Wind Resource Assessment using MERRA-2 and Meteorological Mast Data

The most crucial factors in wind farm development are the best turbine selection, data collection accuracy, wind turbine positioning, and wake effect considerations. This work deals with the wind resource assessment (WRA) of an onshore wind farm with MERRA-2 Reanalysis data for repowering. The analysis is carried out by a comparison of Wind Resource Assessment (WRA) conducted through MERRA-2 Reanalysis data and meteorological data for investigating the variance through the comparison of MERRA- 2 and meteorological data, though the former is cheaper. The simulation is done using Wind Atlas Analysis and Application Program (WA
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P) software by Denmark Technological University (DTU), and the major results obtained from WA
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P after the wind farm modelling are Annual Energy Production (AEP), Wind Power Density (WPD), and Resource Grid.