Literature DB >> 28275663

Dataset demonstrating the modeling of a high performance Cu(In,Ga)Se2 absorber based thin film photovoltaic cell.

Md Asaduzzaman1, Ali Newaz Bahar1, Mohammad Maksudur Rahman Bhuiyan2.   

Abstract

The physical data of the semiconductor materials used in the design of a CIGS absorber based thin film photovoltaic cell have been presented in this data article. Besides, the values of the contact parameter and operating conditions of the cell have been reported. Furthermore, by conducting the simulation with data corresponding to the device structure: soda-lime glass (SLG) substrate/Mo back-contact/CIGS absorber/CdS buffer/intrinsic ZnO/Al-doped ZnO window/Al-grid front-contact, the solar cell performance parameters such as open circuit voltage [Formula: see text], short circuit current density [Formula: see text], fill factor [Formula: see text], efficiency [Formula: see text], and collection efficiency [Formula: see text] have been analyzed.

Entities:  

Keywords:  CIGS; Efficiency; Material properties; Numerical modeling; Solar cell

Year:  2017        PMID: 28275663      PMCID: PMC5328687          DOI: 10.1016/j.dib.2017.02.020

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data The numerical data described in Table 1 provide the properties of the constituent materials used to design a CIGS solar cell.
Table 1

Physical data of materials used for simulation of CIGS solar cell.

Parametersn-ZnO: Ali-ZnOn-CdSp-CIGS
Thickness, tm(µm)0.200.020.053.00
Dielectric constant, Ks7.807.808.2813.60
Refractive index, Ndx2.002.003.163.67
Band gap, Eg(eV)3.303.302.421.21
Electron affinity, χe(eV)4.604.604.404.21
Electron mobility, µn(cm2V1s1)160130350100
Hole mobility, µp(cm2V1s1)40305025
Conduction band effective density of states, Nc(cm3)2.2×10181.5×10181.7×10182×1018
Valence band effective density of states, Nv(cm3)1.8×10191.6×10192.4×10191.6×1019
Donor concentration, Nd(cm3)1×10182×10175×10180
Acceptor concentration, Na(cm3)0001×1019
Electron lifetime, τn(s)5×10−83×10−82×10−81×10−8
Hole lifetime, τp(s)5×10−93×10−96×10−85×10−8
Researchers could be able to use this dataset to design and analyze another theoretical model of a photovoltaic cell. Analyzing these data, one can compare and ensure the validity of other simulation approaches and models. The values of the performance parameters can be used to compare the simulation results of CIGS solar cell.

Data

The physical data for input parameters of different materials used for designing a highly efficient CIGS solar cell have been presented in Table 1. Along with this dataset, the contact parameters and the conditions under which the simulation was conducted have been demonstrated in Table 2, Table 3 respectively. All of these data has been extracted from the published literatures [1], [2], [3], [4], [5], [6], [7], [8], [9]. Fig. 2 and Table 4 describe the performance measurement parameters of the optimized CIGS absorber based photovoltaic cell.
Table 2

Contact parameters for simulation of CIGS solar cell.

ParametersFront contactBack contact
Reflectance0.10.8
Recombination velocity for holes107107
Recombination velocity for electrons107107
Table 3

Operating conditions based on which the simulation was carried out.

Operating conditionsDescription
Illumination conditionAM1.5G
Solar irradiance on earth, E(Wcm2)0.1
Temperature, Tk(K)300.15
Shadowing factor0.05
Fig. 2

J-V characteristic curve for optimized CIGS solar cell.

Table 4

Optimized performance parameters of simulated CIGS solar cell.

Performance parametersParametric value
Open circuit voltage, Voc(mV)856.43
Short circuit current density, Jsc(mAcm2)33.09
Fill factor, FF(%)85.73
Efficiency, η(%)24.27
Collection efficiency, ηc(%)79.46

Experimental design, materials and methods

Device structure of CIGS thin film photovoltaic cell

The schematic design for CIGS absorber based solar cell has been depicted in Fig. 1. A soda lime glass (SLG) has been used as a substrate of the cell. After that, a stack of materials: Mo/Cu(In,Ga)Se2/CdS/i-ZnO/ZnO:Al/Al-grid was proposed for epitaxial growth on the substrate.
Fig. 1

Schematic design of CIGS thin film solar cell.

Performance analysis of CIGS solar cell

ADEPT 2.1 [10], an online device simulator, has been used to simulate the design and analyze the performance of the proposed cell. The performance parameters such as and of the cell has been measured from the J-V characteristic curve as depicted in Fig. 2. Consequently, the , , and have been determined from the simulation outcome of the cell. All of these data describing the performance of the cell are presented in Table 4.
Subject areaApplied physics
More specific subject areaSolar cell device physics
Type of dataTable and figure
How data was acquiredNumerical data for different layer materials of CIGS solar cell has been accumulated from ref[1], [2], [3], [4], [5], [6], [7], [8], [9]and an online simulator, ADEPT 2.1[10], has been used to extract the dataset for performance parameters of the cell.
Data formatFiltered and analyzed
Experimental featuresA CIGS solar cell has been structured as SLG/Mo/CIGS/CdS/i-ZnO/ZnO/Al-grid stack. Afterwards, based on the impacts of band gap, thickness, doping concentration, and others mechanical and electrical properties of the materials the values of the performance parameters have been analyzed.
Data accessibilityDataset is within the data article
  1 in total

1.  An investigation into the effects of band gap and doping concentration on Cu(In,Ga)Se2 solar cell efficiency.

Authors:  Md Asaduzzaman; Mehedi Hasan; Ali Newaz Bahar
Journal:  Springerplus       Date:  2016-05-10
  1 in total
  2 in total

1.  Numerical dataset for analyzing the performance of a highly efficient ultrathin film CdTe solar cell.

Authors:  Rucksana Safa Sultana; Ali Newaz Bahar; Md Asaduzzaman; Mohammad Maksudur Rahman Bhuiyan; Kawsar Ahmed
Journal:  Data Brief       Date:  2017-04-19

2.  Modeling and performance analysis dataset of a CIGS solar cell with ZnS buffer layer.

Authors:  Md Billal Hosen; Ali Newaz Bahar; Md Karamot Ali; Md Asaduzzaman
Journal:  Data Brief       Date:  2017-07-26
  2 in total

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