High resolution wind field study with Wind Ninja Model for estimating Wind Energy

Authors

DOI:

https://doi.org/10.5902/2179460X53215

Keywords:

WRF, Wind Ninja, Numerical methods, Wind forecast

Abstract

In this work it was proposed to predict high resolution wind fields in order to simulate the wind speed and direction variables in the Cerro Chato wind complex located in the city of Santana do Livramento / RS. For this, numerical weather forecasting techniques were used, using the \ textit {Weather Research and Forecasting} (WRF) model and a microscale mass and momentum conservation model, known as Windninja. In this study, the simulated data was compared with the observation data collected by the towers of the wind farm in question, using statistical procedures. The results presented by the Windninja simulation software were efficient, but not very effective.

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Author Biographies

César Magno Leite de Oliveira Júnior, Universidade Federal de Pelotas, Capão do Leão, RS

Formado em licenciatura em matemática e especializado em modelagem computacional na Universidade Federal do Pampa, em 2015 e 2018, respectivamente, concluiu, em 2020, o mestrado em modelagem matemática na Universidade Federal de Pelotas

Nivea Maria Barreto Nunes Oleques, Universidade Federal de Pelotas, Capão do Leão, RS

Formada em licenciatura em matemática e especializada em modelagem computacional na Universidade Federal do Pampa, em 2015 e 2018, respectivamente, concluiu, em 2020, o mestrado em modelagem matemática na Universidade Federal de Pelotas

Fabricio Pereira Harter, Universidade Federal de Pelotas, Bagé, RS

Graduado em Meteorologia pela Universidade Federal de Pelotas , Mestre em Meteorologia pelo Instituto Nacional de Pesquisas Espaciais e Doutor em Computação Aplicada pelo Instituto Nacional de Pesquisas Espaciais com Pós-Doutorado pela University of Waterloo

Jonas da Costa Carvalho, Universidade Federal de Pelotas, Capão do Leão, RS

Possui graduação em meteorologia pela Universidade Federal de Pelotas (UFPel), mestrado em meteorologia pela Universidade de São Paulo e doutorado em meteorologia pela Universidade de São Paulo e Instituto di Cosmo Geofisica, Turin, Itália

Marcelo Romero de Moraes, Universidade Federal de Pelotas, Capão do Leão, RS

Possui graduação em Meteorologia pela Universidade Federal de Pelotas (UFPEL 1993), Mestrado em Sensoriamento Remoto pela Universidade Federal do Rio Grande do Sul (UFRGS 1995) e Doutorado em Engenharia Mecânica pela Universidade Federal de Santa Catarina (UFSC 2004)

References

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Published

2020-08-28

How to Cite

Oliveira Júnior, C. M. L. de, Oleques, N. M. B. N., Harter, F. P., Carvalho, J. da C., & Moraes, M. R. de. (2020). High resolution wind field study with Wind Ninja Model for estimating Wind Energy. Ciência E Natura, 42, e33. https://doi.org/10.5902/2179460X53215

Issue

Vol. 42 (2020): SPECIAL EDITION: XI WORKSHOP BRASILEIRO DE MICROMETEOROLOGIA

Section

Special Edition

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