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https://doi.org/10.22541/au.16...
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://doi.org/10.22541/au.16...
Article . 2021 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.60692/5k...
Other literature type . 2021
Data sources: Datacite
https://dx.doi.org/10.60692/pb...
Other literature type . 2021
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Reporting Device Performance of Emerging Photovoltaic Materials (Version 1)

أداء جهاز الإبلاغ عن المواد الكهروضوئية الناشئة (الإصدار 1)
Authors: Osbel Almora; Derya Baran; Guillermo C. Bazan; Carlos I. Cabrera; Kylie Catchpole; Sule Erten‐Ela; Fei Guo; +25 Authors

Reporting Device Performance of Emerging Photovoltaic Materials (Version 1)

Abstract

Emerging photovoltaics (PVs), focuses on a variety of applications complementing large scale electricity generation. For instance, organic, dye-sensitized and some perovskite solar cells are considered in building integration, greenhouses, wearable and indoors, thereby motivating research on flexible, transparent, semitransparent, and multi-junction PVs. Nevertheless, it can be very time consuming to find or develop an up-to-date overview over the state-of-the-art performance for these systems and applications. Two important resources for record research cells efficiencies are the National Renewable Energy Laboratory chart and the efficiency tables compiled biannually by Martin Green and colleagues. Both publications provide an effective coverage over the established technologies, bridging research and industry. An alternative approach is proposed here summarizing the best reports in the diverse research subjects for emerging PVs. Best performance parameters are provided as a function of the photovoltaic bandgap energy for each technology and application, and are put into perspective using, e.g., the Shockley-Queisser limit. In all cases, the reported data correspond to published and/or properly described certified results, with enough details provided for prospective data reproduction. Additionally, the stability test energy yield (STEY) is included as an analysis parameter among state-of-the-art emerging PVs.

Keywords

Renewable energy, Artificial intelligence, Energy Conversion Efficiency, Multijunction Solar Cells, Variety (cybernetics), Computer science, Data science, Systems engineering, Photovoltaics, Engineering, Concentrator Photovoltaics, Electricity, Electrical engineering, Physical Sciences, FOS: Electrical engineering, electronic engineering, information engineering, Solar Resource, Multijunction Solar Cell Technology, Electrical and Electronic Engineering, Photovoltaic system

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid