Abstract
This study evaluated the applicability of long-term datasets among third-generation reanalysis data CFSR, ERA-Interim, MERRA, and MERRA-2 to determine which dataset is more suitable when performing wind resource assessment for the ‘Southwest 2.5 GW Offshore Wind Power Project’, which is currently underway strategically in South Korea. The evaluation was performed by comparing the reanalyses with offshore, onshore, and island meteorological tower measurements obtained in and around the southwest offshore. In the pre-processing of the measurement data, the shading sectors due to a meteorological tower were excluded from all observation data, and the measurement heights at the offshore meteorological towers were corrected considering the sea level change caused by tidal difference. To reflect the orographic forcing by terrain features, the reanalysis data were transformed by using WindSim, a flow model based on computational fluid dynamics and statistical-dynamic downscaling. The comparison of the reanalyses with the measurement data showed the fitness in the following order in terms of coefficient of determination: MERRA-2 > CFSR = MERRA > ERA-Interim. Since the measurement data at the onshore meteorological towers strongly revealed a local wind system such as sea-land breeze, it is judged to be inappropriate for use as supplementary data for offshore wind resource assessment.
Highlights
The opening of a wind power project is determined based on a feasibility study that estimates the profit of wind energy production, cost of wind farm construction, and operations and maintenance (O&M)
ERA-Interim, MERRA, Compared to resource assessment, such as CFSR, ERA-Interim, MERRA, and Compared to independent independent meteorological tower measurements, all four perform significantly better than the meteorological tower measurements, four perform significantly thanscales
Et al [4] evaluated the third-generation reanalysis data using high-rise meteorological tower evaluated the third-generation reanalysis data using high-rise meteorological tower measurements measurements at 35 sites; the comparison result showed that R of CFSR and ERA-Interim was about
Summary
The opening of a wind power project is determined based on a feasibility study that estimates the profit of wind energy production, cost of wind farm construction, and operations and maintenance (O&M). Kim et al [2] pointed out that, if the ‘Southwest Offshore Wind Project’ depended on the short-term measurements of offshore meteorological towers only, uncertainties became larger due to the variability of wind resource, resulting in increases in project risk. Depended on the short-term measurements of offshore meteorological towers only, uncertainties became larger due to the variability of wind resource, resulting in increases in project risk. Nowadays,observation reanalysis data dataon tend to be employed more Since as long-term reference than meteorological nearby islands or onshore. Et al [4] evaluated the third-generation reanalysis data using high-rise meteorological tower evaluated the third-generation reanalysis data using high-rise meteorological tower measurements measurements at 35 sites; the comparison result showed that R of CFSR and ERA-Interim was about. Since meteorological towers installed on islands and coasts are affected by flow transform caused by terrain features, numerical analysis using CFD was conducted to correct the effect
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