Simulation and Modelling of Dye-Sensitized Solar Cells Using MATLAB/Simulink

This paper presents the modelling and simulation of electrical parameters of dye-sensitized solar cells (DSSCs) utilising MATLAB/Simulink. An equivalent single-diode circuit model was developed to represent the physical parameters influencing electron dynamics within the DSSC. The absorption coefficients of three natural dyes extracted with acetone were analyzed: Vernonia amygdalina (VAA), Geoppertia macrosepala (GMA), and Cnestis ferruginea (CFA). These coefficients were determined from existing UV-Vis analysis data. The model simulated the I-V and P-V characteristics of DSSCs sensitized with natural dyes across varying temperatures (275 - 325 K) and solar irradiance (320 - 1000 W/m²). Results indicated temperature increases slightly to enhance voltage output, while higher solar irradiance significantly boosts current across all dyes. Comparative analysis showed that dyes with higher absorption coefficients, such as GMA and VAA, produced greater current and power outputs than CFA. The model's validity was confirmed through experimental data, with minor discrepancies attributed to lower operating temperatures and greater TiO₂-layer thickness in the experimental setup. A functional DSSC solar panel comprising 500 GMA-sensitized cells was designed, achieving a maximum output of approximately 0.01 W. This research provides an effective MATLAB/Simulink model for predicting the performance of DSSCs with natural dyes and enhances understanding and optimization prior to fabrication.

Renewable energy, Dye Sensitized Solar Cell (DSSC), MATLAB/Simulink, Absorption coefficient, Solar irradiance

1. M. Grätzel, “Photoelectrochemical cells,” Nature, vol. 414, no. 6861, pp. 338–344, 2001. [Google Scholar] [Crossref]

2. K. Sharma, V. Sharma, and S. S. Sharma, “Dye-sensitized solar cells: Fundamentals and current status,” Nanoscale Research Letters, vol. 13, no. 1, p. 381, 2018. [Google Scholar] [Crossref]

3. M. I. Khan, H. Ullah, M. A. Khan, and A. Khan, “Recent advancements in dye-sensitized solar cells: A review of sensitizers, electrolytes, and photoelectrodes,” Journal of Energy Storage, vol. 71, p. 108147, 2023. [Google Scholar] [Crossref]

4. A. Soge, A. Oshin, C. Ulbricht, F. Mayr, O. Olukanni, O. Dairo, M. Sanyaolu, O. Adeyemi, S. Tekoglu, M. Scharber, and A. Willoughby, “Comparative study of dye-sensitized solar cells with natural dye extracts of Vernonia amygdalina, Goeppertia macrosepala leaves, and Cnestis ferruginea fruit as photosensitizers,” Journal of Electronic Materials, vol. 54, no. 10, pp. 8628–8642, 2025. [Google Scholar] [Crossref]

5. A. Hagfeldt, G. Boschloo, L. Sun, L. Kloo, and H. Pettersson, “Dye-sensitized solar cells,” Chemical Reviews, vol. 110, no. 11, pp. 6595–6663, 2010. [Google Scholar] [Crossref]

6. A. S. Al-Ezzi and M. N. M. Ansari, “Photovoltaic solar cells: A review,” Applied System Innovation, vol. 5, no. 4, p. 67, 2022. [Google Scholar] [Crossref]

7. Y. Mallal, D. K. Sharma, L. El Bahir, and T. Hassboun, “Temperature prediction-based realistic performance analysis of various electrical configurations of solar PV panels,” Solar Energy, vol. 219, pp. 19–28, 2021. [Google Scholar] [Crossref]

8. A. M. Farayola, “Solar cell parameter extraction and power optimization in photovoltaic systems,” 2023. [Google Scholar] [Crossref]

9. A. Carella, F. Borbone, and R. Centore, “Research progress on photosensitizers for DSSC,” Frontiers in Chemistry, vol. 6, p. 481, 2018. [Google Scholar] [Crossref]

10. K. Snimaetsya, “Equivalent circuit modeling of dye-sensitized solar cells: A review of recent advances,” Renewable and Sustainable Energy Reviews, vol. 135, p. 110149, 2021. [Google Scholar] [Crossref]

11. Y. Mallal, D. K. Sharma, L. El Bahir, and T. Hassboun, “Temperature prediction-based realistic performance analysis of various electrical configurations of solar PV panel,” Solar Energy, vol. 219, pp. 19–28, 2021. [Google Scholar] [Crossref]

12. P. K. Olulope, A. O. Adeleye, and A. B. Amomoh, “Design and simulation of dye sensitized solar cell as a cost-effective alternative to silicon solar panel,” Scientific Review, vol. 4, no. 5, pp. 44–52, 2018. [Google Scholar] [Crossref]

13. J. Kaur, G. Pandey, and R. Kumar, “Design and performance analysis of dye sensitized solar cell using MATLAB/Simulink,” Materials Today: Proceedings, vol. 46, pp. 10419–10423, 2021. [Google Scholar] [Crossref]

14. A. Islam, M. Z. Yahya, and A. A. Umar, “Modeling and simulation of natural dye sensitized solar cell using diffusion model in MATLAB,” Materials Today: Proceedings, vol. 46, pp. 10419–10423, 2021. [Google Scholar] [Crossref]

15. A. Sahu, D. Bhatia, and S. Kaur, “Machine learning applications in photovoltaic energy systems: A DSSC focus,” Energy AI, vol. 12, p. 100203, 2023. [Google Scholar] [Crossref]

16. B. Yadagiri, A. K. Kaliamurthy, K. Yoo, H. C. Kang, J. Ryu, F. K. Asiam, and J. Lee, “Molecular engineering of photosensitizers for solid-state dye-sensitized solar cells: Recent developments and perspectives,” ChemistryOpen, vol. 12, no. 12, 2023. [Google Scholar] [Crossref]

17. B. O’Regan and M. Grätzel, “A low-cost, high-efficiency solar cell based on dye-sensitized colloidal TiO2 films,” Nature, vol. 353, no. 6346, pp. 737–740, 1991. [Google Scholar] [Crossref]

18. D. M. Atia and N. M. Ahmed, “Mathematical modeling, parameter identification, and electrical performance of a DSSC based on nature-inspired optimization techniques,” Journal of Computational Electronics, vol. 22, no. 2, pp. 723–741, 2023. [Google Scholar] [Crossref]

19. A. M. Tayeb, A. A. A. Solyman, and M. Hassan, “Modeling and simulation of dye-sensitized solar cell: Model verification for different semiconductors and dyes,” Alexandria Engineering Journal, vol. 61, no. 11, pp. 8643–8654, 2022. [Google Scholar] [Crossref]

20. A. Aboulouard, S. Rbihi, Y. Najih, M. Adar, A. Jouaiti, B. Elhadadi, and M. A. El Abbassi, “Numerical simulation of dye-sensitized solar cells performance for local natural dyes,” in IEEE 6th International Conference on Optimization, 2020. [Google Scholar] [Crossref]

21. L. Arumugam, P. L. Low, M. E. Yeoh, G. Thien, Y. K. Sin, and K. Y. Chan, “Simulation of dye-sensitized solar cell with mesoporous zinc oxide layer of different thicknesses and with dye-sensitisers of different absorption coefficients,” in MECON, vol. AER 214, pp. 315–333, 2022. [Google Scholar] [Crossref]

22. Z. Tajvar, S. M. Faraz, Z. H. Awan, and M. H. Sayyad, “Modelling and simulation of eco-friendly solar cells sensitized by natural dyes,” Energy & Environment, vol. 35, no. 1, pp. 275–288, 2022. [Google Scholar] [Crossref]

23. C. O. Ogabi, B. A. Idowu, A. O. Boyo, S. O. Oseni, and R. O. Kesinro, “Simulation and performance of natural sensitizer dye from Lagerstroemia speciosa flowers and leaves,” Journal of Materials Science Research and Reviews, vol. 4, no. 1, pp. 60–65, 2021. [Google Scholar] [Crossref]

24. S. Roy and A. K. Srivastava, “Numerical simulation of dye-sensitized solar cell performance using finite element method,” Solar Energy, vol. 205, pp. 357–366, 2020. [Google Scholar] [Crossref]

25. E. Supriyanto, H. A. Kartikasari, N. Alviati, and G. Wiranto, “Simulation of dye-sensitized solar cells (DSSC) performance for various local natural dye photosensitizers,” IOP Conference Series: Materials Science and Engineering, vol. 515, p. 012048, 2019. [Google Scholar] [Crossref]

26. A. Razvitia, “Dye-sensitized solar cells: Materials, devices, and future perspectives,” Renewable and Sustainable Energy Reviews, vol. 113, p. 109286, 2019. [Google Scholar] [Crossref]

27. A. Razvitia, “Natural dyes for dye-sensitized solar cells: A review of sources, extraction, and performance,” Renewable and Sustainable Energy Reviews, vol. 141, p. 110806, 2021. [Google Scholar] [Crossref]

28. V. Predstavleno, “Porphyrin-based dyes for dye-sensitized solar cells: A review of molecular design and photovoltaic performance,” Coordination Chemistry Reviews, vol. 408, p. 213184, 2020. [Google Scholar] [Crossref]

29. A. O. Salau, A. S. Olufemi, G. Oluleye, V. A. Owoeye, and I. Ismail, “Modeling and performance analysis of dye-sensitized solar cell based on ZnO compact layer and TiO2 photoanode,” Materials Today: Proceedings, vol. 51, pp. 502–507, 2021. [Google Scholar] [Crossref]

30. O. Dubey and R. Ganguly, “A comprehensive device modeling of solid-state dye-sensitized solar cell by MATLAB,” International Journal of Research in Engineering, Science and Management, vol. 3, no. 11, pp. 324–328, 2020. [Google Scholar] [Crossref]

31. D. Kumar, K. P. S. Parmar, and P. Kuchhal, “Optimizing photovoltaic efficiency of a dye-sensitized solar cell (DSSC) by a combined (modelling-simulation and experimental) study,” International Journal of Renewable Energy Research, vol. 10, no. 1, p. 165, 2020. [Google Scholar] [Crossref]

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