• Title/Summary/Keyword: wind direction data analysis

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Error Analysis of Measure-Correlate-Predict Methods for Long-Term Correction of Wind Data

  • Vaas, Franz;Kim, Hyun-Goo;Seo, Hyun-Soo;Kim, Seok-Woo
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.10a
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    • pp.278-281
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    • 2008
  • In these days the installation of wind turbines or wind parks includes a high financial risk. So for the planning and the constructing of wind farms, long-term data of wind speed and wind direction is required. However, in most cases only few data are available at the designated places. Traditional Measure-Correlate-Predict (MCP) can extend this data by using data of nearby meteorological stations. But also Neural Networks can create such long-term predictions. The key issue of this paper is to demonstrate the possibility and the quality of predictions using Neural Networks. Thereto this paper compares the results of different MCP Models and Neural Networks for creating long-term data with various indexes.

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Analysis of Wind Resource on Maldo Island of Kokunsangun-do, Saemangeum (새만금 고군산군도 말도 유역에 대한 바람에너지 분석)

  • Kang, Sangkyun;You, Sungho;Lee, Jang-ho;Pak, Sungsine;Kim, Hyeong-Joo
    • Journal of Wind Energy
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    • v.9 no.4
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    • pp.65-71
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    • 2018
  • To establish an offshore wind turbine test site, a wind resource assessment of the candidate site is required as a preliminary procedure. The wind resource assessment must be performed with at least one year of wind data. If the assessment is performed with short-term wind data, the results cannot validate the wind conditions of the candidate site. This study performs wind resource assessment of Kokunsangun-do to investigate the wind conditions of the candidate site. The wind data is measured by the Automatic Weather System (AWS) of the Korea Meteorological Administration, located at Maldo. The data is for five years, measured from 2013 to 2017. Measured wind data is statistically processed with a 10-minute average scheme to find out the dominant wind direction and wind power density, with yearly wind speed distribution (Weibull-based). This study contributes to build a database of wind energy resources around Maldo. Also, the results of this study could be used for the establishment of an offshore wind turbine test site.

Classification of Wind Sector for Assessment of Wind Resource and Establishment of a Wind Map in South Korea (남한지역 풍력자원 평가 및 바람지도 구축을 위한 바람권역 분류)

  • Jung, Woo-Sik;Lee, Hwa-Woon;Park, Jong-Kil;Kim, Hyun-Goo;Kim, Eun-Byul;Choi, Hyun-Jung;Kim, Dong-Hyuk;Kim, Min-Jung
    • Journal of Environmental Science International
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    • v.18 no.8
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    • pp.899-910
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    • 2009
  • We classified wind sectors according to the wind features in South Korea. In order to get the information of wind speed and wind direction, we used and improved on the atmospheric numerical model. We made use of detailed topographical data such as terrain height data of an interval of 3 seconds and landuse data produced at ministry of environment, Republic of Korea. The result of simulated wind field was improved. We carried out the cluster analysis to classify the wind sectors using the K-means clustering. South Korea was classified as 8 wind sectors to the annual wind field.

Site Calibration for the Wind Turbine Performance Evaluation

  • Nam, Yoon-Su;Yoo, Neung-Soo;Lee, Jung-Wan
    • Journal of Mechanical Science and Technology
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    • v.18 no.12
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    • pp.2250-2257
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    • 2004
  • The accurate wind speed information at the hub height of a wind turbine is very essential to the exact estimation of the wind turbine power performance testing. Several methods on the site calibration, which is a technique to estimate the wind speed at the wind turbine's hub height based on the measured wind data using a reference meteorological mast, are introduced. A site calibration result and the wind resource assessment for the TaeKwanRyung test site are presented using three-month wind data from a reference meteorological mast and the other mast temporarily installed at the site of wind turbine. Besides, an analysis on the uncertainty allocation for the wind speed correction using site calibration is performed.

COMBINED ACTIVE AND PASSIVE REMOTE SENSING OF HURRICANE OCEAN WINDS

  • Yueh, Simon H.
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.142-145
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    • 2006
  • The synergism of active and passive microwave techniques for hurricane ocean wind remote sensing is explored. We performed the analysis of Windsat data for Atlantic hurricanes in 2003-2005. The polarimetric third Stokes parameter observations from the Windsat 10, 18 and 37 GHz channels were collocated with the ocean surface winds from the Holland wind model, the NOAA HWind wind vectors and the Global Data Assimilation System (GDAS) operated by the National Center for Environmental Prediction (NCEP). The collocated data were binned as a function of wind speed and wind direction, and were expanded by sinusoidal series of the relative azimuth angles between wind and observation directions. The coefficients of the sinusoidal series, corrected for atmospheric attenuation, have been used to develop an empirical geophysical model function (GMF). The Windsat GMF for extreme high wind compares very well with the aircraft radiometer and radar measurements.

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Sensitivity Analysis of the Atmospheric Dispersion Modeling through the Condition of Input Variable (입력변수의 조건에 따른 대기확산모델의 민감도 분석)

  • Chung Jin-Do;Kim Jang-Woo;Kim Jung-Tae
    • Journal of Environmental Science International
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    • v.14 no.9
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    • pp.851-860
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    • 2005
  • In order to how well predict ISCST3(lndustrial Source Complex Short Term version 3) model dispersion of air pollutant at point source, sensitivity was analysed necessary parameters change. ISCST3 model is Gaussian plume model. Model calculation was performed with change of the wind speed, atmospheric stability and mixing height while the wind direction and ambient temperature are fixed. Fixed factors are wind direction as the south wind(l80") and temperature as 298 K(25 "C). Model's sensitivity is analyzed as wind speed, atmospheric stability and mixing height change. Data of stack are input by inner diameter of 2m, stack height of 30m, emission temperature of 40 "C, outlet velocity of 10m/s. On the whole, main factor which affects in atmospheric dispersion is wind speed and atmospheric stability at ISCST3 model. However it is effect of atmospheric stability rather than effect of distance downwind. Factor that exert big influence in determining point of maximum concentration is wind speed. Meanwhile, influence of mixing height is a little or almost not.

CORRELATION ANALYSIS METHOD OF SENSOR DATA FOR PREDICTING THE FOREST FIRE

  • Shon Ho Sun;Chi Jeong Hee;Kim Eun Hee;Ryu Keun Ho;Jung Doo Yeong;kim Kyung Ok
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.186-188
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    • 2005
  • Because forest fire changes the direction according to the environmental elements, it is difficult to predict the direction of it. Currently, though some researchers have been studied to which predict the forest fire occurrence and the direction of it, using the remote detection technique, it is not enough and efficient. And recently because of the development of the sensor technique, a lot of In-Situ sensors are being developed. These kinds of In-Situ sensor data are used to collect the environmental elements such as temperature, humidity, and the velocity of the wind. Accordingly we need the prediction technique about the environmental elements analysis and the direction of the forest fire, using the In-Situ sensor data. In this paper, as a technique for predicting the direction of the forest fire, we propose the correlation analysis technique about In-Situ sensor data such as temperature, humidity, the velocity of the wind. The proposed technique is based on the clustering method and clusters the In-Situ sensor data. And then it analyzes the correlation of the multivariate correlations among clusters. These kinds of prediction information not only helps to predict the direction of the forest fire, but also finds the solution after predicting the environmental elements of the forest fire. Accordingly, this technique is expected to reduce the damage by the forest fire which occurs frequently these days.

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A Study of Atmospheric Field around the Pohang for Dispersion Analysis of Air Pollutants -Numerical Simulation of Wind Field- (대기오염 확산 해석을 위한 포항지역 기상장 연구 -바람장 수치모의-)

  • 이화운;정우식;김현구;이순환
    • Journal of Korean Society for Atmospheric Environment
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    • v.20 no.1
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    • pp.1-15
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    • 2004
  • Sea/land circulation system is a representative mesoscale local circulation system in coastal area. In this study, wind fields around coastal area. Pohang, which is affected by this system was investigated and its detailed characteristic analysis was carried out. The following can be found out from the numerical simulation. Generally, at nighttime mountain winds prevail and land breeze toward the coastal area was well simulated During daytime, valley wind and sea breeze was simulated in detail. Especially, as a result of analyzing the land breeze path, it could be found along the coastline as it flows out through low land coastal area. In order to investigate the accuracy of model results. wind speed, temperature and wind direction of continuous typical sea/land breeze occurrence day was compared with observation data. Analyzing the characteristics of local circulation system was very hard because of horizontally sparse observation data but from the above result, a numerical simulation using RAMS, which satisfies the spatial high resolution, will provide more accurate results.

Wind characteristics of a strong typhoon in marine surface boundary layer

  • Song, Lili;Li, Q.S.;Chen, Wenchao;Qin, Peng;Huang, Haohui;He, Y.C.
    • Wind and Structures
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    • v.15 no.1
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    • pp.1-15
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    • 2012
  • High-resolution wind data were acquired from a 100-m high offshore tower during the passage of Typhoon Hagupit in September, 2008. The meteorological tower was equipped with an ultrasonic anemometer and a number of cup anemometers at heights between 10 and 100 m. Wind characteristics of the strong typhoon, such as mean wind speed and wind direction, turbulence intensity, turbulence integral length scale, gust factor and power spectra of wind velocity, vertical profiles of mean wind speed were investigated in detail based on the wind data recorded during the strong typhoon. The measured results revealed that the wind characteristics in different stages during the typhoon varied remarkably. Through comparison with non-typhoon wind measurements, the phenomena of enhanced levels of turbulence intensity, gust factors, turbulence integral length scale and spectral magnitudes in typhoon boundary layer were observed. The monitored data and analysis results are expected to be useful for the wind-resistant design of offshore structures and buildings on seashores in typhoon-prone regions.

Research on optimal cost calculation for efficient maintenance of offshore wind farms (해상풍력단지의 효율적인 유지보수를 위한 최적 비용 산출 연구)

  • Hui-Seok Gu;In-Cheol Kim;Man-Bok Kim;Man-Soo Choi
    • Journal of Wind Energy
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    • v.14 no.3
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    • pp.61-68
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    • 2023
  • This paper aims to perform optimal operation and maintenance with an integrated monitoring system for offshore wind platforms. Based on the wind direction and wind speed data of existing wind farms, a monitoring system was established along with weather and weather data to maximize the operational efficiency of wind farms. Compared to wind power on land, offshore wind power is difficult to maintain due to weather, logistics and geographical limitations. Therefore, economic analysis of actual operation and maintenance is essential for large-scale offshore wind farms. In this paper, the availability of offshore wind farms was analyzed by using personnel resources, parts inventory, Crew Transfer Vessel (CTV) and Specialized service Operation Vessel (SOV) etc. before the actual operation and maintenance of wind farms. A comparative analysis was conducted to determine the optimum operating efficiency and economical maintenance costs.