Journal Press India®

Specific Panel Sizing at Different Locations for Solar PV Panel Area Requirement and Performance

https://doi.org/10.51976/jfsa.111807

Author Details ( * ) denotes Corresponding author

1. * Mayank Pant, Senior Advisor Hr, Dysmech Competency Services, Pune, Maharashtra, India (Mayankpant@dcsplm.com)
2. Lalit Kumar Sharma, Senior Advisor- Operations, Dysmech Competency Services, Pune, Maharashtra, India (lalit.kumar@dcsplm.com)

The solar photovoltaic (PV) technology used today is one of the most widely used renewable energy generation technologies. This essay compares the PV panel efficiency for some of the same environmental factors at three different Indian locations, Mathura, Ladakh, and Bikaner, at the same time and location. A boost converter is built into the PV panel in order to obtain the required voltage at the load side. The PV Panel Simulink model is simulated using PSIM for various irradiance and temperature in order to test and track changes in values of current, voltage, and power both at the panel and at the load. After these figures are obtained, the efficiency of the current panel will change on the basis of the previously established values of performance parameters for the panel, the effect of high cell temperature and irradiance is shown. 

Keywords

Photovoltaic; Efficiency; Fill Factor; Short Circuit; Open Circuit

  1. C. Marimuthu, “A Study of Factors Affecting Solar PV Cell through Matlab / Simulink Model This study considers the Grid Interactive Roof Top Solar,” IJRSI, vol. I, no. Iii, pp. 21–25, 2014.
  2. P. Löper et al., “Analysis of the temperature dependence of the open-circuit voltage,” Energy Procedia, vol. 27, pp. 135–142, 2012, doi: 10.1016/j.egypro.2012.07.041.
  3. K. Umadevi and C. Nagarajan, “Photovoltaic System With Dc-Dc Boost Converter Topology Using Psim Software,” Int. J. Curr. Res. Mod. Educ., no. NCFTCCPS-2016, pp. 51–60, 2016.
  4. S. Chakraborty, W. Hasan, and S. M. B. Billah, “Design and analysis of a transformer-less single-phase grid-tie photovoltaic inverter using boost converter with Immittance conversion topology,” 1st Int. Conf. Electr. Eng. Inf. Commun. Technol. ICEEICT 2014, 2014, doi: 10.1109/ICEEICT.2014.6919107.
  5. Quoilin, S., Orosz, M., Hemond, H., & Lemort, V. (2011). Performance and design optimization of a low-cost solar organic Rankine cycle for remote power generation. Solar energy, 85(5), 955-966.
  6. J. Ahmed and Z. Salam, “A Modified P and O Maximum Power Point Tracking Method with Reduced Steady-State Oscillation and Improved Tracking Efficiency,” IEEE Trans. Sustain. Energy, vol. 7, no. 4, pp. 1506–1515, 2016, doi: 10.1109/TSTE.2016.2568043.
  7. Gan, L. K., Shek, J. K., & Mueller, M. A. (2015). Hybrid wind–photovoltaic–diesel–battery system sizing tool development using empirical approach, life-cycle cost and performance analysis: A case study in Scotland. Energy Conversion and Management, 106, 479-494.
  8. Kimball, J. W., Kuhn, B. T., & Balog, R. S. (2009). A system design approach for unattended solar energy harvesting supply. IEEE Transactions on Power Electronics, 24(4), 952-962.
  9. Nema, P., Nema, R. K., & Rangnekar, S. (2009). A current and future state of art development of hybrid energy system using wind and PV-solar: A review. Renewable and Sustainable Energy Reviews, 13(8), 2096-2103.
  10. S. K. Kollimalla and M. K. Mishra, “A novel adaptive p&o mppt algorithm considering sudden changes in the irradiance,” IEEE Trans. Energy Convers., vol. 29, no. 3, pp. 602–610, 2014, doi: 10.1109/TEC.2014.2320930.
  11. Zhou, W., Lou, C., Li, Z., Lu, L., & Yang, H. (2010). Current status of research on optimum sizing of stand-alone hybrid solar–wind power generation systems. Applied energy, 87(2), 380-389.
  12. E. Gordo, N. Khalaf, T. Strangeowl, R. Dolino, and N. Bennett, “Factors Affecting Solar Power Production Efficiency,” New Mex. Supercomput. Chall., pp. 1–18, 2015.
  13. Yang, H., Zhou, W., Lu, L., & Fang, Z. (2008). Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm. Solar energy, 82(4), 354-367.
  14. S. A. M. Maleki, H. Hizam, and C. Gomes, “Estimation of hourly, daily and monthly global solar radiation on inclined surfaces: Models re-visited,” Energies, vol. 10, no. 1, 2017, doi: 10.3390/en10010134.
  15. R. Mazón-Hernández, J. R. García-Cascales, F. Vera-García, A. S. Káiser, and B. Zamora, “Improving the electrical parameters of a photovoltaic panel by means of an induced or forced air stream,” Int. J. Photoenergy, vol. 2013, 2013, doi: 10.1155/2013/830968.
  16. R. Anusuyadevi, P. Suresh Pandiarajan, and J. Muruga Bharathi, “Sliding mode controller based maximum power point tracking of DC to DC boost converter,” Int. J. Power Electron. Drive Syst., vol. 3, no. 3, pp. 321–327, 2013, doi: 10.6084/m9.figshare.1143828.
  17. Chandel, S. S., Naik, M. N., & Chandel, R. (2015). Review of solar photovoltaic water pumping system technology for irrigation and community drinking water supplies. Renewable and Sustainable Energy Reviews, 49, 1084-1099.
  18. Chandel, S. S., Naik, M. N., & Chandel, R. (2017). Review of performance studies of direct coupled photovoltaic water pumping systems and case study. Renewable and Sustainable Energy Reviews, 76, 163-175.
  19. J. Siecker, K. Kusakana, and B. P. Numbi, “A review of solar photovoltaic systems cooling technologies,” Renew. Sustain. Energy Rev., vol. 79, no. May 2018, pp. 192–203, 2017, doi: 10.1016/j.rser.2017.05.053.
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