Ramiro Gutiérrez
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ramiro Gutiérrez has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Alexandre Torres Silva dos Santos
SENAI Institute of Innovation in Renewable Energies (ISI-ER), SENAI Institute of Innovation in Renewable Energies (ISI-ER), Natal, Brazil, Brazil
1 shared publication - Aléxia Monteiro Valentim
SENAI Institute of Innovation in Renewable Energies (ISI-ER), SENAI Institute of Innovation in Renewable Energies (ISI-ER), Natal, Brazil, Brazil
1 shared publication - Everton de Almeida
IER, Universidad Tecnológica de Uruguay, Montevideo, Uruguay, Uruguay
1 shared publication - Franciele Weschenfelder
IER, Universidad Tecnológica de Uruguay, Montevideo, Uruguay, Uruguay
1 shared publication - Gilvani Gomes de Carvalho
SENAI Institute of Innovation in Renewable Energies (ISI-ER), senaSENAI Institute of Innovation in Renewable Energies (ISI-ER), Natal, Brazil, Brazil
1 shared publication - Leonardo de Lima Oliveira
SENAI Institute of Innovation in Renewable Energies (ISI-ER), SENAI Institute of Innovation in Renewable Energies (ISI-ER), Natal, Brazil, Brazil
1 shared publication
Latest Publications
- Open Access
- 11 November 2026
- Published by MDPI AG in Preprints.org
Atmospheric Stability Regimes and Wind Energy Potential in the Brazilian Semi-Arid Region: Tower Observations Versus WRF Simulations
Atmospheric stability regulates wind shear, turbulence, and turbine power output, so its misrepresentation by mesoscale models can bias wind resource estimates. Previous studies assessed stability effects on energy yield from either observations or simulations, mostly at mid-latitude sites. This study applies the same stability-segregated energy calculation to both at Jandaíra, in the semi-arid region of Northeast Brazil, during the dry season (June–December 2024). A 173 m meteorological tower was compared with WRF v4.3 simulations (NCAR TROPICAL suite, YSU boundary layer scheme, 2 km grid). Stability was classified with the bulk Richardson number and the Monin–Obukhov length, and energy production was estimated for the NREL 5 MW and DTU 10 MW reference turbines. Observations show a predominantly stable 10–100 m layer following the diurnal cycle and a predominantly unstable 100–130 m layer. WRF reproduces the lower-layer diurnal pattern but overestimates nighttime stability above 100 m; wind speed RMSE decreases from 2.76 m/s at 10 m to 1.87 m/s at 150 m. Simulated energy production is 35.5–39.5% lower than observed. Stability segregation changes the estimate in opposite directions (−14.3 to −14.7% observed; +10.0 to +11.0% simulated), so a correction based on simulated stability may bias energy yield estimates in semi-arid tropical regions.
- 11 November 2026
- Published by MDPI AG in Preprints.org
Open AccessAtmospheric Stability Regimes and Wind Energy Potential in the Brazilian Semi-Arid Region: Tower Observations Versus WRF Simulations
Atmospheric stability regulates wind shear, turbulence, and turbine power output, so its misrepresentation by mesoscale models can bias wind resource estimates. Previous studies assessed stability effects on energy yield from either observations or simulations, mostly at mid-latitude sites. This study applies the same stability-segregated energy calculation to both at Jandaíra, in the semi-arid region of Northeast Brazil, during the dry season (June–December 2024). A 173 m meteorological tower was compared with WRF v4.3 simulations (NCAR TROPICAL suite, YSU boundary layer scheme, 2 km grid). Stability was classified with the bulk Richardson number and the Monin–Obukhov length, and energy production was estimated for the NREL 5 MW and DTU 10 MW reference turbines. Observations show a predominantly stable 10–100 m layer following the diurnal cycle and a predominantly unstable 100–130 m layer. WRF reproduces the lower-layer diurnal pattern but overestimates nighttime stability above 100 m; wind speed RMSE decreases from 2.76 m/s at 10 m to 1.87 m/s at 150 m. Simulated energy production is 35.5–39.5% lower than observed. Stability segregation changes the estimate in opposite directions (−14.3 to −14.7% observed; +10.0 to +11.0% simulated), so a correction based on simulated stability may bias energy yield estimates in semi-arid tropical regions.