire study area. Simultaneously, data was collected on the environmental conditions. The study recorded a significant association between weaver-bird activity on crop-land, X2 = 11.653 df=14, P < 0.005 and X2 = 3.441 df=4, P<0.05 respectively. There was weaver-bird activity frequency of 51.63%, 45.35%, and 3.02% for Ploceus luteolus, Ploceus cuculatus, and Ploceus melanocephalus respectively. Moreover, a week association between bird activity and weather, X2 = 3.125 df=3, P<0.05 was recorded. The sunny and cloudy weather conditions recorded 53.26%, and 42.09% respectively, while the windy and rainy weather conditions were significantly low (3.26%). An association was recored between atmospheric conditions and weaver-birds’ activity on crops, X2 = 23.249 df=21, P<0.05. In addition, the most destroyed farms were Elaeis guineensis (32.33%), Saccharum officinarum (19.77%), Zea mays (17.44%), and Mangifera indica (15.58%) respectively, and the scale of destruction was very prominent on the foliage used by the birds for nest-building. Maize crops and oil-palms were among the crop species most subjected to destruction by birds. These crops were observed with poor foliage formation and fruits, consequently they withered, and since the local farming population in this municipality predominantly cultivates these crops most, a heavy toll is often taken on the annual farmers’ income.

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Numerical Simulations of a PV Module with Phase Change Material (PV-PCM) under Variable Weather Conditions

International Journal of Heat and Technology ◽

10.18280/ijht.390236 ◽

2021 ◽

Vol 39 (2) ◽

pp. 643-652

Author(s):

Stefano Aneli ◽

Roberta Arena ◽

Antonio Gagliano

Keyword(s):

Phase Change ◽

Numerical Simulations ◽

Phase Change Materials ◽

Weather Conditions ◽

Ansys Fluent ◽

Pv Panel ◽

Pv Module ◽

Pv Modules ◽

Fluent Software ◽

Variable Weather

The electrical efficiency of photovoltaic (PV) modules can be improved through the cooling of the PV. Among the passive cooling strategy, one of the most promising concerns the use of phase change materials (PCMs) to decrease the operative temperature of a PV panel. This paper investigates the performances of a conventional PV panel in which two organic PCMs are added (PV-PCM) to reduce the temperature rise of PV cells and consequently to increase the electrical performances. With this aim, unsteady numerical simulations have been carried with Ansys Fluent software using a two-dimensional simplified geometry for the PV modules with the PCM is incorporated (PV-PCM), as well as for the benchmark PV module. The numerical simulations have allowed evaluating the PV cell temperatures, the power production, as well the PCM thermal behavior. As regards this latter aspect the dynamic analysis has evidenced the need to extend the time of simulation at least for two days in such way to take into account of the degree of solidification achieved during the night by the PCM materials. PCM with low melting temperature cannot complete solidifying during the night and so the heat stored during the day will be lesser than the theoretical one. The results of this study pointed out that the PV-PCM units allow achieving higher performances in comparison with a conventional PV module, especially during the hottest months. An increase in the peak power of 10% and of 3.5% of the energy produced all year round is attained.

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Sea Fog Detection Based on Normalized Difference Snow Index Using Advanced Himawari Imager Observations

Remote Sensing ◽

10.3390/rs12091521 ◽

2020 ◽

Vol 12 (9) ◽

pp. 1521

Author(s):

Han-Sol Ryu ◽

Sungwook Hong

Keyword(s):

Near Infrared ◽

Weather Conditions ◽

Skill Score ◽

Probability Of Detection ◽

The Yellow Sea ◽

Sea Fog ◽

Cloudy Weather ◽

Comparison Results ◽

Normalized Difference Snow Index ◽

Fog Detection

Many previous studies have attempted to distinguish fog from clouds using low-orbit and geostationary satellite observations from visible (VIS) to longwave infrared (LWIR) bands. However, clouds and fog have often been misidentified because of their similar spectral features. Recently, advanced meteorological geostationary satellites with improved spectral, spatial, and temporal resolutions, including Himawari-8/9, GOES-16/17, and GeoKompsat-2A, have become operational. Accordingly, this study presents an improved algorithm for detecting daytime sea fog using one VIS and one near-infrared (NIR) band of the Advanced Himawari Imager (AHI) of the Himawari-8 satellite. We propose a regression-based relationship for sea fog detection using a combination of the Normalized Difference Snow Index (NDSI) and reflectance at the green band of the AHI. Several case studies, including various foggy and cloudy weather conditions in the Yellow Sea for three years (2017–2019), have been performed. The results of our algorithm showed a successful detection of sea fog without any cloud mask information. The pixel-level comparison results with the sea fog detection based on the shortwave infrared (SWIR) band (3.9 μm) and the brightness temperature difference between SWIR and LWIR bands of the AHI showed high statistical scores for probability of detection (POD), post agreement (PAG), critical success index (CSI), and Heidke skill score (HSS). Consequently, the proposed algorithms for daytime sea fog detection can be effective in daytime, particularly twilight, conditions, for many satellites equipped with VIS and NIR bands.

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Performance of Bi-Facial PV Modules in Urban Settlements in Tropical Regions

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.853.312 ◽

2013 ◽

Vol 853 ◽

pp. 312-316

Author(s):

Carlo Pisigan ◽

Fan Jiang

Keyword(s):

Urban Areas ◽

Weather Conditions ◽

Energy Output ◽

Rear Side ◽

Energy Yield ◽

Tropical Regions ◽

Pv Systems ◽

Irradiation Energy ◽

Pv Modules ◽

Urban Settlements

This paper studies the performance of bifacial Heterojunction with Intrinsic Thin-layer (HIT) PV modules through a one-year experiment in Singapore. Two 1.2kWp (front side)/0.84kWp (rear side) PV systems were installed vertically, facing the N-S and E-W directions respectively. The operational data of two systems were monitored and collected to analyze their performance under different weather conditions. This paper will presentthe change of irradiation, energy yield and the AC energy output of the bifacial PV systems. The results help to understand the impacts of system installation on the energy yield of vertically-installedbifacial HIT PV systems, to find out its advantages in applications over monofacial PV modules and to explore the potential of bifacial PV modules in tropical regions, especially in urban areas like Singapore.

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Power Prediction and Technoeconomic Analysis of a Solar PV Power Plant by MLP-ABC and COMFAR III, considering Cloudy Weather Conditions

International Journal of Chemical Engineering ◽

10.1155/2016/1031943 ◽

2016 ◽

Vol 2016 ◽

pp. 1-8 ◽

Cited By ~ 5

Author(s):

M. Khademi ◽

M. Moadel ◽

A. Khosravi

Keyword(s):

Power Plant ◽

Output Power ◽

Weather Conditions ◽

Mean Bias Error ◽

Percentage Error ◽

Bias Error ◽

Solar Pv ◽

Economic Point ◽

Cloudy Weather ◽

The Mean

The prediction of power generated by photovoltaic (PV) panels in different climates is of great importance. The aim of this paper is to predict the output power of a 3.2 kW PV power plant using the MLP-ABC (multilayer perceptron-artificial bee colony) algorithm. Experimental data (ambient temperature, solar radiation, and relative humidity) was gathered at five-minute intervals from Tehran University’s PV Power Plant from September 22nd, 2012, to January 14th, 2013. Following data validation, 10665 data sets, equivalent to 35 days, were used in the analysis. The output power was predicted using the MLP-ABC algorithm with the mean absolute percentage error (MAPE), the mean bias error (MBE), and correlation coefficient (R2), of 3.7, 3.1, and 94.7%, respectively. The optimized configuration of the network consisted of two hidden layers. The first layer had four neurons and the second had two neurons. A detailed economic analysis is also presented for sunny and cloudy weather conditions using COMFAR III software. A detailed cost analysis indicated that the total investment’s payback period would be 3.83 years in sunny periods and 4.08 years in cloudy periods. The results showed that the solar PV power plant is feasible from an economic point of view in both cloudy and sunny weather conditions.

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A Dynamic Electrical Scheme for the Optimal Reconfiguration of PV Modules under Non-Homogeneous Solar Irradiation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.197.768 ◽

2012 ◽

Vol 197 ◽

pp. 768-777 ◽

Cited By ~ 11

Author(s):

Roberto Candela ◽

Eleonora Riva Sanseverino ◽

Pietro Romano ◽

Marzia Cardinale ◽

Domenico Musso

Keyword(s):

Dynamic System ◽

Real Time ◽

Output Power ◽

System Simulation ◽

Weather Conditions ◽

Solar Irradiation ◽

Pv Systems ◽

Pv Modules ◽

Optimal Reconfiguration ◽

Pv Generator

This paper presents a strategy for the maximization of the output power of photovoltaic (PV) systems under non homogeneous solar irradiation by means of automatic reconfiguration of the PV arrays layout. The innovation of the proposed approach is the employment of a simple Dynamic Electrical Scheme (DES), allowing a large number of possible modules interconnection, to be installed between the PV generator and the inverter. The models of the PV generator and of the DES have been realized and simulated with Simulink (Dynamic System Simulation for MATLAB). The attained experimental results appear to be quite interesting in terms of the attainable benefit in power and thus energy terms. The limited calculation times of the reconfiguration algorithm allows the application of the DES for the real time adaptation of the configuration to the changing weather conditions or other causes of non-uniform solar irradiation. Moreover, the results confirm that, in case of non uniform solar irradiation, this approach allows to attain considerably much better results than those attainable with a static configuration.

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