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Title: Representative identification of spectra and environments (RISE) using k‐means

Authors:
 [1];  [1];  [2];  [3];  [4];  [5];  [6];  [6];  [1];  [2]
  1. Department of Mechanical Engineering, Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge, MA 02139 USA
  2. High Throughput Methods in Photovoltaics Research Department, HI‐ERN, Forschungszentrum Jülich Helmholtz Institute Erlangen‐Nürnberg for Renewable Energy Immerwahrstraße 2 Erlangen 91058 Germany
  3. Tandem Solar Cells Group, Solar Energy Institute of Singapore 7 Engineering Drive 1, 06‐01 Block E3A Singapore 117574 Singapore
  4. Department of Photonics Engineering Technical University of Denmark Frederiksborgvej 399, Building 130 Rosklide 4000 Denmark
  5. Laboratório Fotovoltaica da UFSC, Fotovoltaica‐UFSC—Centro de Pesquisa e Capacitação em Energia Solar da UFSC Av. Luiz Boiteux Piazza, 1302, Lotes 114/115, Sapiens Parque Florianópolis Brazil
  6. School of Electrical, Computing and Energy Engineering Arizona State University TempeAZ 85281 USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1734958
Alternate Identifier(s):
OSTI ID: 1779978
Grant/Contract Number:  
DE‐EE0007535
Resource Type:
Published Article
Journal Name:
Progress in Photovoltaics
Additional Journal Information:
Journal Name: Progress in Photovoltaics Journal Volume: 29 Journal Issue: 2; Journal ID: ISSN 1062-7995
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Looney, Erin E., Liu, Zhe, Classen, Andrej, Liu, Haohui, Riedel, Nicholas, Braga, Marília, Balaji, Pradeep, Augusto, André, Buonassisi, Tonio, and Marius Peters, Ian. Representative identification of spectra and environments (RISE) using k‐means. United Kingdom: N. p., 2020. Web. https://doi.org/10.1002/pip.3358.
Looney, Erin E., Liu, Zhe, Classen, Andrej, Liu, Haohui, Riedel, Nicholas, Braga, Marília, Balaji, Pradeep, Augusto, André, Buonassisi, Tonio, & Marius Peters, Ian. Representative identification of spectra and environments (RISE) using k‐means. United Kingdom. https://doi.org/10.1002/pip.3358
Looney, Erin E., Liu, Zhe, Classen, Andrej, Liu, Haohui, Riedel, Nicholas, Braga, Marília, Balaji, Pradeep, Augusto, André, Buonassisi, Tonio, and Marius Peters, Ian. Wed . "Representative identification of spectra and environments (RISE) using k‐means". United Kingdom. https://doi.org/10.1002/pip.3358.
@article{osti_1734958,
title = {Representative identification of spectra and environments (RISE) using k‐means},
author = {Looney, Erin E. and Liu, Zhe and Classen, Andrej and Liu, Haohui and Riedel, Nicholas and Braga, Marília and Balaji, Pradeep and Augusto, André and Buonassisi, Tonio and Marius Peters, Ian},
abstractNote = {},
doi = {10.1002/pip.3358},
journal = {Progress in Photovoltaics},
number = 2,
volume = 29,
place = {United Kingdom},
year = {2020},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1002/pip.3358

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Works referenced in this record:

Urban haze and photovoltaics
journal, January 2018

  • Peters, I. M.; Karthik, S.; Liu, H.
  • Energy & Environmental Science, Vol. 11, Issue 10
  • DOI: 10.1039/C8EE01100A

Energy Yield Limits for Single-Junction Solar Cells
journal, June 2018


Least squares quantization in PCM
journal, March 1982


Spectral modeling and spectral impacts on the performance of mc-Si and new generation CdTe photovoltaics in warm and sunny climates
journal, August 2019


General temperature dependence of solar cell performance and implications for device modelling
journal, January 2003

  • Green, Martin A.
  • Progress in Photovoltaics: Research and Applications, Vol. 11, Issue 5
  • DOI: 10.1002/pip.496

Global Comparison of the Impact of Temperature and Precipitable Water on CdTe and Silicon Solar Cells
conference, June 2017

  • Peters, I. M.; Haohui, L.; Reindl, T.
  • 2017 IEEE 44th Photovoltaic Specialists Conference (PVSC), 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC)
  • DOI: 10.1109/PVSC.2017.8366566

Comprehensive characterisation and analysis of PV module performance under real operating conditions: Comprehensive characterisation and analysis of PV module performance under real operating conditions
journal, December 2016

  • Louwen, Atse; de Waal, Arjen C.; Schropp, Ruud E. I.
  • Progress in Photovoltaics: Research and Applications, Vol. 25, Issue 3
  • DOI: 10.1002/pip.2848

Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?
journal, June 2017


Highly efficient single-junction GaAs thin-film solar cell on flexible substrate
journal, July 2016

  • Moon, Sunghyun; Kim, Kangho; Kim, Youngjo
  • Scientific Reports, Vol. 6, Issue 1
  • DOI: 10.1038/srep30107

Diffusion of Rb in polycrystalline Cu(In,Ga)Se 2 layers and effect of Rb on solar cell parameters of Cu(In,Ga)Se 2 thin-film solar cells
journal, October 2018

  • Wuerz, R.; Hempel, W.; Jackson, P.
  • Journal of Applied Physics, Vol. 124, Issue 16
  • DOI: 10.1063/1.5044629

On the methodology of energy yield assessment for one-Sun tandem solar cells
journal, October 2016


Temperature dependence of solar cell performance—an analysis
journal, June 2012


Spectral correction for photovoltaic module performance based on air mass and precipitable water
conference, June 2016


Direct Beam and Diffuse Spectral Irradiance Measurements in a Nordic Country Analyzed With the Average Photon Energy Parameter
conference, June 2018

  • Riedel, Nicholas; Thorseth, Anders; Santamaria Lancia, Adrian A.
  • 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC)
  • DOI: 10.1109/PVSC.2018.8548240

Universal rules for visible-light absorption in hybrid perovskite materials
journal, March 2017

  • Kato, Masato; Fujiseki, Takemasa; Miyadera, Tetsuhiko
  • Journal of Applied Physics, Vol. 121, Issue 11
  • DOI: 10.1063/1.4978071

Parameterized transmittance model for direct beam and circumsolar spectral irradiance
journal, November 2001


Global Prediction of Photovoltaic Field Performance Differences Using Open-Source Satellite Data
journal, February 2018


Solar cell designs by maximizing energy production based on machine learning clustering of spectral variations
journal, December 2018


Physics of the temperature coefficients of solar cells
journal, September 2015


Changes in Cadmium Telluride Photovoltaic System Performance due to Spectrum
journal, January 2013


Methodology of energy yield modelling of perovskite-based multi-junction photovoltaics
journal, January 2019

  • Schmager, Raphael; Langenhorst, Malte; Lehr, Jonathan
  • Optics Express, Vol. 27, Issue 8
  • DOI: 10.1364/OE.27.00A507

Spectral irradiance effects on the outdoor performance of photovoltaic modules
journal, March 2017


On the impact of solar spectral irradiance on the yield of different PV technologies
journal, January 2015