Back to Search Start Over

Solar Irradiance Ramp Forecasting Based on All-Sky Imagers

Authors :
Logothetis, Stavros-Andreas
Salamalikis, Vasileios
Nouri, Bijan
Remund, Jan
Zarzalejo, Luis F.
Xie, Yu
Wilbert, Stefan
Ntavelis, Evangelos
Nou, Julien
Hendrikx, Niels
Visser, Lennard
Sengupta, Manajit
Pó, Mário
Chauvin, Remi
Grieu, Stéphane
Blum, Niklas
Sark, Wilfried van
Kazantzidis, Andreas
Logothetis, Stavros-Andreas
Salamalikis, Vasileios
Nouri, Bijan
Remund, Jan
Zarzalejo, Luis F.
Xie, Yu
Wilbert, Stefan
Ntavelis, Evangelos
Nou, Julien
Hendrikx, Niels
Visser, Lennard
Sengupta, Manajit
Pó, Mário
Chauvin, Remi
Grieu, Stéphane
Blum, Niklas
Sark, Wilfried van
Kazantzidis, Andreas
Source :
Energies vol.15 (2022) date: 2022-08-31 nr.17 p.1-17 [ISSN 1996-1073]
Publication Year :
2022

Abstract

Solar forecasting constitutes a critical tool for operating, producing and storing generated power from solar farms. In the framework of the International Energy Agency’s Photovoltaic Power Systems Program Task 16, the solar irradiance nowcast algorithms, based on five all-sky imagers (ASIs), are used to investigate the feasibility of ASIs to foresee ramp events. ASIs 1–2 and ASIs 3–5 can capture the true ramp events by 26.0–51.0% and 49.0–92.0% of the cases, respectively. ASIs 1–2 provided the lowest (

Details

Database :
OAIster
Journal :
Energies vol.15 (2022) date: 2022-08-31 nr.17 p.1-17 [ISSN 1996-1073]
Notes :
DOI: 10.3390/en15176191, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1445825854
Document Type :
Electronic Resource