• Title/Summary/Keyword: 풍력터빈등급

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Application of InVEST Offshore Wind Model for Evaluation of Offshore Wind Energy Resources in Jeju Island (제주도 해상풍력 에너지 자원평가를 위한 InVEST Offshore Wind 모형 적용)

  • KIM, Tae-Yun;JANG, Seon-Ju;KIM, Choong-Ki
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.2
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    • pp.47-59
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    • 2017
  • This study aims to assess offshore wind energy resources around Jeju Island using the InVEST Offshore Wind model. First the wind power density around the coast of Jeju was calculated using reanalysis data from the Korean Local Analysis and Prediction System (KLAPS). Next, the net present value (NPV) for the 168MW offshore wind farm scenario was evaluated taking into consideration factors like costs (turbine development, submarine cable installation, maintenance), turbine operation efficiency, and a 20year operation period. It was determined that there are high wind resources along both the western and eastern coasts of Jeju Island, with high wind power densities of $400W/m^2$ calculated. To visually evaluate the NPV around Jeju Island, a classification of five grades was employed, and results showed that the western sea area has a high NPV, with wind power resources over $400W/m^2$. The InVEST Offshore Wind model can quickly provide optimal spatial information for various wind farm scenarios. The InVEST model can be used in combination with results of marine ecosystem service evaluation to design an efficient marine spatial plan around Jeju Island.

Estimation of Reference Wind Speeds in Offshore of the Korean Peninsula Using Reanalysis Data Sets (재해석자료를 이용한 한반도 해상의 기준풍속 추정)

  • Kim, Hyun-Goo;Kim, Boyoung;Kang, Yong-Heack;Ha, Young-Cheol
    • New & Renewable Energy
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    • v.17 no.4
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    • pp.1-8
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    • 2021
  • To determine the wind turbine class in the offshore of the Korean Peninsula, the reference wind speed for a 50-y return period at the hub height of a wind turbine was estimated using the reanalysis data sets. The most recent reanalysis data, ERA5, showed the highest correlation coefficient (R) of 0.82 with the wind speed measured by the Southwest offshore meteorological tower. However, most of the reanaysis data sets except CFSR underestimated the annual maximum wind speed. The gust factor of converting the 1 h-average into the 10 min-average wind speed was 1.03, which is the same as the WMO reference, using several meteorological towers and lidar measurements. Because the period, frequency, and path of typhoons invading the Korean Peninsula has been changing owing to the climate effect, significant differences occurred in the estimation of the extreme wind speed. Depending on the past data period and length, the extreme wind speed differed by more than 30% and the extreme wind speed decreased as the data period became longer. Finally, a reference wind speed map around the Korean Peninsula was drawn using the data of the last 10 years at the general hub-height of 100 m above the sea level.