• Title/Summary/Keyword: Wind prediction

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Evaluation on bridge dynamic properties and VIV performance based on wind tunnel test and field measurement

  • Yang, Yongxin;Ma, Tingting;Ge, Yaojun
    • Wind and Structures
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    • v.20 no.6
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    • pp.719-737
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    • 2015
  • Full scale measurement on the structural dynamic characteristics and Vortex-induced Vibrations (VIV) of a long-span suspension bridge with a central span of 1650 m were conducted. Different Finite Element (FE) modeling principles for the separated twin-box girder were compared and evaluated with the field vibration test results, and the double-spine model was determined to be the best simulation model, but certain modification still needs to be made which will affect the basic modeling parameters and the dynamic response prediction values of corresponding wind tunnel tests. Based on the FE modal analysis results, small-scaled and large-scaled sectional model tests were both carried out to investigate the VIV responses, and probable Reynolds Number effects or scale effect on VIV responses were presented. Based on the observed VIV modes in the field measurement, the VIV results obtained from sectional model tests were converted into those of the three-dimensional (3D) full-scale bridge and subsequently compared with field measurement results. It is indicated that the large-scaled sectional model test can probably provide a reasonable and effective prediction on VIV response.

Predicting Double-Blade Vertical Axis Wind Turbine Performance by a Quadruple-Multiple Streamtube Model

  • Hara, Yutaka;Kawamura, Takafumi;Akimoto, Hiromichi;Tanaka, Kenji;Nakamura, Takuju;Mizumukai, Kentaro
    • International Journal of Fluid Machinery and Systems
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    • v.7 no.1
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    • pp.16-27
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    • 2014
  • Double-blade vertical axis wind turbines (DB-VAWTs) can improve the self-starting performance of lift-driven VAWTs. We here propose the quadruple-multiple streamtube model (QMS), based on the blade element momentum (BEM) theory, for simulating DB-VAWT performance. Model validity is investigated by comparison to computational fluid dynamics (CFD) prediction for two kinds of two-dimensional DB-VAWT rotors for two rotor scales with three inner-outer radius ratios: 0.25, 0.5, and 0.75. The BEM-QMS model does not consider the effects of an inner rotor on the flow speed in the upwind half of the rotor, so we introduce a correction factor for this flow speed. The maximum power coefficient predicted by the modified BEM-QMS model for a DB-VAWT is thus closer to the CFD prediction.

Software Development to Predict the Power Characteristics of a Horizontal Axis Wind Turbine Rotor (수평축 풍력발전용 로터 성능해석 프로그램 개발)

  • Kim, Beom-Seok;Nam, Chung-Do;Kim, You-Taek;Kim, Jin-Gu;Lee, Young-Ho
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2005.11a
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    • pp.168-169
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    • 2005
  • The optimum design and the performance analysis software called POSEIDON for the HAWT (Horizontal Axis Wind Turbine) was developed by use of BEMT. The Prandtl's tip loss theory was adopted to consider the blade tip loss. The lift and the drag coefficient of S-809 airfoil were predicted via X-FOIL and also the post stall characteristics of S-809 were estimated by the Viterna's equations. All the predicted aerodynamic characteristics are fairly well agreed with the wind tunnel test results, performed by Sommers in Delft university of technology. The rated power of the testing rotor is 20kW(FIL-20) at design conditions. The experimental aerodynamic parameters and the X-FOIL data were used for the power prediction of the FIL-20 respectively. The comparison results shows good agreement in power prediction.

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Investigation of Goyang Tornado Outbreak Using X-band Polarimetric Radar: 10 June 2014 (X밴드 이중편파레이더를 활용한 고양 토네이도 발생 사례 분석: 2014년 6월 10일)

  • Jeong, Jong-Hoon;Kim, Yeon-Hee;Oh, Su-Bin;Lim, Eunha;Joo, Sangwon
    • Atmosphere
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    • v.26 no.1
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    • pp.47-58
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    • 2016
  • On 10 July 2014, tornado outbreak occurred over Goyang province in Korea. This was the first supercell tornado ever reported or documented in Korea. The characteristics of the supercell tornado were investigated using an X-band polarimetric radar, surface meteorological observation, wind profiler, and operational numerical weather prediction (Regional Data Assimilation and Prediction System, RDAPS). The supercell tornado developed along a preexisting dryline that was contributed to surface wind shear. The radar analyses examined here show that the supercell tornado indicated a hook echo with mesocyclone. The decending reflectivity core as well was detected before tornadogenesis and prior to intensification of supercell. The supercell tornado exhibited characteristics similar to typical supercell tornado over the Great Plains of the United States, such as hook echo, bounded weak echo region, and slower movement speed relative to the mean wind. Compared to the typical supercell tornado over U.S., this tornado showed horizontal scale of the mesocyclone was relatively smaller and left-mover.

A Study on Fire Spreading Prediction Program by Flow Field Analysis (유동장(流動場) 해석(解析)을 통한 산불확산예측(擴散豫測) 프로그램의 개발(開發))

  • Kim, Eng-Sik;Lee, Si-Young;Lim, Hoe-Jie;Kim, Hong;Song, Jong-Hun;Kim, Soo-Young
    • Journal of Korean Society of Forest Science
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    • v.87 no.4
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    • pp.528-534
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    • 1998
  • There are many parameters in prediction of forest fire spread. Among others wind and slope factors are considered to be the important parameters in spread of forest fire. Generally, all the inclined planes with same slopes can not have the same wind velocity in complex mountain area. But this effect has been disregarded in complex geometry. In this paper, wind values which have velocity and direction is calculated by applying computational fluid dynamics to the forest geometry. These results are applied for forest fire spreading algorithm with experimental Korean ROS(Rate Of Spread). Finally, the comparison between the simulation and the real forest fire has correspondence about 90%.

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Regression Analysis Between Climate Conditions and Contaminants for Development of Prediction Method of the Salt Pollution (염해 오손도 예측기법 개발을 위한 오손물과 기후 인자와의 상관관계 분석)

  • Kim, D.Y.;Kim, J.H.;Lee, W.Y.;Han, S.O.;Park, K.S.
    • Proceedings of the KIEE Conference
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    • 2004.05b
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    • pp.173-175
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    • 2004
  • The degree of contamination on outdoor insulators is one of the most importance factor to determine the pollution level of outdoor insulation. Outdoor insulators in coastal are affected due to salty wind blowing from the seaside. The sea salt is known as the most dangerous pollutant. As known through the preceding study, the generation of salt pollutant and the pollution degree of outdoor insulators have a close relation in accordance with meteorological conditions, such as temperature, humidity, dewpoint, wind velocity and wind direction. Therefore, at first, we have analyzed relation between meteorological conditions and contaminants for development of prediction method. In this paper, we have investigated a statistical estimation technique based on actual data for equivalent salt deposit density(ESDD) of outdoor insulators which were installed in Kochang field test substation with multiple linear regression analysis.

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Prediction of Aerodynamic Characteristics of the Grid Fins using Low/High Fidelity Methods (저/고 충실도 기법을 이용한 그리드핀 공력 특성 예측)

  • Ki-Hoon Hur;Hyunjae Nam;Kyungjin Lim;Yeongbin Lee
    • Journal of the Korea Institute of Military Science and Technology
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    • v.26 no.2
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    • pp.149-158
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    • 2023
  • To predict the aerodynamic characteristics of the grid fins from subsonic to supersonic speeds, low fidelity SW as well as CFD SW were applied. VLM(Vortex Lattice Method) and SE(Shock-Expansion) method were used at subsonic and supersonic speed domain respectively for the rapid prediction of low fidelity SW. For 2 configurations of the grid fins, the CFD computations and tests using the trisonic wind tunnel were also performed to compare the results of the grid fins. The results of low fidelity SW, CFD SW and the wind tunnel tests data were agreed well each other. Through further research on the grid fins, the effective parameters of the grid fin configurations according to the speed regime will be investigated.

Forecasting of Short Term Photovoltaic Generation by Various Input Model in Supervised Learning (지도학습에서 다양한 입력 모델에 의한 초단기 태양광 발전 예측)

  • Jang, Jin-Hyuk;Shin, Dong-Ha;Kim, Chang-Bok
    • Journal of Advanced Navigation Technology
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    • v.22 no.5
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    • pp.478-484
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    • 2018
  • This study predicts solar radiation, solar radiation, and solar power generation using hourly weather data such as temperature, precipitation, wind direction, wind speed, humidity, cloudiness, sunshine and solar radiation. I/O pattern in supervised learning is the most important factor in prediction, but it must be determined by repeated experiments because humans have to decide. This study proposed four input and output patterns for solar and sunrise prediction. In addition, we predicted solar power generation using the predicted solar and solar radiation data and power generation data of Youngam solar power plant in Jeollanamdo. As a experiment result, the model 4 showed the best prediction results in the sunshine and solar radiation prediction, and the RMSE of sunshine was 1.5 times and the sunshine RMSE was 3 times less than that of model 1. As a experiment result of solar power generation prediction, the best prediction result was obtained for model 4 as well as sunshine and solar radiation, and the RMSE was reduced by 2.7 times less than that of model 1.

Prospects of Cumulative Installed Power Capacity of Domestic Offshore Wind Projects for K-RE100 (K-RE100 이행에 필요한 국내해상풍력단지 누적 설치량 전망 연구)

  • Hong Goo Kang;Byung Ha Kim;Hun Jo Kim;Chang Jo Yang;Hae Chang Jeong
    • New & Renewable Energy
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    • v.20 no.2
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    • pp.44-54
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    • 2024
  • The objective of this study was to contribute to domestic offshore wind farms by reasonably predicting the expected completion time and installed power generation capacity of offshore wind projects in South Korea. Offshore wind power is drastically regarded as a core tool for clean energy transition and industrial decarbonization in the fight against the climate crisis globally. Especially in South Korea offshore wind power is the main tool in partaking in RE100 and K-RE100, and the Korean government aims to install 14.9 GW of offshore wind farms by 2030. However, this seems to have been significantly delayed due to the complex process of obtaining permits for offshore wind power in Korea. Thus, a reasonable prediction of power generation and a timeline for the final construction are imperative. To establish the delay time for permit licenses, classified location factors were included into site analysis. These factors comprised reviews of transmission and military operability, environmental impact assessment, maritime traffic safety examination, wind resource assessment and an analysis of current offshore wind projects. According to the analysis, the majority of offshore wind projects currently being developed in Korea are predicted to be delayed by 3-5 years as they are among the criteria included in key discussion points for obtaining permits. The cumulative installed power capacity and annual power generation after construction are expected to be 37 GW and 97 TWh respectively.

Study on Prediction for Prompt Countermeasures to Oil Spread in Ocean (해안기름유출사고에 의한 기름확산 예측 방법 연구)

  • Kim, Young-Bok
    • Journal of Ocean Engineering and Technology
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    • v.25 no.2
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    • pp.108-112
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    • 2011
  • When oil spills occur in the ocean because of a ship collision or grounding, the oil in the sea will spread to the coastline. To effectively and promptly prevent such an oil spread, the prediction of the direction and speed of the spreading oil must be made. By applying the coastal wave diffusion theory with a consideration of the effects of wind and current, the oil spreading direction and speed can be predicted promptly so that the National Disaster Prevention System can effectively and promptly take countermeasures against the attack and contamination of the coastline by such oil bands.