Comparative Evaluation of the Third-Generation Reanalysis Data for Wind Resource Assessment of the Southwestern Offshore in South Korea

Kim, Hyun Goo; Kim, Jin Young; Kang, Yong-Heack

doi:10.3390/atmos9020073

Cited by 39 publications

(13 citation statements)

References 15 publications

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“…The wind fields are reported to a 10 m height above the sea level, and in this case the wind speed is denoted with U10 (m/s). For large water areas, the ERA-Interim data are frequently used to assess the wind potential on various regions, such as Global [32,33], Europe [34][35][36], South China Sea [37], South Korea [38] or Chile [39]. Another dataset used in this work comes from the AVISO (Archiving, Validation and Interpretation of Satellite Oceanographic Data) project, and includes gridded near-real time wind speeds.…”

Section: Datasetmentioning

confidence: 99%

Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Onea

Rusu

2018

Energies

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The main objective of this work was to evaluate the nearshore wind resources in the Black Sea area by using a high resolution wind database (ERA-Interim). A subsequent objective was to estimate what type of wind turbines and wind farm configurations would be more suitable for this coastal environment. A more comprehensive picture of these resources was provided by including some satellite measurements, which were also used to assess the wind conditions in the vicinity of some already operating European wind projects. Based on the results of the present work, it seems that the Crimea Peninsula has the best wind resources. However, considering the current geopolitical situation, it seems that the sites on the western part of this basin (Romania and Bulgaria) would represent more viable locations for developing offshore wind projects. Since there are currently no operational wind projects in this marine area, some possible configurations for the future wind farms are proposed.

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Section: Datasetmentioning

confidence: 99%

Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Onea

Rusu

2018

Energies

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“…Yue et al [37] evaluated wind resources by using on-ground station data, mast and floating light detection and ranging (LiDAR), and MERRA. Similar evaluation studies can be found in [38][39][40][41][42]. Nevertheless, and despite the fact that the starting point for most of these contributions is a historical wind-data campaign with some variables under different formats (quantitative and spatial), only a few works focus on characterizing and comparing online wind-atlas databases currently available in the specific literature for the researcher community [43].…”

Section: Introductionmentioning

confidence: 77%

Online Wind-Atlas Databases and GIS Tool Integration for Wind Resource Assessment: A Spanish Case Study

et al. 2022

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Renewable energy sources are becoming increasingly integrated into the electricity-generation sector, being eco-friendly solutions, decreasing global warming, and improving the energy transition process. Among the different renewables, wind energy is considered a mature, clean, renewable, and inexhaustible technology as well, becoming one of the main resources in a sustainable framework. Aiming to evaluate the wind resource, scientific contributions have mostly presented a common basis: historical data campaigns of the wind resource mainly considering wind speed—including the module, direction, standard deviation, etc. However, online wind-atlas databases are becoming tools widely used for both wind-resource assessment and optimal wind-power locations. Under this framework, this study analyzed and compared such online wind data sources and their integration with GIS tools for optimal wind-resource-assessment purposes. The proposed methodology identified the corresponding wind-atlas databases directly on their websites and indirectly through the wind data used in relevant contributions about the optimal location of wind sites. Our contribution to the scientific community is thus the review and comparison of these atlas databases for reducing the barrier to access wind data—including GIS-tool-integration analysis. The limitations raised by civil societies, particularly regarding environmental and bird concerns, were not included in this study. Nevertheless, the authors are aware of these concerns and limitations. A Spanish case study was also included in this work, comparing both estimated and collected wind-atlas databases in terms of wind-resource assessment.

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“…In this regard, employing reanalysis data using data assimilation to provide distributed data from numerical models, satellites, and field observations are among the most common procedure in climate change studies. Therefore, they have been widely applied for different purposes by many researchers to evaluate wind climate for different areas (Bednorz, Półrolniczak, Czernecki, & Tomczyk, 2019;Kim, Kim, & Kang, 2018;Rodrigo, Buchlin, van Beeck, Lenaerts, & van den Broeke, 2013;Shanas & Sanil Kumar, 2014). ERA5 as the most recent update on ECMWF (European Center for Medium-Range Weather Forecasts) provides hourly estimates of a large number of atmospheric, land and oceanic climate variables.…”

Section: Data Resourcesmentioning

confidence: 99%

Application of ERA5 and MENA Simulations to Predict Offshore Wind Energy Potential<strong> </strong>

Shamshirband¹,

Mosavi²,

Nabipour³

et al. 2020

Preprint

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This study explores wind energy resources in different locations through the Gulf of Oman and also their future variability due climate change impacts. In this regard, EC-EARTH near surface wind outputs obtained from CORDEX-MENA simulations are used for historical and future projection of the energy. The ERA5 wind data are employed to assess suitability of the climate model. Moreover, the ERA5 wave data over the study area are applied to compute sea surface roughness as an important variable for converting near surface wind speeds to those of wind speed at turbine hub-height. Considering the power distribution, bathymetry and distance from the coats, some spots as tentative energy hotspots to provide detailed assessment of directional and temporal variability and also to investigate climate change impact studies. RCP8.5 as a common climatic scenario is used to project and extract future variation of the energy in the selected sites. The results of this study demonstrate that the selected locations have a suitable potential for wind power turbine plan and constructions.

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Comparative Evaluation of the Third-Generation Reanalysis Data for Wind Resource Assessment of the Southwestern Offshore in South Korea

Cited by 39 publications

References 15 publications

Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Online Wind-Atlas Databases and GIS Tool Integration for Wind Resource Assessment: A Spanish Case Study

Application of ERA5 and MENA Simulations to Predict Offshore Wind Energy Potential<strong> </strong>

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