• Journal of the Korean Society of Marine Environment & Safety
• /
• v.18 no.6
• /
• pp.545-550
• /
• 2012

Wind resource assessment is necessary when designing wind farm. To get the assessment, we must use a long term(20 years) observed wind data but it is so hard. so that we usually measured more than a year on the planned site. From the wind data, we can calculate wind energy related with the wind farm site. However, it calculate wind energy to collect the long term data from Met-mast(Meteorology Mast) station on the site since the Met-mast is unstable from strong wind such as Typhoon or storm surge which is Non-periodic. To solve the lack of the long term data of the site, we usually derive new data from the long term observed data of AWS(Automatic Weather Station) around the wind farm area using mathematical interpolation method. The interpolation method is called MCP(Measure-Correlative-Predict). In this study, based on the MCP Regression Model proposed by us, we estimated the wind energy at Handong site using AEP(Annual Energy Production) from Gujwa AWS data in Jeju. The calculated wind energy at Handong was shown a good agreement between the predicted and the measured results based on the linear regression MCP. Short term AEP was about 7,475MW/year. Long term AEP was about 7,205MW/year. it showed an 3.6% of annual prediction different. It represents difference of 271MW in annual energy production. In comparison with 20years, it shows difference of 5,420MW, and this is about 9 months of energy production. From the results, we found that the proposed linear regression MCP method was very reasonable to estimate the wind resource of wind farm.

• Journal of the Korean Solar Energy Society
• /
• v.29 no.6
• /
• pp.62-68
• /
• 2009

There has been a continuous increase in the utilization and utility value of renewable energy such as wind power generation in modem society. Wind condition is the absolute variable to the energy volume in the case of a wind power generation system. For this reason, wind power generators have already been installed in areas where wind velocity is high and the possibility of danger is very low. In other words, instability is likely if the wind velocity in an area is high and where a wind power generation system can be built. On the contrary, low wind velocity is possible in an area with high stability. Therefore, the design and manufacture of a wind power generation system should be carried out in a more complicated topography in order to secure a bigger market. This study examines and suggest how topography affects wind shear by analyzing the measured data in order to predict wind power generation more reliably.

• 한국태양에너지학회:학술대회논문집
• /
• 2009.11a
• /
• pp.400-403
• /
• 2009

Current wind turbine units that are used primarily 3Blade type devices or large-scale wind-term capacity of 2MW of 60m~90m Blade diameter is applied. This is not the best suitable design with the designing condition for the special quality of wind condition in the South-West Coastal Areas of Korea where the wind speed frequency of average wind speed and over 10m/s high wind velocity is fairly low. For this matter, in this dissertation, the expecting generation amount of electric power is measured excluding a mechanical moment, considering wind power energy traveling to the Blade when 60m~120m blade is applied, based on 2MW wind generator. Also, we would like to propose the Blade diameter which is fitted by wind condition of South-West Coastal Areas of Korea.

• KEPCO Journal on Electric Power and Energy
• /
• v.2 no.4
• /
• pp.631-638
• /
• 2016

Offshore wind power can be an alternative for onshore wind power which suffers from not only civil complaints regarding to landscape damage and noise but also wind power siting due to lack of onshore site candidates. Compared to onshore wind power, offshore wind power is free from these problems considering that generally the sites are far enough from the coast. And more electricity is generated in offshore wind turbines due to abundant offshore wind resources. However high installation costs of offshore turbines could deteriorate the economical efficiency. The main cause of the high installation costs comes from a long-term lease of the heavy marine equipment and the consequential high rental cost. In this paper, the conceptual design of the support structure for offshore wind turbines will be suggested for the installation of them with less heavy marine equipment.

• Solar Energy
• /
• v.10 no.2
• /
• pp.3-9
• /
• 1990

The recent technology of Wind Energy Conversion System(WECS) in the world is well-developed and the feasibility of WECS is better than the past time. So, it is necessary to re-analyze the characteristics of wind energy in this country. This paper deals with the analysis of wind energy distribution in Korean Peninsula, Cheju and Ullung island. The assessment was performed based on the raw data collected 64 meteorological stations for the last 10 years. The wind energy characteristics were analyzed hourly, monthly, seasonally and annually. The Weibull distribution was assumed and two parameters in all areas were calculated and the wind energy potential distribution in Korea was obtained.

• Journal of Korean Society for Geospatial Information Science
• /
• v.21 no.4
• /
• pp.65-71
• /
• 2013

Wind shear means the variation of wind speed according to the height. Wind shear is the important factor affecting the energy production of wind turbines. Power Law is used to extrapolate wind speed data. Normally, a Power Law exponent of 0.143 is used and this is referred to as the 1/7th Power Law. The Power Law exponent is affected by atmospheric stability and surface roughness of the site. Thus, it is necessary to calculate the Power Law exponent of the site exactly for an accurate estimation of wind energy. In this study, wind resources were measured at the three Met-masts which were located in the coastal area of northeastern Jeju Island. The Power Law exponents of the sites were calculated and proposed using measured data. They were 0.141 at Handong, 0.138 at Pyeongdae, and 0.1254 at Udo. We compared annual energy productions which are calculated using a Power Law exponent of 0.143, the proposed value of the Power Law exponents for each site, and the measured data. As a result, the cases of calculating using the proposed values were more similar to the cases using the measured data than the cases using the 0.143 value. Finally, we found that the propsed values of the Power Law exponent are available to more accurately estimate wind resources.

• Journal of Korean Society for Geospatial Information Science
• /
• v.25 no.1
• /
• pp.3-8
• /
• 2017

In this study future wind resource maps have been produced under climate change scenario using ensemble regional climate model weather research and forecasting(WRF) for the period from 2045 to 2054(mid 21st century). Then various spatiotemporal analysis has been conducted in terms of monthly and diurnal. As a result, monthly variation(monsoon circulation) was larger than diurnal variation(land-sea circulation) throughout the South Korea. Strong wind area with high wind power energy was varied on months and regions. During whole years, strong wind with high wind resource was pronounced at cold(warm) months in particular Gangwon mountainous and coastal areas(southwestern coastal area) driven by strong northwesterly(southwesterly). Projected strong and weak wind were presented in January and September, respectively. Diurnal variation were large over inland and mountainous area while coastal area were small. This new monthly and diurnal variation would be useful to high resource area analysis and long-term operation of wind power according to wind variability in future.

• Journal of Korean Society for Geospatial Information Science
• /
• v.23 no.1
• /
• pp.15-22
• /
• 2015

To create a wind resource map, we need a contour map, a roughness map and wind data. We need a land cover map for the roughness map of these data. A land cover map represents the area showing similar characteristics after color indexing based on the scientific method. The features of land cover is classified by Remote sensing technique. In this study, we verified the application of the NDVI technique is reasonable after we created the wind resource map using roughness maps by unsupervised classification and NDVI technique. As a result, the wind resource map using the NDVI technique showed a 60% accordance rate and difference in class less than one. From the results, The NDVI technique is found alternative to create roughness maps by the unsupervised classification.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.584-585
• /
• 2011

우리나라 자가발전 도서 132개 중 10개 도서를 대상으로 디젤발전과 태양광 풍력의 경제성을 비교하였다. 도서별 전력수요 추정과 함께 발전원의 수명기간 동안 총 비용을 총 발전량으로 나눈 균등화발전단가(원/kWh)를 경제성 분석지표로 사용하였다. 도서별 실제 태양광과 풍황 등 자원량을 반영하지는 않았고 태양광 15%, 풍력 21% 이용률을 가정하였다. 그 결과 4개도서가 경제성 확보가 가능한 것으로 분석되었다. 향후 국가 차원의 손실 최소화 방안 및 국가적 편익 비용을 산출함으로서 향후 도서지역 중장기 경제적 전력공급을 위한 도서 전원 구성에 관한 정책적 방향을 제시할 예정이다.

• 한국신재생에너지학회:학술대회논문집
• /
• 2011.05a
• /
• pp.63.1-63.1
• /
• 2011

본 연구에서는 제주 삼달 지역의 Hub 높이에서 측정된 실측 자료와 기상청에서 측정된 AWS 자료 1년(2010년)치를 토대로 Wind-Pro에 적용하여 풍황자원 분석을 하였다. 허브의 실측높이인 삼달지역 관측자료(100m)와 허브 보정값인 기상청 AWS 자료(15m)를 통해 각각의 연간발전량과 단지 효율을 측정하여 비교 분석하였고 실측높이와 보정치를 이용한 값을 적용하여 발전량 및 효율을 산출 비교하고 이를 통해 그 차이점을 분석하고자 한다. 이는 단지분석 시에 발생될 보정값의 불확도를 판단하는데 그 의의가 있다.