Solar Energy: An Optical Analysis for Regions Located in Intertropical Zones

The sun represents a potential opportunity for sustainable energy production. The study of solar energy harvesting reinforces this promise, with studies simulating different operating environments by estimating the sun’s orientation toward the south or north, depending on the planet’s location. However, studies for latitudes between 23° South and 23° North are a little-explored area. This research investigates different energy harvesting scenarios in flat-plate collectors, combining different possibilities throughout the year, analyzing the amount of energy captured using algorithms and Monte Carlo simulation. The methodology allows predicting efficiencies above 36% simply by rotating the harvesting devices from north to south or vice versa just twice a year.

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Publication Details

Journal
Energies
Published
2025-10-03
DOI
https://doi.org/10.3390/en18195266
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Solar Energy: An Optical Analysis for Regions Located in Intertropical Zones

Felipe M. Galleguillos Madrid, Carlos Ramón Batista-Rodríguez, Leonel Paredes‐Madrid, Omar F. Rojas-Moreno et al.
Energies
Photovoltaic System Optimization Techniques
article

Solar Energy: An Optical Analysis for Regions Located in Intertropical Zones

Felipe M. Galleguillos Madrid, Carlos Ramón Batista-Rodríguez, Leonel Paredes‐Madrid, Omar F. Rojas-Moreno, Luis Fernando Castañeda-Melo
article en

Abstract

The sun represents a potential opportunity for sustainable energy production. The study of solar energy harvesting reinforces this promise, with studies simulating different operating environments by estimating the sun’s orientation toward the south or north, depending on the planet’s location. However, studies for latitudes between 23° South and 23° North are a little-explored area. This research investigates different energy harvesting scenarios in flat-plate collectors, combining different possibilities throughout the year, analyzing the amount of energy captured using algorithms and Monte Carlo simulation. The methodology allows predicting efficiencies above 36% simply by rotating the harvesting devices from north to south or vice versa just twice a year.

EnergiesVol. 18(19)
Universidad de Antofagasta (CL), Universidad Antonio Nariño (CO)
Universidad de Nariño
Openalex Percentile: Top 82%
Photovoltaic System Optimization Techniques
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