eprintid: 47860 rev_number: 17 eprint_status: archive userid: 4856 dir: disk0/00/04/78/60 datestamp: 2017-09-26 08:34:47 lastmod: 2019-03-14 13:54:48 status_changed: 2019-03-14 13:54:48 type: article metadata_visibility: show creators_name: García Vara, Iván creators_name: McMahon, William E. creators_name: Habte, Aron creators_name: Geisz, John F. creators_name: Steiner, Myles A. creators_name: Sengupta, Manajit creators_name: Friedman, Daniel J. creators_id: igarcia@ies-def.upm.es title: Spectral binning for energy production calculations and multijunction solar cell design ispublished: pub subjects: renovables keywords: energy harvesting efficiency multijunction solar cells spectral binning note: Semiconductores III-V abstract: Currently, most solar cells are designed for and evaluated under standard spectra intended to represent typical spectral conditions. However, no single spectrum can capture the spectral variability needed for annual energy production (AEP) calculations, and this shortcoming becomes more significant for series-connected multijunction cells as the number of junctions increases. For this reason, AEP calculations are often performed on very detailed yearlong sets of data, but these pose 2 inherent challenges: (1) These data sets comprise thousands of data points, which appear as a scattered cloud of data when plotted against typical parameters and are hence cumbersome to classify and compare, and (2) large sets of spectra bring with them a corresponding increase in computation or measurement time. Here, we show how a large spectral set can be reduced to just a few “proxy” spectra, which still retain the spectral variability information needed for AEP design and evaluation. The basic “spectral binning” methods should be extensible to a variety of multijunction device architectures. In this study, as a demonstration, the AEP of a 4-junction device is computed for both a full set of spectra and a reduced proxy set, and the results show excellent agreement for as few as 3 proxy spectra. This enables much faster (and thereby more detailed) calculations and indoor measurements and provides a manageable way to parameterize a spectral set, essentially creating a “spectral fingerprint,” which should facilitate the understanding and comparison of different sites. (C) John Wiley & Sons Ltd date: 2017-09 date_type: published publisher: John Wiley & Sons Ltd. official_url: http://onlinelibrary.wiley.com/doi/10.1002/pip.2943/full id_number: 10.1002/pip.2943 full_text_status: public publication: Progress in Photovoltaics: Research and Applications volume: N/A number: N/A pagerange: 1-7 institution: Ies department: Electronica2 refereed: TRUE issn: 1099-159X rights: none comprojects_type: FP7 comprojects_type: MINECO comprojects_code: 299878 comprojects_code: RYC‐2014‐15621 comprojects_acronym: METACELLS comprojects_title: Advanced epitaxy of metamorphic semiconductor structures for multijunction solar cells citation: García Vara, Iván and McMahon, William E. and Habte, Aron and Geisz, John F. and Steiner, Myles A. and Sengupta, Manajit and Friedman, Daniel J. (2017). Spectral binning for energy production calculations and multijunction solar cell design. "Progress in Photovoltaics: Research and Applications", v. N/A (n. N/A); pp. 1-7. ISSN 1099-159X. https://doi.org/10.1002/pip.2943 . document_url: https://oa.upm.es/47860/1/IGarcia_SpecBinning_PiP_170410a_paraRepositorioDigital.pdf