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Performance evaluation of monocrystalline and polycrystalline-based solar cell

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Abstract

This paper exhibits the performance of crystalline-based solar cells (polycrystalline and monocrystalline) as well as the comparative analysis of these solar cells following various types of orientation in the solar plant. Since the global energy demand is increasing rapidly, different sorts of renewable energy have been used in the last decades to meet this massive demand all over the world. From recent studies, solar has been considered the most promising among these renewable sources. To analyze the performance, the geographical site (Savar, Dhaka) was selected which has a latitude of 23.8538° and a longitude of 90.2534°. In this study, the most effective polycrystalline and monocrystalline solar cell has been founded which is 440 and 370 wp, respectively. Regarding this, a grid-connected PV system (12.3 Kwp) has been simulated which showed the performance ratio of the monocrystalline cell was 83.55%, which was better than the polycrystalline-based solar cell which was 79.6%. In terms of different kinds of orientations, monocrystalline at dual-axis tracking planes showed the highest value of energy injection to the grid was 25.8 MWh/year, while the least value has been founded in the fixed orientation plane which was 20.6 MWh/year. In this perspective, polycrystalline showed 23.9 and 19.5 MWh/year for dual-axis tracking and fixed orientation planes, respectively. Monocrystalline showed more energy injected into the grid compared to polycrystalline technologies for every orientation in the plant as well as the highest value of performance ratio.

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Abbreviations

Poly:

Polycrystalline

Mono:

Monocrystalline

PV:

Photovoltaic

STC:

Standard test condition

GSTC :

Total solar radiation under STC (KW/m2)

Gopt :

Total in-plane solar insolation (KWh/m2)

EAC :

AC energy output (KWh)

Edaily :

Total daily total AC energy output (KWh)

Yf :

Final yield (KWh/KWp)

Yrf :

Reference yield (KWh/KWp)

PR:

Performance ratio

E_Grid:

Energy injected into grid

E_Array:

Effective energy at the output of the array

T_Amb:

Ambient average temperature °C

References

  1. Islam, R., Bhuiyan, A.B.M.N., Ullah, M.W.: An overview of concentrated solar power (CSP) technologies and its opportunities in Bangladesh (2017). https://doi.org/10.1109/ECACE.2017.7913020

  2. Hui, S.C.M., Chan S.C.: Integration of green roof and solar photovoltaic systems. In: Jt. Symp. 2011 Integr. Build. Des. New Era Sustain., vol. 2011, no. November, pp. 1–12 (2011)

  3. IEA-PVPS Task 2, Analysis of Photovoltaic Systems. Report IEA-PVPS T2-01, December 2000. [Online]. http://www.iea-pvps-task2.org/

  4. Bhuiyan, N., Ullah, W., Islam, R., Ahmed, T., Mohammad, N.: Performance optimisation of parabolic trough solar thermal power plants–a case study in Bangladesh. Int. J. Sustain. Energy 39(2), 113–131 (2020). https://doi.org/10.1080/14786451.2019.1649263

    Article  Google Scholar 

  5. Baghdadi, I., El Yaakoubi, A., Attari, K., Leemrani, Z., Asselman, A.: Performance investigation of a PV system connected to the grid. Procedia Manuf. 22, 667–674 (2018). https://doi.org/10.1016/j.promfg.2018.03.096

    Article  Google Scholar 

  6. Hui, S., Hei-Man, C.: Development of modular green roofs for high-density urban cities. In: World Green Roof Congr., pp. 1–18 (2008) [Online]. https://www.elteasygreen.com

  7. Hui, S.C.M.: Low energy building design in high density urban cities. Renew. Energy 24(3–4), 627–640 (2001). https://doi.org/10.1016/S0960-1481(01)00049-0

    Article  Google Scholar 

  8. Satish, M., Santhosh, S., Yadav, A.: Simulation of a Dubai based 200 KW power plant using PVsyst software. In: 2020 7th Int. Conf. Signal Process. Integr. Networks, SPIN 2020, pp. 824–827 (2020). https://doi.org/10.1109/SPIN48934.2020.9071135

  9. Nayan, M.F., Ullah, S.M.S., Saif, S.N.: Comparative analysis of PV module efficiency for different types of silicon materials considering the effects of environmental parameters. In: 2016 3rd Int. Conf. Electr. Eng. Inf. Commun. Technol. iCEEiCT 2016, no. Dc (2017). https://doi.org/10.1109/CEEICT.2016.7873089

  10. Decker, B., Jahn, U.: Performance of 170 grid connected PV plants in northern Germany—analysis of yields and optimization potentials. Sol. Energy 59(4–6–6 pt 4), 127–133 (1997). https://doi.org/10.1016/S0038-092X(96)00132-6

    Article  Google Scholar 

  11. Allouhi, A., Saadani, R., Kousksou, T., Saidur, R., Jamil, A., Rahmoune, M.: Grid-connected PV systems installed on institutional buildings: technology comparison, energy analysis and economic performance. Energy Build. 130, 188–201 (2016). https://doi.org/10.1016/j.enbuild.2016.08.054

    Article  Google Scholar 

  12. Sharma, V., Chandel, S.S.: Performance analysis of a 190 kWp grid interactive solar photovoltaic power plant in India. Energy 55, 476–485 (2013). https://doi.org/10.1016/j.energy.2013.03.075

    Article  Google Scholar 

  13. Edalati, S., Ameri, M., Iranmanesh, M.: Comparative performance investigation of mono- and poly-crystalline silicon photovoltaic modules for use in grid-connected photovoltaic systems in dry climates. Appl. Energy 160, 255–265 (2015). https://doi.org/10.1016/j.apenergy.2015.09.064

    Article  Google Scholar 

  14. Kymakis, E., Kalykakis, S., Papazoglou, T.M.: Performance analysis of a grid connected photovoltaic park on the island of Crete. Energy Convers. Manag. 50(3), 433–438 (2009). https://doi.org/10.1016/j.enconman.2008.12.009

    Article  Google Scholar 

  15. Ferrada, P., Araya, F., Marzo, A., Fuentealba, E.: Performance analysis of photovoltaic systems of two different technologies in a coastal desert climate zone of Chile. Sol. Energy 114, 356–363 (2015). https://doi.org/10.1016/j.solener.2015.02.009

    Article  Google Scholar 

  16. Ghiani, E., Pilo, F., Cossu, S.: Evaluation of photovoltaic installations performances in Sardinia. Energy Convers. Manag. 76, 1134–1142 (2013). https://doi.org/10.1016/j.enconman.2013.09.012

    Article  Google Scholar 

  17. Padmavathi, K., Daniel, S.A.: Performance analysis of a 3MWp grid connected solar photovoltaic power plant in India. Energy Sustain. Dev. 17(6), 615–625 (2013). https://doi.org/10.1016/j.esd.2013.09.002

    Article  Google Scholar 

  18. Kumar, N.M., Dasari, S., Reddy, J.B.: Availability factor of a PV power plant: evaluation based on generation and inverter running periods. Energy Procedia 147, 71–77 (2018). https://doi.org/10.1016/j.egypro.2018.07.035

    Article  Google Scholar 

  19. Kandasamy, C.P., Prabu, P., Niruba, K.: Solar potential assessment using PVSYST software. In: Proc. 2013 Int. Conf. Green Comput. Commun. Conserv. Energy, ICGCE 2013, pp. 667–672 (2013). https://doi.org/10.1109/ICGCE.2013.6823519

  20. Shiva Kumar, B., Sudhakar, K.: Performance evaluation of 10 MW grid connected solar photovoltaic power plant in India. Energy Rep. 1, 184–192 (2015). https://doi.org/10.1016/j.egyr.2015.10.001

    Article  Google Scholar 

  21. Radka, M.: Swera: solar and wind energy resource assessment. In: 38th ASES Natl. Sol. Conf. 2009, Sol. 2009, vol. 8, no. February, pp. 4318–4323 (2009)

  22. BBS: Statistical year book. Bangladesh Bureau of Statistics, Statistics Division, Ministry of Planning, no. September, pp. 1–14 (2012)

  23. Rahman, M.M., Ahmed, A.U., Dey, P., Habib, A., Reza, C.M.F.S., Aziz, F.: Solar energy potential in Bangladesh. In: International conference on mechanical engineering and renewable energy 2013 (ICMERE2013), vol 2013, pp 24–27

  24. Rahim, M.M.M., Hosam-E-Haider, M.: Renewable energy scenario in Bangladesh: opportunities and challenges. In: 2nd Int. Conf. Electr. Eng. Inf. Commun. Technol. iCEEiCT 2015, no. May, pp. 21–23 (2015). https://doi.org/10.1109/ICEEICT.2015.7307466

  25. Islam, A.K.M.S., Islam, M., Rahman, T.: Effective renewable energy activities in Bangladesh. Renew. Energy 31(5), 677–688 (2006). https://doi.org/10.1016/j.renene.2005.08.004

    Article  Google Scholar 

  26. Cabraal, A., Ward, W.A., Bogach, V.S., Jain, A.: Living in the light : the Bangladesh solar home systems story. © World Bank, License: CC BY 3.0 IGO, World Bank, Washington, DC (2021). https://openknowledge.worldbank.org/handle/10986/35311

  27. Halder, P.K., Paul, N., Joardder, M.U.H., Sarker, M.: Energy scarcity and potential of renewable energy in Bangladesh. Renew. Sustain. Energy Rev. 51, 1636–1649 (2015). https://doi.org/10.1016/j.rser.2015.07.069

    Article  Google Scholar 

  28. Campbell, J., Zemen, Y., Richardson, B., Striner, B.: Photovoltaic module performance and degradation as compared in distinct climatic regions. In: Conf. Rec. IEEE Photovolt. Spec. Conf., pp. 1250–1255 (2012). https://doi.org/10.1109/PVSC.2012.6317829

  29. Zhao, J., Wang, A., Green, M.A., Ferrazza, F.: 19.8% Efficient ‘Honeycomb’ textured multicrystalline and 24.4% monocrystalline silicon solar cells. Appl. Phys. Lett. 73(14), 1991–1993 (1998). https://doi.org/10.1063/1.122345

    Article  Google Scholar 

  30. Nandi, S.K., Hoque, M.N., Ghosh, H.R., Chowdhury, R.: Assessment of wind and solar energy resources in Bangladesh. Arab. J. Sci. Eng. 38(11), 3113–3123 (2013). https://doi.org/10.1007/s13369-012-0429-5

    Article  Google Scholar 

  31. Um H.D., Hwang, I., Choi, D., Seo, K.: Flexible crystalline-silicon Photovoltaics: light management with surface structures. Acc. Mater. Res. 2(9):701–713 (2021). https://doi.org/10.1021/accountsmr.1c00038

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Correspondence to A. B. M. Noushad Bhuiyan.

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Appendix

Appendix

See Appendix Tables

Table 5 Simulation results for several types of bifacial modules (250wp 26Vmono, 400wp 32 V mono, 440wp 35 V mono, 440wp 35 V mono)

5,

Table 6 Simulation results for several types of Vmax 1500 V modules (300wp 27 V mono, 340wp 28 V mono, 370wp 29 V mono, 400wp 32 V mono, 440wp 35 V)

6, and

Table 7 Simulation results for several types of polycrystalline modules (110wp 29 V, 60wp 14 V poly, 190wp 22 V poly)

7.

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Ray, M., Kabir, M.F., Raihan, M. et al. Performance evaluation of monocrystalline and polycrystalline-based solar cell. Int J Energy Environ Eng 14, 949–960 (2023). https://doi.org/10.1007/s40095-023-00558-0

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