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Objective: Analyze the wind potential in the highland region of Peru, using data from SENAMHI and NASA to identify its utilization. Theoretical Framework: Key concepts and theories about the characterization of wind resources, the Weibull distribution, and renewable energies are presented, providing a solid foundation for the analysis. Method: The research included a quantitative analysis of meteorological data from SENAMHI (2022-2023) and NASA to characterize wind speed at different heights. Data collection was carried out by comparing average hourly and monthly speeds. Results and Discussion: An average difference of 29.67% in wind speeds was found between SENAMHI and NASA data during spring and summer. Despite the discrepancies, both datasets indicated that the NASA database is reliable. The estimated annual wind power density was 17.7 W/m² at 25 m height, reaching 44.27 W/m² at 100 m, with higher densities in October and November. Research Implications: The results provide key information for the development of low-power wind systems in highland regions, underscoring the importance of reliable data for planning and developing renewable energies. Originality/Value: This study validates the reliability of NASA and SENAMHI data for the characterization of wind resources, contributing to future renewable energy projects in similar areas and highlighting the potential of Puno for low-power wind systems.
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Mamani et al. (2024) studied this question.
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