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Expanding PVLIB Python for Modeling Static CPV Systems

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2019 Spain English Publisher:ZenodoFunded by:EC | GRECO
Authors: Moreno, Marcos; Steinbach, Inia; Haas, Sabine; Askins, Steve; Herrero, Rebeca; Antón, Ignacio; Anglade, Laetitia; +2 Authors

doi: 10.5281/zenodo.3831397 , 10.5281/zenodo.3831396

Expanding PVLIB Python for Modeling Static CPV Systems

Abstract

Advances on the open modeling of integrate-microtracking static CPV module technologies like that of Insolight, to be integrated with PVLIB Python. Paper presented at the 13th PV Performance Modeling Collaborative Workshop in KunShan, Jiangsu, China.

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Spain
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Keywords

photovoltaics, open source, PVLIB Python, Energía Eléctrica, PV modeling, concentrator photovoltaics

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selected citations
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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).
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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!
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