Výsledky vyhledávání - "Enric Grau-Luque"

Thickness evaluation of AlO x barrier layers for encapsulation of flexible PV modules in industrial environments by normal reflectance and machine learning

Autor: Alejandro Pérez-Rodríguez, Fieke Van den Bruele, Pieter Bolt, Maxim Guc, Victor Izquierdo-Roca, Ignacio Becerril-Romero, Enric Grau-Luque, Ulfert Ruhle

Publikováno v: Progress in Photovoltaics: Research and Applications. 30:229-239

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29f2595da062e986cb335c3193b17d05
https://doi.org/10.1002/pip.3478

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Thickness evaluation of AlOx barrier layers for encapsulation of flexible PV modules in industrial environments by normal reflectance and machine learning

Autor: Enric Grau-Luque, Maxim Guc, Ignacio Becerril-Romero, Alejandro Pérez-Rodríguez, Pieter Bolt, Fieke van den Bruele, Ulfert Ruhle, Víctor Izquierdo-Roca

Flexible photovoltaic (PV) devices, such as those based on CIGS and perovskites, use polymeric front sheets for encapsulation that do not provide sufficient protection against the environment. The addition of nanometric AlOx layers by spatial atomic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::ae7300dd99391e5fea9340fb8db870b3
https://zenodo.org/record/7683847

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Insights into the Effects of RbF-PDT on the Absorber Surface of High Efficiency CIGSe Solar Cells and Development of Analytical and Machine Learning Process Monitoring Methodologies Based on Combinatorial Analysis

Autor: Robert Fonoll-Rubio, Stefan Paetel, Enric Grau-Luque, Ignacio Becerril-Romero, Rafael Mayer, Alejandro Pérez-Rodríguez, Maxim Guc, Victor Izquierdo-Roca

The latest record efficiencies of the Cu(In,Ga)Se2 (CIGSe) photovoltaic technology have been driven by heavy alkali post-deposition treatments (PDTs). Despite their positive effect, especially in the Voc of the devices, their underlying mechanisms ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::c662f8b49585004804f7a6fafe37d604
https://zenodo.org/record/7683839

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Combinatorial and machine learning approaches for the analysis of Cu2ZnGeSe4: influence of the off-stoichiometry on defect formation and solar cell performance

Autor: Maxim Guc, Victor Izquierdo-Roca, Zouheir Sekkat, Safae Aazou, Robert Fonoll-Rubio, Ignacio Becerril-Romero, Alejandro Pérez-Rodríguez, Nada Benhaddou, Ikram Anefnaf, Enric Grau-Luque, Edgardo Saucedo

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Solar cells based on quaternary kesterite compounds like Cu2ZnGeSe4 are complex systems where the variation of one parameter can result in changes in the whole system, and, as consequence, in the global performance of the devices. In this way, analys

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aff511ae495f60d5e8bb784c61381d6f
https://zenodo.org/record/4742379

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Insights into the Effects of RbF‐Post‐Deposition Treatments on the Absorber Surface of High Efficiency Cu(In,Ga)Se 2 Solar Cells and Development of Analytical and Machine Learning Process Monitoring Methodologies Based on Combinatorial Analysis

Autor: Robert Fonoll‐Rubio, Stefan Paetel, Enric Grau‐Luque, Ignacio Becerril‐Romero, Rafael Mayer, Alejandro Pérez‐Rodríguez, Maxim Guc, Victor Izquierdo‐Roca

Publikováno v: Advanced Energy Materials. 12:2103163

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a3aa2bff63bb7bc9767916aff23407d7
https://doi.org/10.1002/aenm.202103163

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Effect of soiling in bifacial PV modules and cleaning schedule optimization

Autor: Enric Grau Luque, Rodrigo Escobar, Fernando Antonanzas-Torres

Publikováno v: Energy Conversion and Management. 174:615-625

Bifacial photovoltaic (PV) modules and cells can transform solar radiation into electricity from both front and rear sides, unlike traditional solar technologies which can only generate power through the front face. This ability has shown to increase

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54be489ea458063ea94e3089ffca8a17
https://doi.org/10.1016/j.enconman.2018.08.065

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spectrapepper: A Python toolbox for advanced analysis of spectroscopic data for materials and devices

Autor: Alejandro Pérez-Rodríguez, Fabien Atlan, Maxim Guc, Ignacio Becerril-Romero, Enric Grau-Luque, Victor Izquierdo-Roca

Publikováno v: Journal of Open Source Software. 6:3781

spectrapepper is a Python package that aims to ease and accelerate the use of advanced tools such as machine learning and combinatorial analysis, through simple, straightforward, and intuitive code and functions. This library includes a wide range of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40c521884156a2a83fbe470f8e3f1b94
https://doi.org/10.21105/joss.03781

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