SciELO - Scientific Electronic Library Online

 
vol.43 número2Distribución de probabilidades de los caudales mensuales en las regiones de cuyo y patagonia (Argentina): Aplicación al monitoreo de sequías hidrológicasModelado estadístico del caudal mensual en la baja Cuenca del Plata índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Meteorologica

versión On-line ISSN 1850-468X

Resumen

GUOZDEN, Tomás Manuel; BIANCHI, Emilio; SOLARTE, Andrés  y  MULLEADY, Cristóba. Wind resource assessment in the Río Negro province (Patagonia Argentina) using MERRA reanalysis. Meteorologica [online]. 2018, vol.43, n.2, pp.47-61. ISSN 1850-468X.

Argentinean Patagonia presents a large potential for wind energy generation. Currently, despite of several projects being developed, there is no installed wind power at Río Negro province. In the present paper, we perform an assessment of the wind energy resource in the province, using wind data derived from MERRA (Modern Era Retrospective Analysis for Research and Applications) reanalysis. We compared time series, histograms and wind roses between wind data derived from MERRA and wind data observed at several meteorological stations finding, in general, good agreement between them. We fitted the hourly wind data to a Weibull distribution for each grid point of the MERRA dataset, and mapped the mean annual wind speed and Weibull k factor. We then computed the capacity factors for different wind generators. We have identified several different spots with optimal parameters and closeness to existing infrastructure (power lines and roads).

Palabras clave : Patagonia; Wind energy; Reanalysis.

        · resumen en Español     · texto en Inglés

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons