Next Article in Journal
Rectangular-Normalized Superpixel Entropy Index for Image Quality Assessment
Previous Article in Journal
A Logarithmic Quantization-Based Image Watermarking Using Information Entropy in the Wavelet Domain
Previous Article in Special Issue
Computational Simulation of Entropy Generation in a Combustion Chamber Using a Single Burner
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Entropy 2018, 20(12), 946; https://doi.org/10.3390/e20120946

Spatial and Temporal Non-Linear Dynamics Analysis and Predictability of Solar Radiation Time Series for La Reunion Island (France)

1
Faculty of Sciences and Technology, University of La Réunion, Laboratoire d’Energétique, d’Electronique et Procédés, Sainte-Clotilde, 97715 La Réunion, France
2
Faculty of Agriculture, University of Novi Sad, 21000 Novi Sad, Serbia
3
ACIMSI—Center for Meteorology and Environmental Modeling, University of Novi Sad, 21000 Novi Sad, Serbia
4
Direction Interregionale, 50 Boulevard Chaudron, Sainte-Clotilde 97490, La Reunion
*
Author to whom correspondence should be addressed.
Received: 12 November 2018 / Revised: 30 November 2018 / Accepted: 6 December 2018 / Published: 8 December 2018
Full-Text   |   PDF [12266 KB, uploaded 11 December 2018]   |  

Abstract

Analysis of daily solar irradiation variability and predictability in space and time is important for energy resources planning, development, and management. The natural intermittency of solar irradiation is mainly triggered by atmospheric turbulent conditions, radiative transfer, optical properties of cloud and aerosol, moisture and atmospheric stability, orographic and thermal forcing, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the period 2011–2015, at 32 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use the tools of non-linear dynamics: the intermittency and chaos analysis, the largest Lyapunov exponent, Sample entropy, the Kolmogorov complexity and its derivatives (Kolmogorov complexity spectrum and its highest value), and spatial weighted Kolmogorov complexity combined with Hamming distance to assess complexity and corresponding predictability. Finally, we have clustered the Kolmogorov time (that quantifies the time span beyond which randomness significantly influences predictability) for daily cumulative solar irradiation for all stations. We show that under the record-breaking 2011–2012 La Nina event and preceding a very strong El-Nino 2015–2016 event, the predictability of daily incident solar energy over La Réunion is affected. View Full-Text
Keywords: cumulative daily solar irradiation; La Réunion; tropical island; complexity measures; entropy; chaos; spatial weighted Kolmogorov complexity; Hamming distance; Kolmogorov time predictability mapping cumulative daily solar irradiation; La Réunion; tropical island; complexity measures; entropy; chaos; spatial weighted Kolmogorov complexity; Hamming distance; Kolmogorov time predictability mapping
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Bessafi, M.; Mihailović, D.T.; Malinović-Milićević, S.; Mihailović, A.; Jumaux, G.; Bonnardot, F.; Fanchette, Y.; Chabriat, J.-P. Spatial and Temporal Non-Linear Dynamics Analysis and Predictability of Solar Radiation Time Series for La Reunion Island (France). Entropy 2018, 20, 946.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top