Effect of tilt angle on the performance and electrical parameters of a PV module: Comparative indoor and outdoor experimental investigation

Mamun, Mohammad Abdullah Al; Islam, Monirul; Hasanuzzaman, M.; Selvaraj, Jeyraj

doi:10.1016/j.enbenv.2021.02.001

Cited by 79 publications

(47 citation statements)

References 48 publications

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“…All suggested models specify unique PV cell properties and working conditions. As evident in Figure 7, there were no similarities between the models because the models did not cover all the effective parameters from the environment and PV cell setup [67]. For a flat PV panel whose hot surface faces upward in a cooler environment, the heated airflow rises freely, inducing natural solid (free) convection currents and effective heat transfer [32][33][34][35].…”

Section: Pv Module Efficiency and Temperaturementioning

confidence: 99%

“…It causes the PV module not to gain the maximum solar flux and means that it will have a lower operating temperature. Moreover, this behavior explains why the literature looks for an optimal tilt angle for a PV module which, with that angle, could receive significant solar flux and generate higher temperatures [2,[26][27][28][29][62][63][64][65][66][67].…”

Section: Pv Module Efficiency and Temperaturementioning

confidence: 99%

“…All suggested models specify unique PV cell properties and working conditions. As evident in Figure 7, there were no similarities between the models because the models did not cover all the effective parameters from the environment and PV cell setup [67]. Figure 7 presents the empirical model from the literature that mentioned the linear relation between the PV cell efficiency and operating temperature.…”

Section: Pv Module Efficiency and Temperaturementioning

confidence: 99%

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Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model

Hassanian

Riedel

Helgadóttir

et al. 2022

Thermo

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This paper evaluates the photovoltaic (PV) module operating temperature’s relation to efficiency via a numerical heat transfer model. The literature reports that higher PV module operating temperatures impact PV module efficiency. There are dozens of explicit and implicit equations used to determine the PV module operating temperature. However, they are not universal, and for each application, it is necessary to insert a correction coefficient based on the environment and boundary conditions. Using a numerical method covering a more comprehensive range of PV module operation conditions to estimate a global equation, this study considers the solar radiation flux, Gt, solar ray direction with respect to the ground level, γ, convective heat transfer coefficient, h, tilt angle, β, ambient temperature, Ta, PV power output, Ppv, PV panel efficiency, η, and environmental properties. The results match the extant empirical work and related literature. PV module efficiency is found to have a linear relationship to the PV module operating temperature via a numerical heat transfer model corresponding to the well-known PV module. It specifies that heat transfer convection changes with PV module tilt angle, causing PV module operating temperature effects. It also represents the PV module operating temperature variations with ambient temperature and solar flux, like those reported in the literature.

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Section: Pv Module Efficiency and Temperaturementioning

confidence: 99%

Section: Pv Module Efficiency and Temperaturementioning

confidence: 99%

“…All suggested models specify unique PV cell properties and working conditions. As evident in Figure 7, there were no similarities between the models because the models did not cover all the effective parameters from the environment and PV cell setup [67]. Figure 7 presents the empirical model from the literature that mentioned the linear relation between the PV cell efficiency and operating temperature.…”

Section: Pv Module Efficiency and Temperaturementioning

confidence: 99%

See 1 more Smart Citation

Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model

Hassanian

Riedel

Helgadóttir

et al. 2022

Thermo

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“…Mudit Kapoor and Rahul Dev Garg 35 have introduced a novel approach to find optimum tilt angle using generated and predicted solar data. Mamun et al, 36 have illustrated to trace the variation in PV performance with electrical parameters at varying tilt angles in Malaysian conditions. Skandalos and Karamanis 37 have explained the energy performance of four BIPVs that regulate solar radiation utilizing windows and its effect on the built environment for three different climatic zones.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Hybrid TSA‐RBFNN based approach for MPPT of the solar PV panel under the effects of tilt angles variations and environmental effects

2021

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This paper proposes a hybrid approach to improve the performance of photovoltaic (PV) system and track the maximum system power. The proposed hybrid approach is the combination of Tunicate Swarm algorithm (TSA) and Radial Basis Function Neural Network (RBFNN), hence it is called TSA-RBFNN. The main contribution of this paper is to "achieve the best output from solar system by tilt angles variations and environmental effects, like dust accumulation, water drops, partial shading, and maximum power point tracking (MPPT) of the solar PV panel. Here, tilt angle and orientation angles are important factor for obtaining the maximal power of the photovoltaic system with consequently the power fed to load in the PV system. The voltage, current, and PV system power are used to analyze the effect of any particle size and any weight of coal for the performance of PV modules. TSA is used to measure the PV module voltage, current, and power, then it generates a possible dataset in the offline way. The dataset has electrical parameters that are used to create a model by using RBFNN in the online way. In addition, the determination of cleaning frequency is also developed for dirty PV modules depending upon the dust deposition velocity, then the correlation among deposited dust density including power performance of photovoltaic module. The proposed method is activated in MATLAB/Simulink site under four different test cases and the efficiency is compared with other existing methods. Furthermore, optimum solutions for proposed technique, the current, voltage, power are also analyzed. In 100 iterations, the first order statistic evaluation for all the cases is obtained using proposed and existing techniques such as ANN, GBDT, SSA, and SSA-GBDT technique. In addition, the dependability, sensitivity, and accuracy of the proposed technique are also obtained. Computation time using various number of trails of proposed and existing techniques is analyzed for 100, 150, 200, 250, and 500 trails. The proposed technique achieves the trail number of 100, 150, 200, 250, and 500 trails is 48.1740 seconds, 51.2133 seconds, 71.0483 seconds, 60.00126 seconds, and 57.80132 seconds.

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“…One of the reasons is that photovoltaic cell technology is constantly evolving. In the following papers it has been proved that the efficiency of photovoltaic systems depends on the location [24][25] [26], weather [27] and angles of surface orientation in relation to the horizon and azimuth [28][29] [30]. The objective of this paper is to add to this area of study with an analysis of the CdTe and CIGS modules fabricated by thin film technology working in the temperate climate.…”

Section: Introductionmentioning

confidence: 99%

Study of the second-generation of CdTe and CIGS thin film PV modules under natural sunlight conditions

Dyndał¹,

Sanetra²,

Marszałek³

2021

REPQJ

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There is a significant amount of research in the literature concerning the performance of solar panels operating during outdoor exposure, but the full topic is not yet exhausted. One of the reasons is that the photovoltaic cell technology is constantly evolving. In this paper, a comparison of two types of CdTe and CIGS modules operated with a nominal power of 80 W and 140 W, respectively is studied. The module tests were performed under external conditions during autumn, winter, spring, and summer from October 2019 to July 2020 in the temperate climate of Miękinia, South Poland. The photovoltaic panels were connected to the electric grid via microinverters. During the tests, the temperature of the panels was monitored. To determine the influence of solar radiation on the energy conversion efficiency of photovoltaic panels, a pyranometer installed in the plane of the panels was used. Based on the monitoring of the atmospheric conditions and the measurement of instantaneous power, the efficiency of the modules is determined.

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Effect of tilt angle on the performance and electrical parameters of a PV module: Comparative indoor and outdoor experimental investigation

Cited by 79 publications

References 48 publications

Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model

Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model

Hybrid TSA‐RBFNN based approach for MPPT of the solar PV panel under the effects of tilt angles variations and environmental effects

Study of the second-generation of CdTe and CIGS thin film PV modules under natural sunlight conditions

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