PV power modelling using solar radiation from ground-based measurements and CAMS: Assessing the diffuse component related uncertainties leveraging the Global Solar Energy Estimator (GSEE)
Nikolaos Papadimitriou,Ilias Fountoulakis,Antonis Gkikas,Kyriakoula Papachristopoulou,Andreas Kazantzidis,Stelios Kazadzis,Stefan Pfenninger,John Kapsomenakis,Kostas Eleftheratos,Athanassios A. Argiriou,Lionel Doppler,and Christos S. Zerefos
Mariolopoulos-Kanaginis Foundation for the Environmental Sciences, 10675 Athens, Greece
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Views and downloads (calculated since 06 Nov 2025)
Cumulative views and downloads
(calculated since 06 Nov 2025)
Total article views: 318 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
309
0
9
318
0
0
HTML: 309
PDF: 0
XML: 9
Total: 318
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 06 Nov 2025)
Cumulative views and downloads
(calculated since 06 Nov 2025)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 318 (including HTML, PDF, and XML)
Thereof 310 with geography defined
and 8 with unknown origin.
Total article views: 318 (including HTML, PDF, and XML)
Thereof 310 with geography defined
and 8 with unknown origin.
We perform Photovoltaic (PV) power simulations with the Global Solar Energy Estimator and assess the uncertainty linked to the use of a diffuse fraction model. Validation is conducted under diverse atmospheric conditions, including cloudiness and aerosols, using input data from ground-based measurements and the Copernicus Atmosphere Monitoring Service (CAMS). Results indicate that simulations are reliable under most conditions, with overestimations occurring during intense dust events.
We perform Photovoltaic (PV) power simulations with the Global Solar Energy Estimator and assess...