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Journal articles on the topic 'Solar Cell Modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Pfleiderer, H., and B. Bullemer. "Multi-region solar cell modeling." Solar Energy Materials and Solar Cells 46, no. 1 (1997): 17–27. http://dx.doi.org/10.1016/s0927-0248(96)00090-6.

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2

Plotnikova, E. YU, A. V. Arsentiev, and M. E. Harchenko. "Textured solar cell modeling in TCAD." IOP Conference Series: Materials Science and Engineering 1035, no. 1 (2021): 012002. http://dx.doi.org/10.1088/1757-899x/1035/1/012002.

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3

Li, Chun, and Shi Qiong Zhou. "The Modeling of Solar Cells." Applied Mechanics and Materials 716-717 (December 2014): 1438–41. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1438.

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The world is increasingly experiencing a great need for additional power resources so as to reduce dependency on conventional sources, and solar energy could be an answer to that need. However, the performance of solar energy depends on solar radiation, ambient temperature, and load impedance. A practical engineering mathematic model of solar cell is developed and a general simulation model of PV cell is created based on Simulink system, which is convenient to be applied to the research and development of solar cell.

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4

Gupta, Deepak K., Marco Barink, and Matthijs Langelaar. "CPV solar cell modeling and metallization optimization." Solar Energy 159 (January 2018): 868–81. http://dx.doi.org/10.1016/j.solener.2017.11.015.

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5

Workman, Maniell, Zhi David Chen, and Sarhan Musa. "Perovskite Solar Cell Simulation Using Modeling Software." ECS Meeting Abstracts MA2020-02, no. 40 (2020): 2632. http://dx.doi.org/10.1149/ma2020-02402632mtgabs.

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6

Bhide, Sachin A., and Jonathan Maisonneuve. "Modeling and Simulation of a Photosynthetic Solar Cell." Transactions of the ASABE 62, no. 2 (2019): 475–83. http://dx.doi.org/10.13031/trans.13020.

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Abstract. Solar energy’s potential as a clean, abundant, and economical energy source can be effectively exploited if it is converted to electricity. Photosynthetic solar cells (PSCs) convert sunlight to electricity by using plant cells via photosynthesis and respiration. These processes can be interrupted to provide a path of lesser resistance for the transfer of protons and electrons in a proton exchange membrane fuel cell system. PSCs require no organic fuel, no active feeding system, and produce carbon-neutral power both day and night. In this article, the mechanisms of photosynthesis that

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7

Thosar, Manoj. "Modeling For High Efficiency GaN/InGaN Solar Cell." IOSR Journal of Electrical and Electronics Engineering 4, no. 1 (2013): 1–4. http://dx.doi.org/10.9790/1676-0410104.

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8

G. Younise, Ghada. "Modeling and Analysis of Homojunction Silicon Solar Cell." Rafidain Journal of Science 22, no. 1 (2011): 72–79. http://dx.doi.org/10.33899/rjs.2011.32483.

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9

Gaury, Benoit, Yubo Sun, Peter Bermel, and Paul M. Haney. "Sesame: A 2-dimensional solar cell modeling tool." Solar Energy Materials and Solar Cells 198 (August 2019): 53–62. http://dx.doi.org/10.1016/j.solmat.2019.03.037.

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10

Huang, Joanne, and Victor Moroz. "Mono-Crystalline Silicon Solar Cell Optimization and Modeling." ECS Transactions 33, no. 17 (2019): 33–40. http://dx.doi.org/10.1149/1.3553345.

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11

Andersson, Viktor, Kristofer Tvingstedt, and Olle Inganäs. "Optical modeling of a folded organic solar cell." Journal of Applied Physics 103, no. 9 (2008): 094520. http://dx.doi.org/10.1063/1.2917062.

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12

Górecki, Krzysztof, Jacek Dąbrowski, and Ewa Krac. "Modeling Solar Cells Operating at Waste Light." Energies 14, no. 10 (2021): 2871. http://dx.doi.org/10.3390/en14102871.

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The article concerns the investigations of solar cells irradiated by waste light. The measurement method and instruments used are presented. Using this method, the spectra of the light emitted by different light sources are presented and the results of measurements of sensitivity characteristics of the selected solar cell are shown. On the basis of the obtained results of the measurements, a new model of a solar cell dedicated for SPICE is formulated. In this model, an influence of spectrum characteristics of the modeled solar cell on its photocurrent is taken into account. The correctness of

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13

Baker-Finch, Simeon C., Keith R. McIntosh, Mason L. Terry, and Yimao Wan. "Isotextured Silicon Solar Cell Analysis and Modeling 2: Recombination and Device Modeling." IEEE Journal of Photovoltaics 2, no. 4 (2012): 465–72. http://dx.doi.org/10.1109/jphotov.2012.2204390.

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14

GopalKrishna, B., and Sanjay Tiwari. "Modeling of Abnormal Hysteresis in CsPbBr3 based Perovskite Solar Cells." Journal of Ravishankar University (PART-B) 34, no. 1 (2021): 01–08. http://dx.doi.org/10.52228/jrub.2021-34-1-1.

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Perovskite solar cells are emerging photovoltaic devices with PCE of above 25%. Perovskite are suitable light absorber materials in solar cells with excellent properties like appropriate band gap energy, long carrier lifetime and diffusion length, and high extinction coefficient. Simulation study is an important technique to understand working mechanisms of perovskites solar cells. The study would help develop efficient, stable PSCs experimentally. In this study, modeling of perovskite solar cell was carried out through Setfos software. The optimization of different parameters of layer structu

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15

Gulomov, Jasurbek, Rayimjon Aliev, Murad Nasirov, and Jakhongir Ziyoitdinov. "MODELING METAL NANOPARTICLES INFLUENCE TO PROPERTIES OF SILICON SOLAR CELLS." International Journal of Advanced Research 8, no. 11 (2020): 336–45. http://dx.doi.org/10.21474/ijar01/12015.

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Nanotechnologies are entering every field. Nanoparticles have been widely used in medicine and technology. We decided to study the behavior of nanoparticles under the influence of light and its effects on solar cells, based on a number of properties. How gold and silver nanoparticles are introduced into the optical layer of the solar cell has been studied enough to affect the properties of the solar cell. However, the effect of silicon-based solar cell metal nanoparticles in the n domain on the solar cell has not been sufficiently studied. In addition, in this study, the properties of solar ce

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16

Abuzairi, Tomy, and Nji Raden Poespawati. "A Simple Optimization of Triple-Junction Solar Cell nc-Si:H/a-Si:H/a-SiGe:H Using Computer Modeling and Robust Design." Advanced Materials Research 896 (February 2014): 455–58. http://dx.doi.org/10.4028/www.scientific.net/amr.896.455.

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We report for the first time a simple optimization of triple-junction solar cell nc-Si:H/a-Si:H/a-SiGe:H using computer modeling and Robust Design. Firstly we performed a computer modeling of solar cell by wxAMPS software. Subsequently, we investigated the parameters of the solar cell layers and the effect of the solar cell efficiency using Robust Design via Taguchi method, ANOVA and additive model. The results show that the a-Si:H middle absorber cell has the highest contribution of solar cell efficiency at 40.87% and the nc-Si:H n-back layer cell has the second highest contribution of solar

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17

Wang, Yongze, Jianping Xi, Ning Han, and Jiangjian Xie. "Modeling method research of flexible amorphous silicon solar cell." Applied Solar Energy 51, no. 1 (2015): 41–46. http://dx.doi.org/10.3103/s0003701x15010132.

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18

Asif, Samina, and Yun Li. "Solar Cell Modeling and Parameter Optimization Using Simulated Annealing." Journal of Propulsion and Power 24, no. 5 (2008): 1018–22. http://dx.doi.org/10.2514/1.35037.

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19

Fell, Andreas, Jonas Schön, Martin C. Schubert, and Stefan W. Glunz. "The concept of skins for silicon solar cell modeling." Solar Energy Materials and Solar Cells 173 (December 2017): 128–33. http://dx.doi.org/10.1016/j.solmat.2017.05.012.

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20

Suliman, Rajab, Abu Farzan Mitul, Lal Mohammad, Gemechis Djira, Yunpeng Pan, and Qiquan Qiao. "Modeling of organic solar cell using response surface methodology." Results in Physics 7 (2017): 2232–41. http://dx.doi.org/10.1016/j.rinp.2017.04.037.

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21

Gautam, Ruchita, Pravesh Singh, A. S. Verma, and Sarita Kumari. "Device Modeling of Thin Film CIGS/ZnSe Solar Cell." Advanced Science Letters 20, no. 7 (2014): 1554–57. http://dx.doi.org/10.1166/asl.2014.5567.

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22

Kuang, Yawei, Yushen Liu, Yulong Ma, et al. "Modeling and Design of Graphene GaAs Junction Solar Cell." Advances in Condensed Matter Physics 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/326384.

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Graphene based GaAs junction solar cell is modeled and investigated by Silvaco TCAD tools. The photovoltaic behaviors have been investigated considering structure and process parameters such as substrate thickness, dependence between graphene work function and transmittance, and n-type doping concentration in GaAs. The results show that the most effective region for photo photogenerated carriers locates very close to the interface under light illumination. Comprehensive technological design for junction yields a significant improvement of power conversion efficiency from 0.772% to 2.218%. Thes

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23

Stangl, R., J. Ferber, and J. Luther. "On the modeling of the dye-sensitized solar cell." Solar Energy Materials and Solar Cells 54, no. 1-4 (1998): 255–64. http://dx.doi.org/10.1016/s0927-0248(98)00077-4.

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24

Smith, D. D., J. M. Gee, M. D. Bode, and J. C. Jimeno. "Circuit modeling of the emitter-wrap-through solar cell." IEEE Transactions on Electron Devices 46, no. 10 (1999): 1993–99. http://dx.doi.org/10.1109/16.791987.

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25

Baker-Finch, Simeon C., Keith R. McIntosh, and Mason L. Terry. "Isotextured Silicon Solar Cell Analysis and Modeling 1: Optics." IEEE Journal of Photovoltaics 2, no. 4 (2012): 457–64. http://dx.doi.org/10.1109/jphotov.2012.2206569.

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26

Rothwarf, Allen. "CuInSe2/Cd(Zn)S solar cell modeling and analysis." Solar Cells 16 (January 1986): 567–90. http://dx.doi.org/10.1016/0379-6787(86)90110-9.

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27

Huang, Rong-Ting, Sorab K. Ghandhi, and Jose M. Borrego. "Modeling of a GaAs-Ge monolithic tandem solar cell." Solar Energy Materials 13, no. 6 (1986): 469–79. http://dx.doi.org/10.1016/0165-1633(86)90080-8.

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28

Rahman, Md Mostafizur, Md Moidul Islam, Mission Kumar Debnath, S. M. Saifullah, Samera Hossein, and Nusrat Jahan Bristy. "Light Entrapping, Modeling & Effect of Passivation on Amorphous Silicon Based PV Cell." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 4, no. 2 (2016): 50. http://dx.doi.org/10.3991/ijes.v4i2.5848.

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This research paper present efforts to enhance the performance of amorphous silicon p-i-n type solar cell using sidewall passivation. For sidewall passivation, MEMS insulation material Al2O3 was used. The main objective of this paper is to observe the effect of sidewall passivation in amorphous silicon solar cell and increase the conversion efficiency of the solar cell. Passivation of Al2O3 is found effective to subdue reverse leakage. It increases the electric potential generated in the designed solar cell. It also increases the current density generated in the solar cell by suppressing the l

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29

Adibzadeh, Farzaneh, and Saeed Olyaee. "Plasmonic Enhanced InP Nanowire Array Solar Cell through Optoelectronic Modeling." Photonics 8, no. 4 (2021): 90. http://dx.doi.org/10.3390/photonics8040090.

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Vertical nanowire (NW) arrays are a promising candidate for the next generation of the optoelectronics industry because of their significant features. Here, we investigated the InP NW array solar cells and obtained the optoelectronic properties of the structure. To improve the performance of the NW array solar cells, we placed a metal layer of Au at the bottom of the NWs and considered their top part to be a conical-shaped parabola. Using optical and electrical simulations, it has been shown that the proposed structure improves the absorption of light in normal incidence, especially at wavelen

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30

Devarakonda, L., and S. Mil'shtein. "Limiting Solar Cell Heat-Up by Quantizing High Energy Carriers." ISRN Renewable Energy 2012 (July 25, 2012): 1–5. http://dx.doi.org/10.5402/2012/862790.

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Under solar radiation the efficiency of solar cells decreases as a result of heating up by short wavelengths photons. To minimize loss of efficiency with increasing temperatures, we designed a heterostructure AlGaAs/AlGaAs/GaAs cascaded p-i-n solar cells with 30 Å wide quantum wells and 10 Å wide barriers in p and i regions. Our modeling demonstrated that quantizing high energy carriers in the superlattice prevents scattering of excessive electron energies, thus decreasing the temperature rise per unit of time by a factor of 2. The modeling based on continuity equations included integration of

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31

Shukla, Naman, Dharamlal Prajapati, and Sanjay Tiwari. "Investigation on Design and Device Modeling of High Performance CH3NH3PbI3-xClx Perovskite Solar Cells." Journal of Ravishankar University (PART-B) 34, no. 1 (2021): 58–63. http://dx.doi.org/10.52228/jrub.2021-34-1-8.

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Perovskite solar cells fabricated with inexpensive and simple technology exhibits high efficiency has witnessed worldwide boom in research. The optimization of solar cell can be done through modeling and simulation. The optical and electrical modeling are the ways to optimize different parameter such as thickness, defect density, doping density and material selection for fabricating stable and highly efficient perovskite solar cells. In this research work, electrical modeling of solar cell is done throughSolar Cell Capacitance Simulator(SCAPS-1D).The architecture of the solar cell is n-i-p dev

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32

Jasurbek Gulomov, Rayimjon Aliev, Murodjon Abduvoxidov, Avazbek Mirzaalimov, and Navruzbek Mirzaalimov. "Exploring optical properties of solar cells by programming and modeling." Global Journal of Engineering and Technology Advances 5, no. 1 (2020): 032–38. http://dx.doi.org/10.30574/gjeta.2020.5.1.0080.

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One of the main factors influencing the efficiency of solar cells is their optical properties. So, most light is reflecting back and transmit through solar cell. This leads to a decrease in the efficiency. We know that the refractive index of silicon is 3-4 depending on the wavelength of light, and the refractive index of air is about 1. This causes to reflect 34 percentages of the incident light. To reduce the amount of reflected light, the surface of the solar cell should be covered with an anti-reflection layer. It is important to determine the conditions of the types and thicknesses of the

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33

Hussein Ali, Zaid, Abdullah Khalid Ahmed, and Amer Tayes Saeed. "Modeling Solar Modules Performance Under Temperature and Solar Radiation of Western Iraq." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 4 (2018): 1842. http://dx.doi.org/10.11591/ijpeds.v9.i4.pp1842-1850.

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<p>This paper demonstrates a mathematical representation of Photovoltaic (PV) solar cells and hence panels performance. One-diode solar cell model is implemented to simulate the cell and extract the performance indications. The tested PV modules are BP Solar (60 Watt) and Synthesis Power (50 Watts), which are operating in a PV generation system in the University of Anbar - Iraq, College of Applied Sciences. The math model demonstrates Power versus Voltage (P-V) characteristic curves to depict and study various parameters with affecting variations in the PV array performance. The paramete

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34

Dennai, B., Hassane Ben Slimane, and A. Helmaoui. "Modeling of Cascade Solar Cell Ga0.5In0.5P /GaAs Using AMPS-1D." Advanced Materials Research 685 (April 2013): 174–78. http://dx.doi.org/10.4028/www.scientific.net/amr.685.174.

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The primary objective of this modeling investigation is to optimize a multijunction cascade device under the AM1.5G spectrum. Based on previous studies, GaInP and GaAs cells between them tunnel junction GaAs, because of their energy band gaps, can be combined together to achieve high-efficiency double-junction devices. In this study, the top cell is made of Ga0.5In0.5P (1.74 eV) while the bottom cell is made of GaAs (1.42 eV). In order to avoid the losses and design constraints observed in two-terminal and four-terminal devices, the tandem cell GaInP /GaAs is designed with tunnel junction. In

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35

El-Huni, Walid, Anne Migan-Dubois, Zakaria Djebbour, Paul L. Voss, Jean-Paul Salvestrini, and Abdallah Ougazzaden. "Optimization of semibulk InGaN-based solar cell using realistic modeling." Solar Energy 157 (November 2017): 687–91. http://dx.doi.org/10.1016/j.solener.2017.08.074.

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36

Berbezier, A., and F. Michelini. "Modeling of quantum dot junction for third generation solar cell." Thin Solid Films 543 (September 2013): 16–18. http://dx.doi.org/10.1016/j.tsf.2013.03.080.

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37

Dabbabi, Samar, Tarek Ben Nasr, and Najoua Kamoun-Turki. "Parameters optimization of CIGS solar cell using 2D physical modeling." Results in Physics 7 (2017): 4020–24. http://dx.doi.org/10.1016/j.rinp.2017.06.057.

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38

Ravishankar, Sandheep, Clara Aranda, Sandy Sanchez, Juan Bisquert, Michael Saliba, and Germà Garcia-Belmonte. "Perovskite Solar Cell Modeling Using Light- and Voltage-Modulated Techniques." Journal of Physical Chemistry C 123, no. 11 (2019): 6444–49. http://dx.doi.org/10.1021/acs.jpcc.9b01187.

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39

Chakrasali, R. L., V. R. Sheelavant, and H. N. Nagaraja. "Network approach to modeling and simulation of solar photovoltaic cell." Renewable and Sustainable Energy Reviews 21 (May 2013): 84–88. http://dx.doi.org/10.1016/j.rser.2013.01.001.

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40

Shugurov, K. Yu, A. M. Mozharov, G. A. Sapunov, et al. "GaN-nanowire/Si solar cell: numerical modeling, fabrication and characterization." Journal of Physics: Conference Series 1199 (March 2019): 012030. http://dx.doi.org/10.1088/1742-6596/1199/1/012030.

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41

Paxman, M., J. Nelson, B. Braun, et al. "Modeling the spectral response of the quantum well solar cell." Journal of Applied Physics 74, no. 1 (1993): 614–21. http://dx.doi.org/10.1063/1.355275.

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42

Cho, Moon-Taek, and Hyun-Sook Lee. "A Study on PCS Characteristics Using Modeling of Solar Cell." International Journal of Computing and Digital Systems 9, no. 3 (2020): 495–501. http://dx.doi.org/10.12785/ijcds/090313.

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43

Sadanand and DK Dwivedi. "Modeling of CZTSSe solar photovoltaic cell for window layer optimization." Optik 222 (November 2020): 165407. http://dx.doi.org/10.1016/j.ijleo.2020.165407.

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44

Dennai, B., H. Ben Slimane, A. Helmaoui, and M. N. Tandjaoui. "Modeling of Tandem Solar Cell InP/Ge using AMPS-1D." Energy Procedia 36 (2013): 238–42. http://dx.doi.org/10.1016/j.egypro.2013.07.027.

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45

Venkatraman, Vishwesh, Per-Olof Åstrand, and Bjørn Kåre Alsberg. "Quantitative structure-property relationship modeling of Grätzel solar cell dyes." Journal of Computational Chemistry 35, no. 3 (2013): 214–26. http://dx.doi.org/10.1002/jcc.23485.

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46

Rasheed, Mohammed, Mustafa Nuhad Al-Darraji, Suha Shihab, Ahmed Rashid, and Taha Rashid. "The numerical Calculations of Single-Diode Solar Cell Modeling Parameters." Journal of Physics: Conference Series 1963, no. 1 (2021): 012058. http://dx.doi.org/10.1088/1742-6596/1963/1/012058.

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47

Blome, Mark, Kevin McPeak, Sven Burger, Frank Schmidt, and David Norris. "Back-reflector design in thin-film silicon solar cells by rigorous 3D light propagation modeling." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 4 (2014): 1282–95. http://dx.doi.org/10.1108/compel-12-2012-0367.

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Purpose – The purpose of this paper is to find an optimized thin-film amorphous silicon solar cell design by numerically optimizing the light trapping efficiency of a pyramid-structured back-reflector using a frequency-domain finite element Maxwell solver. For this purpose short circuit current densities and absorption spectra within the investigated solar cell model are systematically analyzed. Furthermore, the authors employ a topology simulation method to accurately predict the material layer interfaces within the investigated solar cell model. The method simulates the chemical vapor deposi

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48

Mekky, Abdel-baset H. "Simulation and modeling of the influence of temperature on CdS/CdTe thin film solar cell." European Physical Journal Applied Physics 87, no. 3 (2019): 30101. http://dx.doi.org/10.1051/epjap/2019190037.

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Semiconductor materials cadmium sulfide (CdS) and cadmium telluride (CdTe) are employed in the fabrication of thin film solar cells of relatively excessive power conversion efficiency and low producing price. Simulations of thin film CdS/CdTe solar cell were carried out using SCAPS-1D. The influence of temperature field on the variation of CdTe solar cell parameters such as current–voltage, capacitance–voltage characteristics and the external quantum efficiency was investigated theoretically. For use temperatures, one obtains the external quantum efficiency has the same profiles. However, the

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49

Gong, Zheng, Jing Jing Wang, Mao Fa Gong, Ning Liu, and Ji He Yang. "Modeling and Simulation of PV Cell and its Application of MPPT." Applied Mechanics and Materials 229-231 (November 2012): 2025–28. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.2025.

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According to the internal physical structure of photovoltaic cell and output V-I characteristic, the paper construct a solar module simulating model by engineering calculation method under the Simulink environment. In the light of the limited parameters of photovoltaic cell (PV), the model can give the entire output characteristic curve under the different intensity illuminations and the various temperatures. At the final of the paper, MPPT to solar module adopted a special method is researched based on the Simulink.

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50

Haddout, Assiya, Abderrahim Raidou, and Mounir Fahoume. "Numerical modeling of CdTe solar cells thin film investigation by using PC1D model." World Journal of Engineering 15, no. 5 (2018): 549–55. http://dx.doi.org/10.1108/wje-08-2017-0215.

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Purpose The purpose of this paper is to study the effect of individual layers of cadmium telluride (CdTe) solar cell to improve the efficiency of the photovoltaic cell. Design/methodology/approach To improve the performances of CdTe thin-film solar cells, the thickness of CdTe and cadmium sulfide (CdS) have been modified separately. High-efficiency ultra-thin CdTe solar cell with ZnTe layer as back surface field (BSF) was achieved. The CdTe solar cell is under AM1.5 g illumination using a one-dimensional (1-D) model, i.e. personal computer one dimensional (PC1D). Findings The highest conversio

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