Atmospheric mesoscale modeling to simulate annual and seasonal wind speeds for wind energy production in Mexico

• DOI: 10.1016/j.seta.2024.103848
• Publication Date: 2024-06-21T12:41:17Z
• Authors: J.G. Hernandez-Yepes; O. Rodriguez-Hern...; C.A. Lopez-Villal...; O. Martínez-Alvarado

Numerical models have been used widely to reproduce wind resources around the globe.Mexico's vast territory has a wide range of geographical characteristics with abundant potential.This work explores WRF simulations applied speed and capacity factor (CF) 22 masts, organized into seven regions delimited by geographic conditions consisting 33 years data.Biases, correlations, dispersion indexes terrain gradient are selected study model experimental data annually seasonally.Results indicate that show persistent positive bias in all regions, leading overestimating CF.In seasonal analysis, 86% CF falls between -0.1 0.1 range.Bias is not related physical phenomenon; instead, it appears be conditions.The findings different combinations settings should chosen better reflect phenomena affect intricate Mexican landscape for energy production.This research identify best reproducibility suggests potential areas future on forecasting.