Solar Irradiance Ramp Forecasting Based on All-Sky Imagers
Publication date
2022-09-01
Authors
Logothetis, Stavros-Andreas
Salamalikis, Vasileios
Nouri, Bijan
Remund, Jan
Zarzalejo, Luis F.
Xie, Yu
Wilbert, Stefan
Ntavelis, Evangelos
Nou, Julien
Hendrikx, Niels
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Advisors
Supervisors
Document Type
Article
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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 (
Keywords
all-sky imagers, solar irradiance ramp event forecasting, ramp events, forecasting, SDG 7 - Affordable and Clean Energy
Citation
Logothetis, S-A, Salamalikis, V, Nouri, B, Remund, J, Zarzalejo, L F, Xie, Y, Wilbert, S, Ntavelis, E, Nou, J, Hendrikx, N, Visser, L, Sengupta, M, Pó, M, Chauvin, R, Grieu, S, Blum, N, Sark, W V & Kazantzidis, A 2022, 'Solar Irradiance Ramp Forecasting Based on All-Sky Imagers', Energies, vol. 15, no. 17, 6191, pp. 1-17. https://doi.org/10.3390/en15176191