Abstract
In this chapter, three different commercialized photovoltaic (PV) technologies—polycrystalline silicon (poly C–Si), copper indium gallium selenide (CIGS) and cadmium telluride (CdTe)—are investigated in terms of several aspects. A PV model based on manufacture’s datasheet has been presented. Its originality consists in the using of a simple procedure which takes only the datasheet parameters into account to identify the series resistance (Rs) of solar cells. Moreover, the ideality factor (n) value is adapted to fit the solar cell technology. Both the identified Rs and n values have been used within the solar cell block provided by MATLAB Simscape toolbox to model different PV modules having different technologies, as well as to predict their characteristics (current–voltage (I–V) and Power–Voltage (P–V)). A test facility is employed to carry out the required tests for assessing the PV model. Obtained experimental results under different climate conditions are compared with simulated ones. The comparison is carried out by evaluating four statistical errors with a view of measuring the accuracy of the proposed model in predicting the I–V and P–V characteristics.
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References
Sarhaddi, F., Farshchi Tabrizi, F., Aghaei Zoori, H., et al.: Comparative study of two weir type cascade solar stills with and without PCM storage using energy and exergy analysis. Energy Convers. Manag. 133, 97–109 (2017)
Bhattarai, S., Kafle, G.K., Euh, S.-H., et al.: Comparative study of photovoltaic and thermal solar systems with different storage capacities: performance evaluation and economic analysis. Energy 61, 272–282 (2013)
Caballero, F., Sauma, E., Yanine, F.: Business optimal design of a grid-connected hybrid PV (photovoltaic)-wind energy system without energy storage for an Easter Island’s block. Energy 61, 248–261 (2013)
Bruno, B.: Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany. https://www.energy-charts.de
(IEA) IEA.: Renewables (2019)
Ma, T., Yang, H., Zhang, Y., et al.: Using phase change materials in photovoltaic systems for thermal regulation and electrical efficiency improvement: a review and outlook. Renew. Sustain. Energy Rev. 43, 1273–1284 (2015)
Polo, J., Alonso-Abella, M., Ruiz-Arias, J.A., et al.: Worldwide analysis of spectral factors for seven photovoltaic technologies. Sol. Energy 142, 194–203 (2017)
Dadje, A., Djongyang, N., Kana, J.D., et al.: Maximum power point tracking methods for photovoltaic systems operating under partially shaded or rapidly variable insolation conditions: a review paper. Int. J. Sustain. Eng. 9(4), 224–239 (2016)
Kheldoun, A., Bradai, R., Boukenoui, R., et al.: A new golden section method-based maximum power point tracking algorithm for photovoltaic systems. Energy Convers. Manag. 111, 125–136 (2016)
Gab-Su, S., Jong-Won, S., Bo-Hyung, C., et al.: Digitally controlled current sensorless photovoltaic micro-converter for DC distribution. IEEE Trans. Ind. Inform. 10(1), 117–126 (2014)
Chatterjee, A., Keyhani, A., Kapoor, D.: Identification of photovoltaic source models. IEEE Trans. Energy Convers. 26(3), 883–889 (2011)
Massi Pavan, A., Mellit, A., Lughi, V.: Explicit empirical model for general photovoltaic devices: experimental validation at maximum power point. Sol. Energy 101, 105–116 (2014)
Brus, V.: On quantum efficiency of nonideal solar cells. Sol. Energy 86(2), 786–791 (2012)
Lun, S-x, Du, C-j, Yang, G-h, et al.: An explicit approximate I-V characteristic model of a solar cell based on padé approximants. Sol. Energy 92, 147–159 (2013)
Saloux, E., Teyssedou, A., Sorin, M.: Explicit model of photovoltaic panels to determine voltages and currents at the maximum power point. Sol. Energy 85(5), 713–722 (2011)
Babu, B.C., Gurjar, S.: A novel simplified two-diode model of photovoltaic (PV) module. IEEE J. Photovoltaics 4(4), 1156–1161 (2014)
Huld, T., Friesen, G., Skoczek, A., et al.: A power-rating model for crystalline silicon PV modules. Sol. Energy Mater. Sol. Cells 95(12), 3359–3369 (2011)
Mellit, A., Sağlam, S., Kalogirou, S.: Artificial neural network-based model for estimating the produced power of a photovoltaic module. Renew. Energy 60, 71–78 (2013)
Dizqah, A.M., Maheri, A., Busawon, K.: An accurate method for the PV model identification based on a genetic algorithm and the interior-point method. Renew. Energy 72, 212–222 (2014)
Khanna, V., Das, B., Bisht, D., et al.: A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm. Renew. Energy 78, 105–113 (2015)
Chin, V.J., Salam, Z., Ishaque, K.: An accurate modelling of the two-diode model of PV module using a hybrid solution based on differential evolution. Energy Convers. Manag. 124, 42–50 (2016)
Mekki, H., Mellit, A., Salhi, H.: Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules. Simul. Model. Pract. Theory 67, 1–13 (2016)
Jena, D., Ramana, V.V.: Modeling of photovoltaic system for uniform and non-uniform irradiance: a critical review. Renew. Sustain. Energy Rev. 52, 400–417 (2015)
Green, M.A., Dunlop, E.D., Levi, D.H., et al.: Solar cell efficiency tables (version 54). Prog. Photovoltaics Res. Appl. 27(7), 565–575 (2019)
Kumar, S.G., Rao, K.K.: Physics and chemistry of CdTe/CdS thin film heterojunction photovoltaic devices: fundamental and critical aspects. Energy Environ. Sci. 7(1), 45–102 (2014)
Wolden, C.A., Kurtin, J., Baxter, J.B., et al.: Photovoltaic manufacturing: present status, future prospects, and research needs. J. Vacuum Sci. Technol. A Vacuum Surf. Films 29(3), 030801 (2011)
Shockley, W., Queisser, H.J.: Detailed balance limit of efficiency of p-n junction solar cells. J. Appl. Phys. 32(3), 510–519 (1961)
Best research cell efficiencies.: The National Renewable Energy Laboratory (NREL) (2019)
Jiang, Y., Shen, H., Pu, T., et al.: High efficiency multi-crystalline silicon solar cell with inverted pyramid nanostructure. Sol. Energy 142, 91–96 (2017)
Murdock, H. E., Gibb, D., André, T., et al.: Renewables 2019 Global Status Report (2019)
Raturi, A. K.: Renewables 2016 global status report (2016)
Reinhard, P., Chirila, A., Blosch, P., et al.: Review of progress toward 20% efficiency flexible CIGS solar cells and manufacturing issues of solar modules. In: IEEE 38th Photovoltaic Specialists Conference (PVSC), vol. 2, pp. 1–9 (2012)
Burst, J.M., Duenow, J.N., Albin, D.S., et al.: CdTe solar cells with open-circuit voltage breaking the 1 V barrier. Nature Energy 1(3), 16015 (2016)
Major, J., Treharne, R., Phillips, L., et al.: A low-cost non-toxic post-growth activation step for CdTe solar cells. Nature 511(7509), 334 (2014)
Boukenoui, R., Ghanes, M., Barbot, J.-P., et al.: Experimental assessment of maximum power point tracking methods for photovoltaic systems. Energy 132, 324–340 (2017)
Orioli, A., Di Gangi, A.: A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data. Appl. Energy 102, 1160–1177 (2013)
Luque, A., Hegedus, S.: Handbook of photovoltaic science and engineering. Wiley, England (1996). 2003
Walker, G.: Evaluating MPPT converter topologies using a MATLAB PV model. J. Electr. Electron. Eng. Australia 21(1), 49 (2001)
Xiao, W., Dunford, W. G., Capel, A. A.: Novel modeling method for photovoltaic cells. In: 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No. 04CH37551), IEEE, pp. 1950–1956 (2004)
Ulapane, N. N., Dhanapala, C. H., Wickramasinghe, S. M., et al.: Extraction of parameters for simulating photovoltaic panels. In: 2011 6th IEEE International Conference on Industrial and Information Systems (ICIIS), IEEE, pp. 539–544 (2011)
Chenni, R., Makhlouf, M., Kerbache, T., et al.: A detailed modeling method for photovoltaic cells. Energy 32(9), 1724–1730 (2007)
Mäki, A., Valkealahti, S.: Power losses in long string and parallel-connected short strings of series-connected silicon-based photovoltaic modules due to partial shading conditions. IEEE Trans. Energy Convers. 27(1), 173–183 (2011)
Massi Pavan, A., Mellit, A., De Pieri, D., et al.: A study on the mismatch effect due to the use of different photovoltaic modules classes in large-scale solar parks. Prog. Photovoltaics Res. Appl. 22(3), 332–345 (2014)
Markat, T., Castañer, L.: Photovoltaics: fundamentals and applications. Preface Guide to Usage of the Handbook by Professional Group (2006)
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The authors would like to thanks Dr. V. Lughi, from Trieste University, Italy, for the useful database.
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Boukenoui, R., Mellit, A., Massi Pavan, A. (2020). Photovoltaic Model Based on Manufacture’s Datasheet: Experimental Validation for Different Photovoltaic Technologies. In: Mellit, A., Benghanem, M. (eds) A Practical Guide for Advanced Methods in Solar Photovoltaic Systems. Advanced Structured Materials, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-43473-1_12
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