Validation of Solar Irradiation Data Through Comparative Analysis of Cloud Cover and Seasonal Trends

Accurate solar irradiation data is crucial for the effective design, operation, and performance assessment of solar energy systems. These data are essential for predicting energy yield, optimizing system configurations, and making informed investment decisions. However, solar irradiation is highly variable, influenced by factors such as cloud cover and seasonal changes. This study presents a validation of solar irradiation data through a comparative analysis that considers the impact of these two key factors: cloud cover and seasonal trends. By examining the accuracy of the data under varying cloud conditions and across different seasons, this research aims to provide insights into the reliability of solar irradiation data for various applications.

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Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/ispcc66872.2025.11039606
Citations
1
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
2.48
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article

Validation of Solar Irradiation Data Through Comparative Analysis of Cloud Cover and Seasonal Trends

Nishant Jain, Cesar Humberto Estrada Crisanto
1 citations
Solar Radiation and Photovoltaics
2.48
article

Validation of Solar Irradiation Data Through Comparative Analysis of Cloud Cover and Seasonal Trends

Nishant Jain, Cesar Humberto Estrada Crisanto
article en
1 citations

Abstract

Accurate solar irradiation data is crucial for the effective design, operation, and performance assessment of solar energy systems. These data are essential for predicting energy yield, optimizing system configurations, and making informed investment decisions. However, solar irradiation is highly variable, influenced by factors such as cloud cover and seasonal changes. This study presents a validation of solar irradiation data through a comparative analysis that considers the impact of these two key factors: cloud cover and seasonal trends. By examining the accuracy of the data under varying cloud conditions and across different seasons, this research aims to provide insights into the reliability of solar irradiation data for various applications.

Jaypee University of Information Technology (IN), Universidad Nacional de Piura (PE)
Climate action
Openalex Percentile: Top 10%
Solar Radiation and Photovoltaics
2.48
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