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March 5, 2026Energy Reports1 citationsOpen Access

Solar irradiation variability in the high Andean region of Amazonas-Peru: Spatiotemporal climatic perspective to evaluate the potential for solar energy implementation

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RIRoberth Esteve Iliquin-FernandezJVJ. VenerosWAWildor Gosgot Angeles

Key Points

  • The research aims to analyze the trends of solar radiation, temperature, and precipitation to evaluate their impact on solar energy implementation.
  • Collected climate data from three meteorological stations: Congón, Luya Viejo, and Kuélap.
  • Employed spatial interpolation techniques, particularly Kriging, to analyze data.
  • Performed Mann-Kendall statistical tests to detect temporal trends and calculated change magnitude using the Sen estimator.
  • Utilized Principal Component Analysis to evaluate relationships among the climate variables over the study period.
  • Identified a significant reduction in solar radiation at -3.16 W/m²/year, especially notable in November.
  • Observed a rising temperature trend averaging up to 0.34°C/year.
  • Recorded significant peaks in rainfall during January and March.
  • Noted that El Niño and La Niña events were influential in rainfall variability and solar energy potential.

Abstract

The variability of solar radiation in the high Andean area of the Amazonas-Peru region is a critical factor to evaluate the potential for solar energy projects amid climate change. The objective of the study was to analyze spatiotemporal trends of solar radiation, temperature, and precipitation between 2015 and 2024, determining their relationship and implications for solar energy use. Climate data were collected from three meteorological stations (Congón, Luya Viejo, and Kuélap) and analyzed using spatial interpolation techniques (Kriging) and Mann-Kendall statistical tests to detect temporal trends, complemented with the Sen estimator to measure change magnitude. Time series identified the evolution of climate variables during the study, and Principal Component Analysis (PCA) evaluated the relationship of these variables with the years analyzed. The results showed a trend toward increasing temperature in most months, especially from January to March, and a significant reduction in annual solar radiation (-3.16 W/m²/year), with minimums in April and November. Rainfall increased significantly in March and January, highlighting seasonality in the region. Extreme weather events such as El Niño and La Niña influenced observed variability. This study provides novel evidence in a poorly documented Andean region, integrating spatial and multivariate analyses to assess solar potential in a conservation area. Although dry-season radiation is high, climate variability and cloudiness reduce photovoltaic efficiency. Still, stable solar resources in clear areas and rising temperatures create opportunities for sustainable projects and support renewable energy policies in Peru’s highlands. • Spatiotemporal analysis of solar radiation, temperature, and rainfall in the high Andean zone of Amazonas. • Solar radiation declines, strongest in November (−5.29 W/m²/year). • Temperatures rise (up to 0.34°C/year); rainfall peaks in January and March. • El Niño and La Niña drive rainfall extremes, affecting solar energy potential. • Findings support renewable energy planning in northern Peru’s Andean highlands.

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Cite This Study

Iliquin-Fernandez et al. (2026) studied this question.

synapsesocial.com/papers/69a91e2cd6127c7a504c1d7bhttps://doi.org/10.1016/j.egyr.2026.109149
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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