• New & Renewable Energy
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• v.1 no.2 s.2
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• pp.19-25
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• 2005

This study explains ther procedure that should be taken to develp a successful wind park project. It provides a guideline for the activities and studies to be done as a step by step solution. This study follows a chronological flow throughout the whole development Process. This Paper covers technical consideration, assessment of wind energy resource, wind Park siting and energy yield calculation This presented knowledge h3s been mostly gained by the experience from Youngduk wind park project. The further comparison study will be performed between the theoretical prediction and the actual yield of the Youngduk wind park.

• 한국신재생에너지학회:학술대회논문집
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• 2005.06a
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• pp.21-24
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• 2005

This study explains the procedure that should be taken to develop a successful wind park project. It Provide guideline for activities and studies to be done step by step solution. This study follow a chronological flow through the development process. They cover Technical consideration, Assessment of Wind Energy Resource, Wind park siting and Energy yield calculation. It's build on the experience gained by the Youngduk Wind Park project and give the playa role in the development of wind energy projects. It is important to understand all theses issues if a new project is to be successfully completed.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.56.2-56.2
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• 2011

As rotor blade of a wind turbine becomes larger to satisfy the economic efficiency for offshore wind farm, the numerical analysis considering wind profile is getting emphasized. In this paper, the study for the power characteristic of a wind turbine is carried out using NREL phase VI wind turbine applied wind profile. The experimental data of NASA Ames wind tunnel for inflow velocity 7m/s is used and the numerical result is obtained by using CFD commercial solver(FLUENT).

• 한국신재생에너지학회:학술대회논문집
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• 2005.11a
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• pp.711-711
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• 2005

• Journal of information and communication convergence engineering
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• v.8 no.1
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• pp.29-34
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• 2010

Wind speed and wind direction are usually taken using two parameters: wind speed and wind direction. This paper studies the average wind speed and direction calculation methods. The paper first introduces to basic wind's knowledge, and then presents several methods in calculating average wind speed and direction. Lastly some graphs are plotted base on these computational methods and the implementation of these methods in an actual buoy system.

• 한국전산유체공학회:학술대회논문집
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• 2011.05a
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• pp.286-290
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• 2011

This paper introduces the optimum macro-siting of a potential site for an offshore wind farm around Jeju Island using the RDAPS sea wind model. The statistical model was developed by analyzing the sea wind data from RDAPS model, and the meso-scale digital wind map was prepared. To develop the high resolution spatial calibration model, Artificial Neural Network(ANN) models were used to construct the wind and bathymetric maps. Accuracy and consistency of wind/bathymetric spatial calibration models were obtained using analysis of variance. The optimization problem was defined to maximize the energy density satisfying the criteria of maximum water depth and maximum distance from the coastline. The candidate site was selected through Genetic Algorithm(GA). From the results, it is possible to predict roughly a candidate site location for the installation of the offshore wind jam, and to evaluate the wind resources of the proposed site.

• Journal of the Korean Solar Energy Society
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• v.30 no.2
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• pp.46-53
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• 2010

In this paper the feasibility of wind power forecasting from MOS(Model Output Statistics) was evaluated at Gosan area in Jeju during February to Octoberin 2008. The observed wind data from wind turbine was compared with 24 hours and 48 hours forecasting wind data from MOS predicting. Coefficient of determination of measured wind speed from wind turbine and 24 hours forecasting from MOS was around 0.53 and 48 hours was around 0.30. These determination factors were increased to 0.65 from 0.53 and 0.35 from 0.30, respectively, when it comes to the prevailing wind direction($300^{\circ}\sim60^{\circ}$). Wind power forecasting ratio in 24 hours of MOS showed a value of 0.81 within 70% confidence interval and it also showed 0.65 in 80% confidence interval. It is suggested that the additional study of weather conditions be carried out when large error happened in MOS forecasting.

• Journal of Wind Energy
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• v.4 no.1
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• pp.60-67
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• 2013

A web-based program was developed for analyzing weather and structure data from the HeMOSU-1 offshore meteorological mast installed by the KEPCO Research Institute, and 35 km west-southwestward away from Gyeokpo located in Jeonbuk province. All of the measured data are obtained through the data transmitter and the server systems equipped on the HeMOSU-1 and the aerodynamic laboratory in Chonbuk National University respectively. The dualised server system consists of two servers, one is for logging the 1 second based raw data with 10 minute averaged values, and the other is for managing web page with processed weather data. Daily or weekly 10-min averaged data can be provided based on the input date by users. Processed weather data such as wind rose, Weibull distribution, diurnal distribution, turbulence intensity according to wind speed, wind energy density, and so forth are visualized through the web page which would be both useful and informative for developing the wind farm or designing a wind blade for the wind farm nearby southwest sea around the Korean Peninsula. The URL for this web page is http://www.hemosu.org/.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.4
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• pp.627-630
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• 2016

Recently, the size of wind farms is becoming larger, and the integration of high wind generation resources into power gird is becoming more important. Due to intermittency of wind generating resources, it is an essential to predict power outputs. In this paper, we introduce the basic concept of curvilinear regression, which is one of the method of wind power prediction. The empirical data, wind farm power output in Jeju Island, is considered to verify the proposed prediction model.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.189.1-189.1
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• 2010

The wind farm where the wind velocity condition is excellent and economical can be established to produce power with the multiple wind power turbine. The wind velocity which is suitable to Wind Power Development must be evaluated for searching the economical wind farm on planning the wind farm. In this paper, based on wind speed data at 24 locations in Korea from 1971 through 2009, the basic wind velocity which can be applied to designing wind power development is estimated using the statiscal process. The wind velocity which is measured from observation stations is revised according to wind gauge's height and Circumferential environment. The wind speeds for 200 year's return period in 24 locations are determined using the Gumbel's distribution.