journal article·2019-05

Accurate Expressions for Single-Diode-Model Solar Cell Parameterization

Hitesh K. Mehta, Himanshu Warke, Kaushik Kukadiya, Ashish K. Panchal

IEEE Journal of Photovoltaics· Volume 9· Issue 3
Publisher page

Abstract

The performance of a photovoltaic (PV) module is represented by a single-diode-model circuit with the five parameters for a given environmental condition. However, the model characteristic equation which is implicit in nature makes the parameters' extraction computationally complex. In addition, for finding the five parameters from the specifications of the PV module datasheet, one can formulate only four equations. To complete the solution, the formulation of the fifth equation is really tricky. Therefore, the researchers have attempted several approximations to complete the problem formulation, but the obtained results have low accuracy in many cases. This paper specifically focuses on the formulation of the fifth equation without any approximation, which considers an exact area under the current-voltage (I-V) curve of a PV cell/module. The method is employed for different cells as case study-I and for the experimental data of a silicon cell and a module as case study-II commonly available in the literature. The numerical results are highly accurate with respect to the existing methods.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Photovoltaic System Optimization Techniques · solar cell performance optimization · Solar Thermal and Photovoltaic Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (34)

Show source-provided references
1. 10.1109/TIE.2015.239019310.1109/TIE.2015.2390193 ↗
2. 10.1016/j.renene.2015.10.06610.1016/j.renene.2015.10.066 ↗
3. 10.1016/S0038-1101(00)00277-X10.1016/S0038-1101(00)00277-X ↗
4. 10.1016/j.sse.2006.05.02010.1016/j.sse.2006.05.020 ↗
5. 10.3906/elk-1312-26810.3906/elk-1312-268 ↗
6. 10.1007/BF0212475010.1007/BF02124750 ↗
7. 10.1016/j.solener.2014.02.01410.1016/j.solener.2014.02.014 ↗
8. 10.1016/j.apenergy.2013.06.04610.1016/j.apenergy.2013.06.046 ↗
9. 10.1016/j.renene.2012.01.08210.1016/j.renene.2012.01.082 ↗
10. 10.1063/1.312208210.1063/1.3122082 ↗
11. 10.1016/j.apenergy.2014.01.02710.1016/j.apenergy.2014.01.027 ↗
12. 10.1143/JJAP.45.54210.1143/JJAP.45.542 ↗
13. 10.1016/j.solener.2005.06.01010.1016/j.solener.2005.06.010 ↗
14. Identification of the one-diode model for photovoltaic modules from datasheet values10.1016/j.solener.2014.07.024 ↗
15. 10.1109/ISIE.2007.437498110.1109/ISIE.2007.4374981 ↗
16. 10.1080/0142591860890983510.1080/01425918608909835 ↗
17. A photovoltaic model with reduced computational time
18. Device characteristics of a 10.1% hydrazine-processed Cu2ZnSn(Se,S)4 solar cell10.1002/pip.1160 ↗
19. 10.1109/TEC.2011.215926810.1109/TEC.2011.2159268 ↗
20. 10.1016/j.solener.2013.02.02110.1016/j.solener.2013.02.021 ↗
21. 10.1016/j.apenergy.2010.12.04810.1016/j.apenergy.2010.12.048 ↗
22. 10.1016/j.solener.2013.04.01310.1016/j.solener.2013.04.013 ↗
23. 10.1063/1.494266010.1063/1.4942660 ↗
24. A new explicit I–V model of a silicon solar cell based on chebyshev polynomials10.1016/j.solener.2015.07.007 ↗
25. 10.1109/TIE.2015.249813910.1109/TIE.2015.2498139 ↗
26. 10.1063/1.363297110.1063/1.3632971 ↗
27. 10.1038/nphoton.2016.23210.1038/nphoton.2016.232 ↗
28. Numerical differentiation and integration
29. 10.1063/1.481996110.1063/1.4819961 ↗
30. 10.1063/1.289539610.1063/1.2895396 ↗
31. 10.3103/S073527270901003810.3103/S0735272709010038 ↗
32. 10.1016/0379-6787(81)90067-310.1016/0379-6787(81)90067-3 ↗
33. 10.1109/JPHOTOV.2017.276900010.1109/JPHOTOV.2017.2769000 ↗
34. Numerical solution of ordinary differential equations