The characterisation of crystalline silicon photovoltaic devices using the manufacturer supplied data

Ghani, Faisal Abid; Rosengarten, G.; Duke, Mike

doi:10.1016/j.solener.2016.03.008

Cited by 16 publications

(6 citation statements)

References 24 publications

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“…For BPV modules, the equivalent circuit can be adapted, as seen in Figure 3b, which has an additional current source representing the front side photocurrent and rear side photocurrent separately [21]. The single diode model has been widely validated to emulate the performance of MPV modules [27][28][29][30][31] although, for BPV, despite it being used in few researches [31][32][33], its accuracy has not been widely explored.…”

Section: I-v Curve Parametersmentioning

confidence: 99%

Review on the Sources of Power Loss in Monofacial and Bifacial Photovoltaic Technologies

2021

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An evaluation of the degradation effects on photovoltaic modules is essential to minimise uncertainties in the system operation. Bifacial photovoltaic technology is attracting attention due to the capacity of generating energy from the front and rear sides. This paper presents a review of degradation factors, for both conventional monofacial and bifacial photovoltaic modules, to highlight how the current and voltage characteristics of these technologies are affected by degradation. Microcracking, encapsulant discoloration, and light induced degradation seem to have similar effects on both modules. Contrarily, bifacial modules are more prone to potential induced degradation as the electromagnetic shielding is affected by the bifaciality. Bifacial devices are less affected by light and elevated temperature induced degradation. The degradation (1.3%) is similar for both technologies, up to 40 kWh/m2 of solar radiation. Above this value, monofacial degradation increases faster, reaching values of 7%. For tilted systems, the front side soiling degradation of 0.30% per day is similar for both technologies. For vertical systems, soiling loss for bifacial is considerably lower with values of 0.02% per day.

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Section: I-v Curve Parametersmentioning

confidence: 99%

Review on the Sources of Power Loss in Monofacial and Bifacial Photovoltaic Technologies

2021

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“…[1] proposed an iterative method without implicit equation to extract parameters, but this method requires the derivative of current to voltage at open circuit voltage (Voc) and short circuit current (Isc), which are not easy to obtain. In [2] and [3], transcendental function Lambert W is used to extract model parameters. However, Lambert W function is a multi-valued function, and its solving method is different from common functions, requiring special solutions such as lookup table method.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Photovoltaic modules under shading condition and an error evaluation criterion

Lai

Wang

et al. 2022

J. Phys.: Conf. Ser.

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Energy is the focus of recent years. As one of the most representative new energy sources, solar energy has the characteristics of large reserves and no pollution. The main way to use solar energy is photovoltaic (PV) power generation, and the PV module in the PV power generation system is the component that converts solar energy into electric energy. In the actual power generation process, PV modules often receive uneven solar illumination due to the shadow caused by clouds, trees, buildings, etc., resulting in changes in the output characteristics of PV modules and reduced output efficiency. Therefore, modeling of PV modules under shading condition is very important. This paper presents two simple methods for solving the parameters of PV module models, which require few parameters and are easy to obtain. A modeling method of PV modules under shading condition is also presented. And then the modeling method is verified with the experiment result. Finally, an error criterion for PV module modeling under shading condition is proposed to measure the goodness of the modeling. Combining with the two parameter solving methods, the errors of this PV module modeling method under shading condition of the error criterion proposed in this paper are 3.24% and 2.51%, respectively, which meet the requirements for engineering use.

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“…He thought that the reverse saturation current density should be called the recombination parameter when a solar cell is illuminated [23]. Although some researchers ever investigated the recombination parameters of solar modules using a double-diode model, the estimated parameter of a solar module could not reflect the recombination behavior of a solar cell accurately, owing to soldering and encapsulation [24][25][26][27][28][29]. People often understand the recombination behavior of solar cells by measuring minority carrier lifetime and modeling, but it is generally not possible to detangle recombination in the different regions for solar cells [30].…”

Section: Introductionmentioning

confidence: 99%

Recombination Parameters of the Diffusion Region and Depletion Region for Crystalline Silicon Solar Cells under Different Injection Levels

et al. 2020

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In order to maximize performance in all conditions of use, and to model exactly the performance of solar cells, it is very important to study the recombination parameters under different injection levels. In this paper, the recombination parameters and their effect on the output performance of solar cells are investigated under different injection levels for the full-area aluminum back surface field (Al-BSF) solar cell and passivated emitter and rear cell (PERC) solar cell for the first time. It is found that the recombination parameter J01 of the diffusion region and the recombination parameter J02 of the depletion region for the PERC solar cell are smaller than those of the Al-BSF solar cell under the same injection level. A new finding is that the recombination parameter J01 of Al-BSF solar cells increases quickly with the decreasing injection level compared with PERC solar cells. Finally, the J01/J02 of Al-BSF and PERC solar cells is investigated, and the effects of J01/J02 on the electrical parameters are also analyzed for Al-BSF and PERC solar cells under different injection levels. The obtained conclusions not only clarify the relationship between the recombination parameters and injection levels, but also help to improve cell processes and accurately model daily energy production.

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The characterisation of crystalline silicon photovoltaic devices using the manufacturer supplied data

Cited by 16 publications

References 24 publications

Review on the Sources of Power Loss in Monofacial and Bifacial Photovoltaic Technologies

Review on the Sources of Power Loss in Monofacial and Bifacial Photovoltaic Technologies

Modeling of Photovoltaic modules under shading condition and an error evaluation criterion

Recombination Parameters of the Diffusion Region and Depletion Region for Crystalline Silicon Solar Cells under Different Injection Levels

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