Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates

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作者
Byeongtaek Kim
Keonwoo Lee
Kyungnam Ko
Jungchul Choi
机构
[1] Jeju National University,Multidisciplinary Graduate School Program for Wind Energy
[2] Jeju National University,Faculty of Wind Energy Engineering, Graduate School
[3] Korea Institute of Energy Research,Wind Energy Research Team
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Scientific Reports | / 12卷
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摘要
Long-term offshore wind resource assessment was performed for the offshore site off the Daejeong coast on Jeju Island of South Korea. A jacket type offshore met mast was installed at the site to measure wind and meteorological conditions for 1 year from 1 July 2015 to 30 June 2016. The wind conditions were measured at 32.5 m, 72.5 m and 100.5 m above mean sea level (AMSL). Fundamental wind characteristics such as average wind speed, wind direction frequency, turbulence intensity and so on were analyzed utilizing 1-year wind measurements. In order to correct the limited period of 1-year measurements to long-term conditions, the Measure-Correlate-Predict (MCP) method was applied to estimate 30-year wind conditions using nearby Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) reanalysis data. Also, wind turbine classes suitable for the offshore site were determined based on extreme wind speed estimations and the measured ambient turbulence intensity. Five commercial wind turbines were chosen for estimation of the 30-year annual energy productions (AEPs) and capacity factors (CFs). As a result, it was estimated that the 30-year average wind speed was 7.86 m/s at 100.5 m AMSL. The wind turbine class II rating was estimated to be suitable for enduring extreme wind speed for a return period of 50 years. For the 30-year results, the minimum CF of 30.48% was estimated, while the maximum nearly reached 45%.
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[1]  
Kalair A(2021)Role of energy storage systems in energy transition from fossil fuels to renewables Energy Storage 3 e135-1122
[2]  
Abas N(2015)Impacts of urbanization and industrialization on energy consumption/CO Renew. Sustain. Energy Rev. 52 1107-50
[3]  
Saleem MS(2019) emissions: Does the level of development matter? Energy Strat. Rev. 24 38-731
[4]  
Kalair AR(2020)The role of renewable energy in the global energy transformation Sustainability 12 3151-563
[5]  
Khan N(2017)Public acceptance of the “Renewable Energy 3020 Plan”: Evidence from a contingent valuation study in South Korea Energy 139 706-162
[6]  
Li K(2019)Offshore wind resource assessment and wind power plant optimization in the Gulf of Thailand Energy 189 116299-26
[7]  
Lin B(2020)Assessment of large-scale wind resource features in Algeria Energy 190 116447-532
[8]  
Gielen D(2021)Optimized wind and wave energy resource assessment and offshore exploitability in the Mediterranean Sea Energies 14 3448-400
[9]  
Boshell F(2021)Wind climate and wind power resource assessment based on gridded scatterometer data: A Thracian Sea case study Energies 14 448-710
[10]  
Saygin D(2012)A minimalistic prediction model to determine energy production and costs of offshore wind farms Energy 46 555-116