Seasonal Variability and Performance Optimization of Wind Power Generation: A Comprehensive Study of ENGIE Operations

Arellanos-Tafur E.; Damas-Niño M. · Proceedings of 2025 International Conference on Artificial Intelligence, Embedded Systems, and Renewable Energy, AIESRE 2025 (2025) · DOI: 10.1109/aiesre67541.2025.11470185

Resumen

This comprehensive study examines wind energy generation patterns exclusively across four ENGIE wind facilities in Peru over a complete annual cycle, from May 1, 2024 to April 30, 2025. A total of 362 days of daily generation data were analyzed, representing 1,119,674 MWh of clean energy production across the portfolio. The research reveals significant seasonal variations in wind power output, with peak generation consistently occurring during Peru's austral winter months (June-September), when atmospheric conditions are most favorable for harvesting. The facilities demonstrated substantial performance heterogeneity, with average daily production ranging from 399 MWh to 1,182 MWh, and capacity factors varying between 25% and 74%. Wind generation exhibited strong correlation with regional meteorological patterns, particularly during the dry season when atmospheric stability enhances predictability. Statistical analysis revealed coefficients of daily output variability ranging from 0.45 to 0.85 across different facilities, underscoring the critical need for complementary storage systems and advanced grid-balancing strategies. The study provides evidence-based insights into optimizing wind farm operations in tropical latitudes and confirms Peru's excellent potential for large-scale deployment. Correlation analysis between facilities reveals moderate to strong statistical relationships (0.45-0.89), highlighting diversification opportunities and portfolio optimization strategies. These findings contribute significantly to understanding wind energy dynamics, offering clear evidence of seasonal dependence, site heterogeneity, and inter-facility synergies, with data-driven recommendations for expanding sustainable energy infrastructure in Peru and similar regions.

Instituciones: Universidad Continental; Universidad Nacional del Callao