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Assessing the Reliability and Optimizing Input Parameters of the NWP-CFD Downscaling Method for Generating Onshore Wind Energy Resource Maps of South Korea

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  • Jeonghyeon Kim

    (Mechanical & Automotive Engineering Department, Seoul National University of Science & Technology, Seoul 01811, Republic of Korea
    These authors contributed equally to this work.)

  • Hyungoo Moon

    (Mechanical & Automotive Engineering Department, Seoul National University of Science & Technology, Seoul 01811, Republic of Korea
    These authors contributed equally to this work.)

  • Jin-Yong Kim

    (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea)

  • Keon Hoon Kim

    (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea)

  • Hyun-Goo Kim

    (Korea Institute of Energy Research, Wind Energy Research Center, Daejeon 34129, Republic of Korea)

  • Sung Goon Park

    (Mechanical & Automotive Engineering Department, Seoul National University of Science & Technology, Seoul 01811, Republic of Korea)

Abstract

The numerical weather prediction (NWP) method is one of the popular wind resource forecasting methods, but it has the limitation that it does not consider the influence of local topography. The NWP-CFD downscaling considers topographic features and surface roughness by performing computational fluid dynamics (CFD) with the meteorological data obtained by the NWP method as a boundary condition. The NWP-CFD downscaling is expected to be suitable for wind resource forecasting in Korea, but it lacks a quantitative evaluation of its reliability. In this study, we compare the actual measured data, the NWP-based data, and the NWP-CFD-based data quantitatively and analyze the three main input parameters used for the calculation of NWP-CFD (minimum vertical grid size Δ z min , the difference angle Δ dir , and the forest model activation reference length l 0 ). Compared to the actual measurement data, the NWP-based data overestimate wind resources by more than 35%, while the NWP-CFD-based data show an error of about 8.5%. The Δ z min and Δ dir have little effect on the results, but the l 0 has a large effect on the simulation results, and it is necessary to adjust the values appropriately corresponding to the characteristics of an area.

Suggested Citation

  • Jeonghyeon Kim & Hyungoo Moon & Jin-Yong Kim & Keon Hoon Kim & Hyun-Goo Kim & Sung Goon Park, 2024. "Assessing the Reliability and Optimizing Input Parameters of the NWP-CFD Downscaling Method for Generating Onshore Wind Energy Resource Maps of South Korea," Energies, MDPI, vol. 17(3), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:648-:d:1329228
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    References listed on IDEAS

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    1. Giovanni Gualtieri, 2021. "Reliability of ERA5 Reanalysis Data for Wind Resource Assessment: A Comparison against Tall Towers," Energies, MDPI, vol. 14(14), pages 1-21, July.
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