Effect of horizontal and vertical resolution for wind resource assessment in Metro Manila, Philippines using Weather Research and Forecasting (WRF) model

2016 ◽  
Author(s):  
Jerome T. Tolentino ◽  
Ma. Victoria Rejuso ◽  
Loureal Camille Inocencio ◽  
Ma. Rosario Concepcion Ang ◽  
Gerry Bagtasa
Keyword(s):  
Wrf Model ◽  
Resource Assessment ◽  
Weather Research And Forecasting ◽  
Vertical Resolution ◽  
Wind Resource Assessment ◽  
Metro Manila ◽  
Wind Resource ◽  
Weather Research

scholarly journals Applying Satellite Data Assimilation to Wind Simulation of Coastal Wind Farms in Guangdong, China

2020 ◽  
Vol 12 (6) ◽  
pp. 973
Author(s):  
Wenqing Xu ◽  
Like Ning ◽  
Yong Luo
Keyword(s):  
Wind Speed ◽  
Data Assimilation ◽  
Satellite Data ◽  
Surface Wind ◽  
Wrf Model ◽  
Wind Farms ◽  
Resource Assessment ◽  
Near Surface ◽  
Wind Resource Assessment ◽  
Wind Resource

With the development of the wind power industry in China, accurate simulation of near-surface wind plays an important role in wind-resource assessment. Numerical weather prediction (NWP) models have been widely used to simulate the near-surface wind speed. By combining the Weather Research and Forecast (WRF) model with the Three-dimensional variation (3DVar) data assimilation system, our work applied satellite data assimilation to the wind resource assessment tasks of coastal wind farms in Guangdong, China. We compared the simulation results with wind speed observation data from seven wind observation towers in the Guangdong coastal area, and the results showed that satellite data assimilation with the WRF model can significantly reduce the root-mean-square error (RMSE) and improve the index of agreement (IA) and correlation coefficient (R). In different months and at different height layers (10, 50, and 70 m), the Root-Mean-Square Error (RMSE) can be reduced by a range of 0–0.8 m/s from 2.5–4 m/s of the original results, the IA can be increased by a range of 0–0.2 from 0.5–0.8 of the original results, and the R can be increased by a range of 0–0.3 from 0.2–0.7 of the original results. The results of the wind speed Weibull distribution show that, after data assimilation was used, the WRF model was able to simulate the distribution of wind speed more accurately. Based on the numerical simulation, our work proposes a combined wind resource evaluation approach of numerical modeling and data assimilation, which will benefit the wind power assessment of wind farms.

A hybrid solution for offshore wind resource assessment from limited onshore measurements

2021 ◽  
Vol 298 ◽  
pp. 117245
Author(s):  
Basem Elshafei ◽  
Alfredo Peña ◽  
Dong Xu ◽  
Jie Ren ◽  
Jake Badger ◽  
...  
Keyword(s):  
Resource Assessment ◽  
Offshore Wind ◽  
Wind Resource Assessment ◽  
Hybrid Solution ◽  
Wind Resource
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