Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
The development of automatic tracking solar concentrator photovoltaic systems is currently attracting growing interest. High concentration photovoltaic systems (HCPVs) combining triple-junction InGaP/lnGaAs/Ge solar cells with a concentrator provide high conversion efficiencies. The mathematical model for triple-junction solar cells, having a higher efficiency and superior temperature characteristics, was established based on the one-diode equivalent circuit cell model. A paraboloidal concentrator with a secondary optic system and a concentration ratio in the range of 100X–150X along with a sun tracking system was developed in this study. The GaInP/GalnAs/Ge triple-junction solar cell, produced by AZUR SPACE Solar Power, was also used in this study. The solar cells produced by Shanghai Solar Youth Energy (SY) and Shenzhen Yinshengsheng Technology Co. Ltd. (YXS) were used as comparison samples in a further comparative study at different concentration ratios (200X–1000X). A detailed analysis on the factors that influence the electrical output characteristics of the InGaP/lnGaAs/Ge solar cell was conducted with a dish-style concentrating photovoltaic system. The results show that the short-circuit current (Isc) and the open-circuit voltage (Voc) of multi-junction solar cells increases with the increasing concentration ratio, while the cell efficiency (ηc) of the solar cells increases first and then decreases with increasing concentration ratio. With increasing solar cell temperature, Isc increases, while Voc and ηc decrease. A comparison of the experimental and simulation results indicate that the maximum root mean square error is less than 10%, which provides a certain theoretical basis for the study of the characteristics of triple-junction solar cell that can be applied in the analysis and discussion regarding the influence of the relevant parameters on the performance of high concentration photovoltaic systems.
. [J]. Frontiers in Energy, 2021, 15(2): 279-291.
Zilong WANG, Hua ZHANG, Binlin DOU, Weidong WU, Guanhua ZHANG. Numerical and experimental research of the characteristics of concentration solar cells. Front. Energy, 2021, 15(2): 279-291.
Y Zhang, Y Xu, H Guo, X Zhang, C Guo, H Chen. A hybrid energy storage system with optimized operating strategy for mitigating wind power fluctuations. Renewable Energy, 2018, 125: 121–132 https://doi.org/10.1016/j.renene.2018.02.058
2
C Renno, G Landi, F Petito, H C Neitzert. Influence of a degraded triple-junction solar cell on the CPV system performances. Energy Conversion and Management, 2018, 160: 326–340 https://doi.org/10.1016/j.enconman.2018.01.026
3
T H Huang, H Lo, C Lo, M C Wu, W S Lour. Photovoltaic characteristics of each subcell evaluated in situ in a triple-junction solar cell. Solid-State Electronics, 2016, 126: 109–114 https://doi.org/10.1016/j.sse.2016.09.006
4
J Liu, H S Chen, Y J Xu, L Wang, C Tan. A solar energy storage and power generation system based on supercritical carbon dioxide. Renewable Energy, 2014, 64(4): 43–51 https://doi.org/10.1016/j.renene.2013.10.045
5
B Corona, L Escudero, G Quéméré, I Luque-Heredia, G San Miguel. Energy and environmental life cycle assessment of a high concentration photovoltaic power plant in Morocco. International Journal of Life Cycle Assessment, 2017, 22(3): 364–373 https://doi.org/10.1007/s11367-016-1157-y
6
Z Yang, H Chen, L Wang, Y Sheng, L Ji, N Xie. Experimental investigation on the thermal-energy storage characteristics of the subcritical water. Journal of Energy Engineering, 2017, 143(6): 04017061 https://doi.org/10.1061/(ASCE)EY.1943-7897.0000495
7
L R Wilson, E Klampaftis, B S Richards. Enhancement of power output from a large-area luminescent solar concentrator with 4.8x concentration via solar cell current matching. IEEE Journal of Photovoltaics, 2017, 7(3): 802–809 https://doi.org/10.1109/JPHOTOV.2017.2668606
8
M Liu, G S Kinsey, W Bagienski, A Nayak, V Garboushian. Indoor and outdoor comparison of CPV III–V multijunction solar cells. IEEE Journal of Photovoltaics, 2013, 3(2): 888–892 https://doi.org/10.1109/JPHOTOV.2012.2230055
9
C Domınguez, I Anton, G Sala. Multi-junction solar cell model for translating I–V characteristics as a function of irradiance, spectrum, and cell temperature. Progress in Photovoltaics: Research and Applications, 2010, 18(4): 272–284
10
G S Kinsey, K M Edmondson. Spectral response and energy output of concentrator multi-junction solar cells. Progress in Photovoltaics: Research and Applications, 2009, 17(5): 279–288 https://doi.org/10.1002/pip.875
11
D J Friedman. Progress and challenges for next-generation high-efficiency multi-junction solar cells. Current Opinion in Solid State and Materials Science, 2010, 14(6): 131–138 https://doi.org/10.1016/j.cossms.2010.07.001
12
J Zeitouny, N Lalau, J M Gordon, E A Katz, G Flamant, A Dollet, A Vossier. Assessing high-temperature photovoltaic performance for solar hybrid power plants. Solar Energy Materials and Solar Cells, 2018, 182: 61–67 https://doi.org/10.1016/j.solmat.2018.03.004
13
D Li, Y Xuan, E Yin, Q Li. Conversion efficiency gain for concentrated triple-junction solar cell system through thermal management. Renewable Energy, 2018, 126: 960–968 https://doi.org/10.1016/j.renene.2018.04.027
14
Z Mi, J K Chen, N F Chen, Y Bai, W Wu, R Fu, H Liu. Performance analysis of a grid-connected high concentrating photovoltaic system under practical operation conditions. Energies, 2016, 9(2): 117 https://doi.org/10.3390/en9020117
15
M Yamaguchi, T Takamoto, K Araki. Super high-efficiency multi-junction and concentrator solar cells. Solar Energy Materials and Solar Cells, 2006, 90(18–19): 3068–3077 https://doi.org/10.1016/j.solmat.2006.06.028
16
D J Aiken, M A Stan, S P Endicter, G Girard, P R Sharps. A loss analysis for a 28% efficient 520X concentrator module. In: The 4th IEEE World Conference on Photovoltaic Energy Conversion, 2007
17
K Nishioka, T Takamoto, T Agui, M Kaneiwa, Y Uraoka, T Fuyuki. Evaluation of InGaP/InGaAs/Ge triple-junction solar cell and optimization of solar cell’s structure focusing on series resistance for high-efficiency concentrator photovoltaic systems. Solar Energy Materials and Solar Cells, 2006, 90(9): 1308–1321 https://doi.org/10.1016/j.solmat.2005.08.003
18
G S Kinsey, P Hebert, K E Barbour, D D Krut, H L Cotal, R A Sherif. Concentrator multi-junction solar cell characteristics under variable intensity and temperature. Progress in Photovoltaics: Research and Applications, 2008, 16(6): 503–508 https://doi.org/10.1002/pip.834
19
F Almonacid, P J Pérez-Higueras, E F Fernández, P Rodrigo. Relation between the cell temperature of a HCPV module and atmospheric parameters. Solar Energy Materials and Solar Cells, 2012, 105(19): 322–327 https://doi.org/10.1016/j.solmat.2012.06.043
20
K Nishioka, T Takamoto, T Agui, M Kaneiwa, Y Uraoka, T Fuyuki. Annual output estimation of concentrator photovoltaic systems using high-efficiency InGaP/InGaAs/Ge triple-junction solar cells based on experimental solar cell’s characteristics and field-test meteorological data. Solar Energy Materials and Solar Cells, 2006, 90(1): 57–67 https://doi.org/10.1016/j.solmat.2005.01.011
21
G S Kinsey, P Pien, P Hebert, R A Sherif. Operating characteristics of multijunction solar cells. Solar Energy Materials and Solar Cells, 2009, 93(6–7): 950–951 https://doi.org/10.1016/j.solmat.2008.11.053
22
C Renno, F Petito. Triple-junction cell temperature evaluation in a CPV system by means of a Random-Forest model. Energy Conversion and Management, 2018, 169: 124–136 https://doi.org/10.1016/j.enconman.2018.05.060
23
H Rezk, E S Hasaneen. A new MATLAB/Simulink model of triple-junction solar cell and MPPT based on artificial neural networks for photovoltaic energy systems. Ain Shams Engineering Journal, 2015, 6(3): 873–881 https://doi.org/10.1016/j.asej.2015.03.001
24
M Catelani, L Ciani, M K Kazimierczuk, A Reatti. Matlab PV solar concentrator performance prediction based on triple junction solar cell model. Measurement, 2016, 88: 310–317 https://doi.org/10.1016/j.measurement.2016.03.046
25
K Nishioka, T Sueto, M Uchida, Y Ota. Detailed analysis of temperature characteristics of an InGaP/InGaAs/Ge triple-junction solar cell. Journal of Electronic Materials, 2010, 39(6): 704–708 https://doi.org/10.1007/s11664-010-1171-y
26
S Kurtz, D Myers, W E Mcmahon, J Geisz, M Steiner. A comparison of theoretical efficiencies of multi-junction concentrator solar cells. Progress in Photovoltaics: Research and Applications, 2008, 16(6): 537–546 https://doi.org/10.1002/pip.830
27
F J Gómez-Gil, X Wang, A Barnett. Analysis and prediction of energy production in concentrating photovoltaic (CPV) installations. Energies, 2012, 5(3): 770–789 https://doi.org/10.3390/en5030770
28
Z Wang, H Zhang, D Wen, W Zhao, Z Zhou. Characterization of the InGaP/InGaAs/Ge triple-junction solar cell with a two-stage dish-style concentration system. Energy Conversion and Management, 2013, 76: 177–184 https://doi.org/10.1016/j.enconman.2013.07.048
29
K Nishioka, T Takamoto, T Agui,M Kaneiwab., Y Uraokaa, T Fuyukia. Evaluation of temperature characteristics of high-efficiency InGaP/InGaAs/Ge triple-junction solar cells under concentration. Solar Energy Materials & Solar Cells, 2005, 85(3): 429–436 https://doi.org/10.1016/j.solmat.2004.05.008
30
L A A Bunthof, E J Haverkamp, D van der Woude, G J Bauhuis, W H M Corbeek, S Veelenturf, E Vlieg, J J Schermer. Influence of laterally split spectral illumination on multi-junction CPV solar cell performance. Solar Energy, 2018, 170: 86–94 https://doi.org/10.1016/j.solener.2018.05.033
31
G Segev, G Mittelman, A Kribus. Equivalent circuit models for triple-junction concentrator solar cells. Solar Energy Materials and Solar Cells, 2012, 98: 57–65 https://doi.org/10.1016/j.solmat.2011.10.013
32
K C Reinhardt, Y K Yeo, R L Hengehold. Junction characteristics of Ga0.5In0.5P n+p diodes and solar cells. Journal of Applied Physics, 1995, 77(11): 5763–5772 https://doi.org/10.1063/1.359221