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2016 | OriginalPaper | Buchkapitel

Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach

verfasst von : Cristobal J. Carmona, F. Pulgar, Antonio Jesús Rivera-Rivas, Maria Jose del Jesus, J. Aguilera

Erschienen in: Hybrid Artificial Intelligent Systems

Verlag: Springer International Publishing

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Abstract

The Concentrating Photovoltaic technology is focused on the generation of electricity reducing the associated costs. The main characteristics is to concentrate the sunlight in solar cells by means of optical device such as plastic or glass material. This technology could contribute with several benefits to our environmental. This paper presents a new study of the Concentrating Photovoltaic technology with the analysis of the solar spectrum considering the impact of the direct normal irrandiance spectral distribution. In this way, a estimation of regression coefficients for the spectral matching ratio multivariable regression and the average photon energy multivarible regression are obtained through a differential evolution approach. The accurate calculation of the model parameters reveals relations among the atmospheric conditions very useful for the experts.

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Almonacid, F., Pérez-Higueras, P., Fernández, E., Rodrigo, P.: Relation between the cell temperature of a hcpv module and atmospheric parameters. Solar Energy Mater. Solar Cells 105, 322–327 (2012)CrossRef

Antón, I., Martínez, M., Rubio, F., Núñez, R., Herrero, R., Domínguez, C., Victoria, M., Askins, S., Sala, G.: Power rating of cpv systems based on spectrally corrected dni, vol. 1477, pp. 331–335 (2012)

Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and Regression Trees. Chapman & Hall, New York (1984)MATH

Castro, M., Domínguez, C., Núez, R., Antón, I., Sala, G., Araki, K.: Detailed effects of wind on the field performance of a 50 kw cpv demonstration plant. In: AIP Conference Proceedings, vol. 1556, pp. 256–260 (2013)

Chan, N., Brindley, H., Ekins-Daukes, N.: Impact of individual atmospheric parameters on cpv system power, energy yield and cost of energy. Prog. Photovoltaics 22, 1080–1095 (2014)CrossRef

C. Domínguez, I. Askins, S. Antón, and G. Sala. Indoor characterization of cpv modules using helios 3198 solar simulator. In: 24th European Photovoltaic Solar Energy Conference and Exhibition, pp. 165–169 (2009)

Fan, R., Chen, P., Lin, C.: Working set selection using the second order information for training svm. J. Mach. Learn. Res. 6, 1889–1918 (2005)MathSciNetMATH

Flury, B., Riedwyl, H.: Multiple linear regression. In: Multivariate Statistics, pp. 54–74 (1988)

Gupta, R.: CPV: expansion and bankability required. Renew. Energy focus 14(4), 12–13 (2013)CrossRef

10.

Helmers, H., Schachtner, M., Bett, A.: Influence of temperature and irradiance on triple-junction solar subcells. Solar Energy Mater. Solar Cells 116, 144–152 (2013)CrossRef

11.

Herrero, R., Victoria, M., Domínguez, C., Askins, S., Antón, I., Sala, G.: Concentration photovoltaic optical system irradiance distribution measurements and its effect on multi-junction solar cells. Prog. Photovoltaics Res. Appl. 20(4), 423–430 (2012)CrossRef

12.

Kinsey, G., Hebert, P., Barbour, K., Krut, D., Cotal, H., Sherif, R.: Concentrator multijunction solar cell characteristics under variable intensity and temperature. Prog. Photovoltaics Res. Appl. 16(6), 503–508 (2008)CrossRef

13.

Law, D., King, R., Yoon, H., Archer, M., Boca, A., Fetzer, C., Mesropian, S., Isshiki, T., Haddad, M., Edmondson, K., Bhusari, D., Yen, J., Sherif, R., Atwater, H., Karam, N.: Future technology pathways of terrestrial iii-v multijunction solar cells for concentrator photovoltaic systems. Solar Energy Mater. Solar Cells 94(8), 1314–1318 (2010)CrossRef

14.

Leloux, J., Lorenzo, E., Garca-Domingo, B., Gueymard, J.A.C.: A bankable method of assessing the performance of a cpv plant. Appl. Energy 118(C), 1–11 (2014)CrossRef

15.

Lin, C.-K., Fang, J.-Y.: Analysis of structural deformation and concentrator misalignment in a roll-tilt solar tracker. In: AIP Conference Proceedings, vol. 1556, pp. 210–213 (2013)

16.

Luque, A., Sala, G., Luque-Heredia, I.: Photovoltaic concentration at the onset of its commercial deployment. Prog. Photovoltaics Res. Appl. 14(5), 413–428 (2006)CrossRef

17.

Minemoto, T., Nakada, Y., Takahashi, H., Takakura, H.: Uniqueness verification of solar spectrum index of average photon energy for evaluating outdoor performance of photovoltaic modules. Solar Energy 83(8), 1294–1299 (2009)CrossRef

18.

Moller, M.F.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Netw. 6(4), 525–533 (1993)CrossRef

19.

Nishioka, K., Takamoto, T., Agui, T., Kaneiwa, M., Uraoka, Y., Fuyuki, T.: 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 Mater. Solar Cells 90(1), 57–67 (2006)CrossRef

20.

Nofuentes, G., García-Domingo, B., Muoz, J., Chenlo, F.: Analysis of the dependence of the spectral factor of some pv technologies on the solar spectrum distribution. Appl. Energy 113, 302–309 (2014)CrossRef

21.

Peharz, G., Ferrer Rodríguez, J., Siefer, G., Bett, A.: Investigations on the temperature dependence of cpv modules equipped with triple-junction solar cells. Prog. Photovoltaics Res. Appl. 19(1), 54–60 (2011)CrossRef

22.

Rodrigo, P., Fernández, E., Almonacid, F., Pérez-Higueras, P.: Models for the electrical characterization of high concentration photovoltaic cells and modules: a review. Renew. Sustain. Energy Rev. 26, 752–760 (2013)CrossRef

23.

Siefer, G., Bett, A.: Analysis of temperature coefficients for III-V multi-junction concentrator cells. Prog. Photovoltaics Res. Appl. 22(5), 515–524 (2014)CrossRef

24.

Storn, R., Price, K.: Differential evolution: a simple and efficient adaptive scheme forglobal optimization over continuous spaces.Technical report TR-95-012 (1995)

25.

Wang, L.X., Mendel, J.M.: Generating fuzzy rules by learning from examples. IEEE Trans. Syst. Man Cybern. 22(6), 1414–1427 (1992)MathSciNetCrossRef

Titel: Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach
verfasst von: Cristobal J. Carmona
F. Pulgar
Antonio Jesús Rivera-Rivas
Maria Jose del Jesus
J. Aguilera
Verlag: Springer International Publishing
Buch: Hybrid Artificial Intelligent Systems
Print ISBN: 978-3-319-32033-5

Electronic ISBN: 978-3-319-32034-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-32034-2_23

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