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Title: Spectral binning for energy production calculations and multijunction solar cell design

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 3more » 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.« less

Authors:
 [1];  [2];  [2];  [2];  [2];  [2];  [2]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States); Univ. Politecnica de Madrid (Spain)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1415018
Report Number(s):
NREL/JA-5J00-68331
Journal ID: ISSN 1062-7995
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Progress in Photovoltaics
Additional Journal Information:
Journal Volume: 26; Journal Issue: 1; Journal ID: ISSN 1062-7995
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; energy harvesting efficiency; multijunction solar cells; spectral binning

Citation Formats

Garcia, Iván, McMahon, William E., Habte, Aron, Geisz, John F., Steiner, Myles A., Sengupta, Manajit, and Friedman, Daniel J. Spectral binning for energy production calculations and multijunction solar cell design. United States: N. p., 2017. Web. doi:10.1002/pip.2943.
Garcia, Iván, McMahon, William E., Habte, Aron, Geisz, John F., Steiner, Myles A., Sengupta, Manajit, & Friedman, Daniel J. Spectral binning for energy production calculations and multijunction solar cell design. United States. doi:10.1002/pip.2943.
Garcia, Iván, McMahon, William E., Habte, Aron, Geisz, John F., Steiner, Myles A., Sengupta, Manajit, and Friedman, Daniel J. Thu . "Spectral binning for energy production calculations and multijunction solar cell design". United States. doi:10.1002/pip.2943. https://www.osti.gov/servlets/purl/1415018.
@article{osti_1415018,
title = {Spectral binning for energy production calculations and multijunction solar cell design},
author = {Garcia, Iván and McMahon, William E. and Habte, Aron and Geisz, John F. and Steiner, Myles A. and Sengupta, Manajit and Friedman, Daniel J.},
abstractNote = {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.},
doi = {10.1002/pip.2943},
journal = {Progress in Photovoltaics},
number = 1,
volume = 26,
place = {United States},
year = {2017},
month = {9}
}

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Works referenced in this record:

Analysis of Multijunction Solar Cell Current–Voltage Characteristics in the Presence of Luminescent Coupling
journal, October 2013


Spectral study and classification of worldwide locations considering several multijunction solar cell technologies: Spectral study and classification of worldwide locations
journal, May 2016

  • Núñez, Rubén; Jin, Chen; Victoria, Marta
  • Progress in Photovoltaics: Research and Applications, Vol. 24, Issue 9
  • DOI: 10.1002/pip.2781

Generalized Optoelectronic Model of Series-Connected Multijunction Solar Cells
journal, November 2015


Status of C3MJ+ and C4MJ Production Concentrator Solar Cells at Spectrolab
journal, April 2012


Current-matching estimation for multijunction cells within a CPV module by means of component cells: Current-matching estimation for MJ cells within a concentrator
journal, June 2012

  • Domínguez, César; Antón, Ignacio; Sala, Gabriel
  • Progress in Photovoltaics: Research and Applications, Vol. 21, Issue 7
  • DOI: 10.1002/pip.2227

Band gap-voltage offset and energy production in next-generation multijunction solar cells
journal, November 2010

  • King, R. R.; Bhusari, D.; Boca, A.
  • Progress in Photovoltaics: Research and Applications, Vol. 19, Issue 7
  • DOI: 10.1002/pip.1044

Optimization of Multijunction Solar Cells Through Indoor Energy Yield Measurements
journal, January 2015


Triple-junction solar cell performance under Fresnel-based concentrators taking into account chromatic aberration and off-axis operation
conference, January 2012

  • Espinet-González, P.; Mohedano, R.; García, I.
  • 8TH INTERNATIONAL CONFERENCE ON CONCENTRATING PHOTOVOLTAIC SYSTEMS: CPV-8, AIP Conference Proceedings
  • DOI: 10.1063/1.4753839

Effects of Temperature on Hybrid Lens Performance
conference, January 2011

  • Askins, Steve; Victoria, Marta; Herrero, Rebeca
  • 7TH INTERNATIONAL CONFERENCE ON CONCENTRATING PHOTOVOLTAIC SYSTEMS: CPV-7, AIP Conference Proceedings
  • DOI: 10.1063/1.3658294

Comparing The Energy Yield of (III–V) Multi-Junction Cells With Different Numbers Of Sub-Cells
conference, January 2010

  • Lumb, M. P.; Dobbin, A. L.; Bushnell, D. B.
  • 6TH INTERNATIONAL CONFERENCE ON CONCENTRATING PHOTOVOLTAIC SYSTEMS: CPV-6, AIP Conference Proceedings
  • DOI: 10.1063/1.3509216

Investigations on the temperature dependence of CPV modules equipped with triple-junction solar cells
journal, December 2010

  • Peharz, Gerhard; Ferrer Rodríguez, Juan P.; Siefer, Gerald
  • Progress in Photovoltaics: Research and Applications, Vol. 19, Issue 1
  • DOI: 10.1002/pip.987

Tuning the current ratio of a CPV system to maximize the energy harvesting in a particular location
conference, January 2013

  • Victoria, M.; Askins, S.; Nuñez, R.
  • 9TH INTERNATIONAL CONFERENCE ON CONCENTRATOR PHOTOVOLTAIC SYSTEMS: CPV-9, AIP Conference Proceedings
  • DOI: 10.1063/1.4822221

Energy harvesting efficiency of III–V triple-junction concentrator solar cells under realistic spectral conditions
journal, May 2010


Efficient Multijunction Solar Cell Design for Maximum Annual Energy Yield by Representative Spectrum Selection
journal, March 2017


Assessing the Efficiency of Advanced Multijunction Solar Cells in Real Working Conditions: A Theoretical Analysis
journal, November 2015


Spectrum Sensitivity, Energy Yield, and Revenue Prediction of PV Modules
journal, January 2015


Non-linear luminescent coupling in series-connected multijunction solar cells
journal, June 2012

  • Steiner, Myles A.; Geisz, John F.
  • Applied Physics Letters, Vol. 100, Issue 25
  • DOI: 10.1063/1.4729827