Study of the Temperature Coefficient of the Main Photoelectric Parameters of Silicon Solar Cells with Various Nanoparticles

Gulomov, Jasurbek; Алиев, Р.

doi:10.21272/jnep.13(4).04033

Cited by 9 publications

(9 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As an example, the plasma coefficients of metals such as gold (Au), silver (Ag), copper (Cu) and platinum (Pt) were determined from the results of the experiment presented in [9] tion results are given in Table 1. The results obtained practically agree with the results of [1,3,10]. Fig.…”

Section: Resultssupporting

confidence: 89%

See 1 more Smart Citation

Semi-Empirical Plasmon Coefficients of Metals for Nanoplasmonics

Yuldasheva¹,

Nosirov²,

Matboboeva³

et al. 2022

J. Nano- Electron. Phys.

Self Cite

View full text Add to dashboard Cite

The paper considers a program for determining the plasmonic parameters of some metals using the least squares method based on experimental data. Analytical expressions are obtained for the real part of the dielectric function as a function of the wavelength of the incident light. It is found that in all metals at a wavelength of the incident light   0.7 m, nanoplasmons can be formed. The dependence of the dielectric constants of Au, Ag, Cu, Al, Ni, Pt, Zn, and Ti nanoparticles, which are used for solar energy today, on the wavelength is studied. Also, the wavelengths that create the nanoplasmonics effect are determined. It is found that the plasmonic wavelength for gold, silver and platinum nanoparticles is equal to 142.9 nm, 79.1 nm, and 163.9 nm, respectively. Among metal nanoparticles, Al has the shortest plasmon wavelength and Pt has the longest wavelength. Metal nanoparticles are introduced into silicon-based solar cells mainly to modify photons in the infrared spectrum to photons in the visible range, because silicon mainly absorbs photons in the visible range but cannot absorb photons in the infrared range. In order for a metal nanoparticle to convert infrared photons into visible photons, the plasmon wavelength must be larger. Therefore, Pt nanoparticle is considered to have the best plasmon coefficient for input into silicon solar cells. The real part of the dielectric constant is spread over the Taylor series and the unknown coefficients are determined by the least squares method. One of the main parameters is the wavelength-independent part of the dielectric coefficient.

show abstract

Section: Resultssupporting

confidence: 89%

“…1 shows the dependence of the real part of the dielectric function of metals like (Au), silver (Ag), copper (Cu) and platinum (Pt) on the wavelength of the incident light, built on the basis of parameters determined using the least squares method. The figure also shows the dielectric function of silicon (Si) [10].…”

Section: Resultsmentioning

confidence: 99%

Semi-Empirical Plasmon Coefficients of Metals for Nanoplasmonics

Yuldasheva¹,

Nosirov²,

Matboboeva³

et al. 2022

J. Nano- Electron. Phys.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Silicon is ubiquitous on earth and its reserves are substantial. In order to optimize silicon-based solar cells, an anti-reflection layer [ 18 ], textures [ 19 ], nanoparticles [ 20 ] and quantum dots [ 21 ] are formed on their surface and volume. The efficiency of the homojunction silicon-based solar cell does not exceed 29% according to the Shockley–Quisser limit [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Atom-to-Device Simulation of MoO3/Si Heterojunction Solar Cell

et al. 2022

View full text Add to dashboard Cite

Metal oxides are commonly used in optoelectronic devices due to their transparency and excellent electrical conductivity. Based on its physical properties, each metal oxide serves as the foundation for a unique device. In this study, we opt to determine and assess the physical properties of MoO3 metal oxide. Accordingly, the optical and electronic parameters of MoO3 are evaluated using DFT (Density Functional Theory), and PBE and HSE06 functionals were mainly used in the calculation. It was found that the band structure of MoO3 calculated using PBE and HSE06 exhibited indirect semiconductor properties with the same line quality. Its band gap was 3.027 eV in HSE06 and 2.12 eV in PBE. Electrons and holes had effective masses and mobilities of 0.06673, −0.10084, 3811.11 cm2V−1s−1 and 1630.39 cm2V−1s−1, respectively. In addition, the simulation determined the dependence of the real and imaginary components of the complex refractive index and permittivity of MoO3 on the wavelength of light, and a value of 58 corresponds to the relative permittivity. MoO3 has a refractive index of between 1.5 and 3 in the visible spectrum, which can therefore be used as an anti-reflection layer for solar cells made from silicon. In addition, based on the semiconducting properties of MoO3, it was estimated that it could serve as an emitter layer for a solar cell containing silicon. In this work, we calculated the photoelectric parameters of the MoO3/Si heterojunction solar cell using Sentaurus TCAD (Technology Computing Aided Design). According to the obtained results, the efficiency of the MoO3/Si solar cell with a MoO3 layer thickness of 100 nm and a Si layer thickness of 9 nm is 8.8%, which is 1.24% greater than the efficiency of a homojunction silicon-based solar cell of the same size. The greatest short-circuit current for a MoO3/Si heterojunction solar cell was observed at a MoO3 layer thickness of 60 nm, which was determined by studying the dependency of the heterojunction short-circuit current on the thickness of the MoO3 layer.

show abstract

“…After creating the geometric model of our solar cell, the physical parameters are assigned to the materials. The Sentaurus TCAD database includes parameter files of more than 40 materials [ 29 ], among which the properties of ZnO, NiO x , and CH 3 NH 3 PbI 3 are missing. The unavailable materials properties can be created and added to the database manually.…”

Section: Methodsmentioning

confidence: 99%

Geometric Optimization of Perovskite Solar Cells with Metal Oxide Charge Transport Layers

et al. 2022

View full text Add to dashboard Cite

Perovskite solar cells (PSCs) are a promising area of research among different new generations of photovoltaic technologies. Their manufacturing costs make them appealing in the PV industry compared to their alternatives. Although PSCs offer high efficiency in thin layers, they are still in the development phase. Hence, optimizing the thickness of each of their layers is a challenging research area. In this paper, we investigate the effect of the thickness of each layer on the photoelectric parameters of n-ZnO/p-CH3NH3PbI3/p-NiOx solar cell through various simulations. Using the Sol–Gel method, PSC structure can be formed in different thicknesses. Our aim is to identify a functional connection between those thicknesses and the optimum open-circuit voltage and short-circuit current. Simulation results show that the maximum efficiency is obtained using a perovskite layer thickness of 200 nm, an electronic transport layer (ETL) thickness of 60 nm, and a hole transport layer (HTL) thickness of 20 nm. Furthermore, the output power, fill factor, open-circuit voltage, and short-circuit current of this structure are 18.9 mW/cm2, 76.94%, 1.188 V, and 20.677 mA/cm2, respectively. The maximum open-circuit voltage achieved by a solar cell with perovskite, ETL and HTL layer thicknesses of (200 nm, 60 nm, and 60 nm) is 1.2 V. On the other hand, solar cells with the following thicknesses, 800 nm, 80 nm, and 40 nm, and 600 nm, 80 nm, and 80 nm, achieved a maximum short-circuit current density of 21.46 mA/cm2 and a fill factor of 83.35%. As a result, the maximum value of each of the photoelectric parameters is found in structures of different thicknesses. These encouraging results are another step further in the design and manufacturing journey of PSCs as a promising alternative to silicon PV.

show abstract

Study of the Temperature Coefficient of the Main Photoelectric Parameters of Silicon Solar Cells with Various Nanoparticles

Cited by 9 publications

References 7 publications

Semi-Empirical Plasmon Coefficients of Metals for Nanoplasmonics

Semi-Empirical Plasmon Coefficients of Metals for Nanoplasmonics

Atom-to-Device Simulation of MoO3/Si Heterojunction Solar Cell

Geometric Optimization of Perovskite Solar Cells with Metal Oxide Charge Transport Layers

Contact Info

Product

Resources

About