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Performance comparison of mono and polycrystalline silicon solar photovoltaic modules under tropical wet and dry climatic conditions in east-central India

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Clean Energy 2022年第1期6卷 165-177页

作者： Niranjan Singh Baghel Nikhil Chander Department of Electrical Engineering and Computer Science Indian Institute of Technology BhilaiGEC CampusSejbaharRaipur-492015ChhattisgarhIndia

This work focuses on the performance comparison of monocrystalline and polycrystalline Si solar photovoltaic(SPV)modules under tropical wet and dry climatic conditions in east-central India(21.16°N 81.65°E,Raipur,Chhattisgarh).This study would help to select the SPV module for system installation in the east-central part of the *** comparative analysis,we used performance ratio(PR)and efficiency as figures of *** plane-of-array(POA)irradiance was used to determine the efficiency of the *** decomposition and transposition models calculated the POA values from the measured global horizontal *** data were analysed systematically for 6 months in the non-rainy season,from October 2020 to March *** attention was given to solar irradiance,ambient temperature and module temperature-the parameters that affect the performance of PV *** month of October showed the highest variation in irradiance and *** highest average module temperatures(51-52℃)were observed in October-November,while the lowest average module temperatures(34℃ for mono-Si and 36℃ for poly-Si)were observed in *** highest value of average monthly POA irradiance(568 W/m^(2))was observed in February and the lowest(483 W/m^(2))in *** results showed that the monocrystalline SPV module performed better than the polycrystalline module under all weather *** maximum observed values of mono-Si and poly-Si panel PRs were 0.89 and 0.86,respectively,in December.

关键词： solar photovoltaic performance climatic conditions global horizontal irradiance plane-of-array

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Performance Evaluation of Silicon-Based Irradiance Sensors Versus Thermopile Pyranometer

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IEEE JOURNAL OF PHOTOVOLTAICS 2021年第1期11卷 144-149页

作者： Karki, Sameep Ziar, Hesan Korevaar, Marc Bergmans, Thijs Mes, Joop Isabella, Olindo Delft Univ Technol NL-2628 CD Delft Netherlands Delft Univ Technol Photovolta Mat & Devices Grp NL-2628 CD Delft Netherlands Kipp & Zonen BV NL-2628 XH Delft Netherlands

There are several sensors available in the market to measure the plane-of-array irradiance for photovoltaic applications. The prices of these sensors vary according to the design, calibration procedure, and conducted characterization. In this article, two types of silicon-based sensors with and without temperature correction capabilities are compared with a high-accuracy thermopile pyranometer to check their performance. The obtained results showed that silicon-based sensors deviate from the output of the pyranometers. The tested silicon-based pyranometers overestimate the irradiance with the median bias deviations of around 1.43% (with the average measured irradiance of 256 W/m(2)). For temperature-corrected silicon pyranometer, the bias deviation is 0.07% with the deviation range of -6.5%-10% (with the average measured irradiance of 257 W/m(2)). A working-class reference cell was also tested, resulting in a bias deviation of -1.74% and the deviation range of -13%-7% (with the average measured irradiance of 304 W/m(2)). The effect of air mass on the performance of cost-effective sensors was additionally analyzed. Within the measurement time window, the result also showed that for the silicon-based sensors under tests, the effects of the environmental conditions have the following qualitative order of influence: angle of incidence > red-shift > temperature. The performance of silicon-based sensors also showed seasonal dependence, being more accurate during summertime and wintertime, respectively, for the silicon pyranometer and the working-class reference cell. Finally, using the statistical evaluation, simple linear correction functions are introduced for silicon-based sensors.

关键词： Sensors Temperature sensors Temperature measurement Silicon Instruments Photovoltaic systems Calibration Air mass (AM) comparison photovoltaic (PV) module plane-of-array reference cell silicon pyranometer thermopile pyranometer

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One-dimensional transient thermal modelling and analysis of pontoon design parameters in floating photovoltaic systems

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Solar Energy 2025年 297卷

作者： Willemse, Brendan Pretorius, Johannes Owen, Michael Rix, Arnold Department of Mechanical and Mechatronic Engineering University of Stellenbosch Private Bag X1 Matieland7602 South Africa Department of Electrical and Electronic Engineering University of Stellenbosch Private Bag X1 Matieland7602 South Africa

This study simulates the thermal behaviour of floating photovoltaic modules under varying conditions of plane-of-array irradiance, wind speed, air temperature, and water temperature. A transient, one-dimensional finite difference model calculates cell temperature, efficiency, and power output. Validated using 46 days of experimental data from a floating photovoltaic system in Stellenbosch, South Africa, the model predicts back surface temperatures with a root mean square error of 4.00 °C and R2 = 0.91. Strong correlations of R2 = 0.92 and R2 = 0.90 are observed under consistent and fluctuating irradiance conditions, respectively. Elevated pontoon temperatures (TP > Tair > TW) are found to reduce the thermal benefits of water proximity. A factorial design sensitivity analysis examines the influence of module tilt angle, pontoon emissivity, relative pontoon surface area, module height above water, and their interactions on cell temperature. Pontoon surface area shows the highest sensitivity, with an average change of 0.22 °C/%, followed by tilt angle. Pontoon emissivity has a lower but notable sensitivity of 0.05 °C/%. Significant parameter interactions are also identified. Modelling a pontoon-less floating photovoltaic system reveals a mean module efficiency increase of 0.21 % (maximum 0.39 %) and a 1.28 % rise in energy output across the dataset, highlighting the pivotal role of pontoon design in optimising the thermal performance and overall efficiency of these systems. © 2025 The Author(s)

关键词： Floating PV Ground-mounted PV Cell temperature Module efficiency Pontoon design 1D One-dimensional 3D Three-dimensional ANOVA Analysis of variance BAPV Building-attached photovoltaic BIPV Building-integrated photovoltaic CV Control volume EES Engineering equation solver EVA Ethyl vinyl acetate FDM Finite difference method FPV Floating photovoltaic GPV Ground-mounted photovoltaic HDF Heat dissipation factor IFE Institute for Energy Technology IRENA International Renewable Energy Agency LCOE Levelised Cost of Electricity LU Lower-upper MAE Mean average error MBE Mean bias error NOCT Nominal operating cell temperature POA plane-of-array PV Photovoltaic RMSE Root mean square error STC Standard test conditions

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Spatio-temporal PV forecasting sensitivity to modules' tilt and orientation

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APPLIED ENERGY 2019年 255卷 113807-000页

作者： Amaro e Silva, R. Brito, M. C. Univ Lisbon Fac Ciencias Inst Dom Luiz P-1749016 Lisbon Portugal

Using deployed PV generation as inputs for spatio-temporal forecasting approaches has the potential for fast and scalable very short-term PV forecasting in the urban environment but one has to consider the effect of their tilt and orientation on the forecasting accuracy. To address this issue, tilted irradiance data sets were simulated using state of the art solutions on a horizontal irradiance data set from a pyranometer network deployed in Oahu, Hawaii, and used as inputs to train a 10-s ahead linear ARX model. Results showed that the mismatch in tilt/orientation degrades the forecast skill, justified by the difference in the diffuse fraction of each surface and, thus, how each reacts to changes in cloud cover. From 4000 simulated sets, it was shown that using information from more sites led to better forecasts and made the model performance less sensitive to the PV modules' tilt and orientation. Forecast skill showed to be quite sensitive to the tilt and orientation ensemble when the inputs consisted of only rooftop or facade systems (between 18.1-29.6% and 8.2-19.4%, respectively). Forecasting a rooftop system with vertically tilted neighbors lead to considerably lower skill values (9.8-16.2%) and benefitted when all shared the same orientation. On the other hand, forecasting a vertically tilted system with rooftop neighbors had a lower impact (9.2-14.7%) and benefitted from diversely oriented neighbors.

关键词： Photovoltaics Spatio-temporal solar forecasting ARX plane-of-array

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