A theoretical analysis of the impact of atmospheric parameters on the spectral, electrical and thermal performance of a concentrating III-V triple-junction solar cell

Energy Conversion and Management

Volumn 117, Issue , 2016, Pages 218-227

  Theristis, Marios ^a,b   Fernández, Eduardo F ^b   Stark, Cameron ^c   O'Donovan, Tadhg S ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF JAÉN   (Spain)

^c Fraunhofer USA   (United States)

Author keywords

Concentrating photovoltaic (CPV); Cooling requirements; Electrical performance; III V multijunction solar cells; Integrated modelling; Spectral dependence

Indexed keywords

ATMOSPHERIC AEROSOLS; FINITE ELEMENT METHOD; HEAT TRANSFER; HEAT TRANSFER COEFFICIENTS; SOLAR POWER GENERATION; SPECTROSCOPY;

CONCENTRATING PHOTOVOLTAIC; COOLING REQUIREMENTS; ELECTRICAL PERFORMANCE; INTEGRATED MODELLING; SPECTRAL DEPENDENCES;

SOLAR CELLS;

EID: 84961152497     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2016.03.036     Document Type: Article

References (43)

1. E.F. Fernández, A.J.G. Loureiro, and G.P. Smestad Multijunction concentrator solar cells: analysis and fundamentals P. Pérez-Higueras, E.F. Fernández, High concentrator photovoltaics 1st ed. 2015 Springer International Publishing 9 37
2. M. Steiner, A. Bösch, A. Dilger, F. Dimroth, T. Dörsam, M. Muller, and et al. FLATCON® CPV module with 36.7% efficiency equipped with four-junction solar cells Prog Photovoltaics: Res Appl 23 2015 1323 1329
3. Z. Wang, H. Zhang, D. Wen, W. Zhao, and Z. Zhou Characterization of the InGaP/InGaAs/Ge triple-junction solar cell with a two-stage dish-style concentration system Energy Convers Manage 76 2013 177 184
4. E.F. Fernández, P. Pérez-Higueras, A.J. Garcia Loureiro, and P.G. Vidal Outdoor evaluation of concentrator photovoltaic systems modules from different manufacturers: first results and steps Prog Photovoltaics Res Appl 21 2013 693 701
5. Marion B. Influence of atmospheric variations on photovoltaic performance and modeling their effects for days with clear skies. In: Photovoltaic Specialists Conference (PVSC), 2012 38th IEEE; 2012. p. 003402-7.
6. M. Muller, S. Kurtz, M. Steiner, and G. Siefer Translating outdoor CPV I-V measurements to a CSTC power rating and the associated uncertainty Prog Photovoltaics: Res Appl 23 2015 1557 1571
7. N. Xu, J. Ji, W. Sun, L. Han, H. Chen, and Z. Jin Outdoor performance analysis of a 1090× point-focus Fresnel high concentrator photovoltaic/thermal system with triple-junction solar cells Energy Convers Manage 100 2015 191 200
8. K. Nishioka, T. Takamoto, T. Agui, M. Kaneiwa, Y. Uraoka, and 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 Sol Energy Mater Sol Cells 90 2006 57 67
9. Suncore Website. < http://suncoreus.com/ > [accessed July 27, 2015].
10. Semprius Website. < http://semprius.com/ > [accessed July 27, 2015].
11. M.D. Perez, and N.E. Gorji Modeling of temperature profile, thermal runaway and hot spot in thin film solar cells Mater Sci Semicond Process 41 2016 529 534
12. S. Kurtz, M. Muller, D. Jordan, K. Ghosal, B. Fisher, P. Verlinden, and et al. Key parameters in determining energy generated by CPV modules Prog Photovoltaics: Res Appl 23 2015 1250 1259
13. C. Renno, F. Petito, and A. Gatto Artificial neural network models for predicting the solar radiation as input of a concentrating photovoltaic system Energy Convers Manage 106 2015 999 1012
14. Blumenfeld P, Foresi J, Lang Y, Nagyvary J. Thermal management and engineering economics in CPV design. In: MEPTEC symposium proceedings no. 41, San Jose, CA, USA; 2011. p. 206-234.
15. E.F. Fernández, and F. Almonacid A new procedure for estimating the cell temperature of a high concentrator photovoltaic grid connected system based on atmospheric parameters Energy Convers Manage 103 2015 1031 1039
16. M. Theristis, and T.S. O'Donovan Electrical-thermal analysis of III-V triple-junction solar cells under variable spectra and ambient temperatures Sol Energy 118 2015 533 546
17. NREL. National solar radiation database. Typical meteorological year 3 (TMY3); 2015. Available: < http://rredc.nrel.gov/solar/old-data/nsrdb/1991-2005/tmy3/ >.
18. ASTM G173-03. Standard tables for reference solar spectral irradiances: direct normal and hemispherical on 37° tilted surface. West Conshohocken (PA): ASTM International; 2012. < www.astm.org >.
19. Theristis M, Stark C, O'Donovan TS. Determination of the cooling requirements for single cell photovoltaic receivers under variable atmospheric parameters. In: Photovoltaic specialist conference (PVSC), 2015 IEEE 42nd; 2015. p. 1-5.
20. Gueymard CA. Simple model of the atmospheric radiative transfer of sunshine, version 2 (SMARTS2): algorithms description and performance assessment. Florida Solar Energy Center; 1995.
21. Theristis M, O'Donovan TS. An integrated thermal electrical model for single cell photovoltaic receivers under concentration. In: 15th International heat transfer conference (IHTC-15), Kyoto, Japan; 2014. pp. n/a-n/a.
22. R. Núñez, C. Domínguez, S. Askins, M. Victoria, R. Herrero, I. Antón, and et al. Determination of spectral variations by means of component cells useful for CPV rating and design Prog Photovoltaics: Res Appl 2015 pp. n/a-n/a
23. B. García-Domingo, J. Aguilera, J. de la Casa, and M. Fuentes Modelling the influence of atmospheric conditions on the outdoor real performance of a CPV (Concentrated Photovoltaic) module Energy 70 2014 239 250
24. G. Nofuentes, B. García-Domingo, J.V. Muñoz, and F. Chenlo Analysis of the dependence of the spectral factor of some PV technologies on the solar spectrum distribution Appl Energy 113 2014 302 309
25. E.F. Fernández, F. Almonacid, A. Soria-Moya, and J. Terrados Experimental analysis of the spectral factor for quantifying the spectral influence on concentrator photovoltaic systems under real operating conditions Energy 2015
26. E.F. Fernández, F. Almonacid, J.A. Ruiz-Arias, and A. Soria-Moya Analysis of the spectral variations on the performance of high concentrator photovoltaic modules operating under different real climate conditions Sol Energy Mater Sol Cells 127 2014 179 187
27. Hashimoto J, Kurtz S, Sakurai K, Muller M, Otani K. Performance of CPV system using three types of III-V multi-junction solar cells. In: CPV-8, Toledo, Spain; 2012. p. 372-5.
28. C. Domínguez, I. Antón, G. Sala, and S. Askins Current-matching estimation for multijunction cells within a CPV module by means of component cells Prog Photovoltaics Res Appl 21 2013 1478 1488
29. Dominguez C, Askins S, Anton I, Sala G. Characterization of five CPV module technologies with the Helios 3198 solar simulator. In: Photovoltaic specialists conference (PVSC), 2009 34th IEEE; 2009. p. 001004-8.
30. Stark C, Theristis M. The impact of atmospheric parameters on the spectral performance of multiple photovoltaic technologies. In: Photovoltaic specialist conference (PVSC), 2015 IEEE 42nd; 2015. p. 1-5.
31. S.P. Philipps, G. Peharz, R. Hoheisel, T. Hornung, N.M. Al-Abbadi, F. Dimroth, and et al. Energy harvesting efficiency of III-V triple-junction concentrator solar cells under realistic spectral conditions Sol Energy Mater Sol Cells 94 2010 869 877 [May]
32. T. Hornung, M. Steiner, and P. Nitz Estimation of the influence of Fresnel lens temperature on energy generation of a concentrator photovoltaic system Sol Energy Mater Sol Cells 99 2012 333 338
33. G.S. Kinsey Spectrum sensitivity, energy yield, and revenue prediction of PV modules IEEE J Photovoltaics 5 2015 258 262
34. E.F. Fernández, A. Soria-Moya, F. Almonacid, and J. Aguilera Comparative assessment of the spectral impact on the energy yield of high concentrator and conventional photovoltaic technology Sol Energy Mater Sol Cells 147 2016 185 197
35. E.F. Fernández, P. Rodrigo, F. Almonacid, and P. Pérez-Higueras A method for estimating cell temperature at the maximum power point of a HCPV module under actual operating conditions Sol Energy Mater Sol Cells 124 2014 159 165
36. Spectrolab. C1MJ concentrator solar cell assembly data sheet (prototype product); 2009, June 10, 2014. < http://www.spectrolab.com/DataSheets/PV/CPV/C1MJ%2009%2018%2009.pdf>.
37. G.S. Kinsey, and K.M. Edmondson Spectral response and energy output of concentrator multijunction solar cells Prog Photovoltaics 17 2009 279 288
38. S. Senthilarasu, E.F. Fernández, F. Almonacid, and T.K. Mallick Effects of spectral coupling on perovskite solar cells under diverse climatic conditions Sol Energy Mater Sol Cells 133 2015 92 98
39. E.F. Fernández, F. Almonacid, T.K. Mallick, and S. Sundaram Effect of spectral irradiance variations on the performance of highly efficient environment-friendly solar cells IEEE J Photovoltaics 5 2015 1150 1157
40. F. Almonacid, P.J. Pérez-Higueras, E.F. Fernández, and P. Rodrigo Relation between the cell temperature of a HCPV module and atmospheric parameters Sol Energy Mater Sol Cells 105 2012 322 327
41. P. Espinet-González, C. Algora, N. Núñez, V. Orlando, M. Vázquez, J. Bautista, and et al. Temperature accelerated life test on commercial concentrator III-V triple-junction solar cells and reliability analysis as a function of the operating temperature Prog Photovoltaics Res Appl 23 2015 559 569
42. P. Faine, S.R. Kurtz, C. Riordan, and J.M. Olson The influence of spectral solar irradiance variations on the performance of selected single-junction and multijunction solar-cells Sol Cells 31 1991 259 278
43. I. Mudawar Assessment of high-heat-flux thermal management schemes IEEE Trans Compon Packag Technol 24 2001 122 141