A novel simulator of multijunction solar cells — MSCS-1D

Abu Kowsar, Syed Nazmus Sakib, Masum Billah Billah, Sujoy Dey, Khaledun Nahar Babi, Ali Newaz Bahar, Syed Farid Uddin Farhad

Abstract


In this work, a novel simulation tool named one-dimensional multijunction solar cell simulator (MSCS-1D) has been reported. This tool provides an easy platform to verify whether the intended work on a multijunction solar cell can be simulated as per expectations. A modified version of spectral p-n junction model has been used to develop this simulator. The congenial dialog box and graphical user interface (GUI) facilitate rapid data entry and visualization of the simulated results. To ascertain the performance of MSCS-1D, the simulated results from this tool were compared with MATLAB simulated results and found in good agreement. The newly developed simulator could provide the user with an easy and fast-run operating procedure compared to the complex MATLAB programming as well as other solar cell simulators available in the literature. 


Keywords


Device modeling; multijunction solar cell; interface development; simulator

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References


Burgelman, M., P. Nollet, and S. Degrave, Modelling polycrystalline semiconductor solar cells. Thin Solid Films, 2000. 361: p. 527-532.

Varache, R., et al., Investigation of selective junctions using a newly developed tunnel current model for solar cell applications. Solar Energy Materials and Solar Cells, 2015. 141: p. 14-23.

Pieters, B., J. Krc, and M. Zeman. Advanced numerical simulation tool for solar cells-ASA5. in 2006 IEEE 4th World Conference on Photovoltaic Energy Conference. 2006. IEEE.

Ruhstaller, B., et al. Comprehensive simulation of light-emitting and light-harvesting organic devices. in Organic Light Emitting Materials and Devices XII. 2008. International Society for Optics and Photonics.

Clugston, D.A. and P.A. Basore. PC1D version 5: 32-bit solar cell modeling on personal computers. in Conference Record of the Twenty Sixth IEEE Photovoltaic Specialists Conference-1997. 1997. IEEE.

Mahmoudinezhad, S., et al., Experimental and numerical study on the transient behavior of multi-junction solar cell-thermoelectric generator hybrid system. Energy Conversion and Management, 2019. 184: p. 448-455.

Boukortt, N., S. Patanè, and B. Hadri, Development of High-Efficiency PERC Solar Cells Using Atlas Silvaco. Silicon, 2019. 11(1): p. 145-152.

Zhu, H., et al. Applications of AMPS-1D for solar cell simulation. in AIP Conference Proceedings. 1999. AIP.

Alonso-Ãlvarez, D., et al., Solcore: a multi-scale, Python-based library for modelling solar cells and semiconductor materials. Journal of Computational Electronics, 2018. 17(3): p. 1099-1123.

Selberherr, S., Analysis and simulation of semiconductor devices. 2012: Springer Science & Business Media.

Liu, Y., Y. Sun, and A. Rockett, A new simulation software of solar cells—wxAMPS. Solar Energy Materials and Solar Cells, 2012. 98: p. 124-128.

Liu, Y., et al., Modeling multijunction solar cells by nonlocal tunneling and subcell analysis. IEEE Journal of Photovoltaics, 2018. 8(5): p. 1363-1369.

Michael, S., A. Bates, and M. Green. Silvaco ATLAS as a solar cell modeling tool. in Conference Record of the Thirty-first IEEE Photovoltaic Specialists Conference, 2005. 2005. IEEE.

Hermle, M., et al., Numerical simulation of tunnel diodes for multiâ€junction solar cells. Progress in Photovoltaics: Research and Applications, 2008. 16(5): p. 409-418.

Kowsar, A. and S.F.U. Farhad, High Efficiency Four Junction III-V Bismide Concentrator Solar Cell: Design, Theory, and Simulation. International Journal of Renewable Energy Research (IJRER), 2018. 8(3): p. 1762-1769.

Nell, M.E. and A.M. Barnett, The spectral pn junction model for tandem solar-cell design. IEEE Transactions on Electron Devices, 1987. 34(2): p. 257-266.

Khanom, S., et al. Simulation study of multijunction solar cell incorporating GaAsBi. in Humanitarian Technology Conference (R10-HTC), 2017 IEEE Region 10. 2017. IEEE.

Würfel, P., Physics of solar cells. Vol. 1. 2005: Wiley-vch Weinheim.

Standard, A., G173,“Standard Tables for Reference Solar Spectral Irradiances: Direct Normal and Hemispherical on 37 Tilted Surface,†Amer. Society for Testing Matls., West Conshocken PA, USA, 2007.

Kurtz, S.R., P. Faine, and J. Olson, Modeling of twoâ€junction, seriesâ€connected tandem solar cells using topâ€cell thickness as an adjustable parameter. Journal of Applied Physics, 1990. 68(4): p. 1890-1895.

Kurtz, S., et al., A comparison of theoretical efficiencies of multiâ€junction concentrator solar cells. Progress in Photovoltaics: research and applications, 2008. 16(6): p. 537-546.

Gueymard, C., D. Myers, and K. Emery, Proposed reference irradiance spectra for solar energy systems testing. Solar energy, 2002. 73(6): p. 443-467.

Sakib, S.N., et al. Effect of different solar radiation on the efficiency of GaInP2/GaAs/Ge based multijunction solar cell. in Electrical Information and Communication Technology (EICT), 2015 2nd International Conference on. 2015. IEEE.

Farhad, S.F.U., Effect of the Bandgap, Sun Concentration and Surface Recombination Velocity on the Performance of a III-V Bismide Multijunction Solar Cells. International Journal of Renewable Energy Research (IJRER), 2018. 8(4): p. 2218-2227.

Kowsar, A., et al. Determination of the theoretical efficiency of GaInP/GaAs/GaAs1-xBix multijunction solar cell. in Proc. of the 10th International conf. on fiber optics and Photonics Photonics, India. 2010.

Abu Kowsar, M.A.H., Md Sofikul Islam, Afrina Sharmin and Z.H. Mahmood, Analysis of theoretical efficiencies of GaInP2/GaAs/Ge multijunction solar cell. The Dhaka University Journal of Applied Science and Engineering, 2015. 3(1).

Sze, S.M. and K.K. Ng, Physics of semiconductor devices. 2006: John wiley & sons.

Altermatt, P.P., Models for numerical device simulations of crystalline silicon solar cells—a review. Journal of computational electronics, 2011. 10(3): p. 314.

A. Kowsar et al., 2nd Internaltional Conference on Innovation in Enginnering and Technology (ICIET), 2019, Dhaka, Bangladesh.




DOI (PDF): https://doi.org/10.20508/ijrer.v10i3.11147.g8012

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