• Title/Summary/Keyword: Wind Map

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Wind Resource Assessment for Green Island - Dokdo (녹색섬 풍력자원평가 - 독도)

  • Kim, Hyun-Goo;Kim, Keon-Hoon;Kang, Young-Heaok
    • Journal of the Korean Solar Energy Society
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    • v.32 no.5
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    • pp.94-101
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    • 2012
  • A Dokdo wind resource map has been drawn up for the Green Island Energy Master Plan according to Korea's national vision for 'Low Carbon Green Growth'. The micro-siting software WindSim v5.1,which is based on Computational Flow Analysis, is used with MERRA reanalysis data as synoptic climatology input data, and sensitivity analysis on turbulence model is accompanied. A wind resource assessment has been conducted for the Dokdo wind power dissemination plan, which consists of two 10kW wind turbines to be installed at the Dongdo dock and Dokdo guard building. It is evaluated that the capacity factors at Dongdo dock and Dokdo guard building are about 20% and 30% respectively, and annual and hourly variations of wind power generation have been analyzed, but summertime energy production is predicted to be only 40% of wintertime energy production.

The spatial-temporal characteristics for wind power resources on the Korean Peninsula (한반도 풍력자원의 시공간적 특성 분석)

  • Lee, Hwa-Woon;Kim, Min-Jung;Kim, Dong-Hyeuk;Kim, Hyun-Goo;Lee, Soon-Hwan
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.331-332
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    • 2008
  • Wind energy issued as most spotlight general energy by excellence of actuality as well as economical efficiency, solving environmental problem which caused by creating the energy and possibility of eternal production. Accordingly, government is at the stage of corresponding level by requesting development of new technology to the developed countries as a part of national key industries. The grievous situation from such a rapid movement is meteorological comprehension and assessment as well as the problem of estimation exactness about the wind. In this study, we use the regional meteorological station data, automatic weather station data and QuikSCAT SeaWinds data.

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Review on Wind Mapping Service of Wind Resource Consulting Companies (해외 풍력자원 컨설팅사의 바람지도 서비스 분석)

  • Kim, Hyun-Goo;Hwang, Hyo-Jung
    • New & Renewable Energy
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    • v.6 no.2
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    • pp.12-18
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    • 2010
  • This paper reviews commercial wind mapping services provided by the oversea consulting companies, AL-PRO and anemos in Germany, AWS Truepower and 3TIER in USA. They provide quick-to-use but essential dataset for a preliminary assessment before commencing an actual feasibility study for wind farm development. Details of wind mapping method, mapresolution, data extraction height, price and so forth are compared and fresh service contents such as site analysis report are drawn from the comparison. Despite its public service, the objective value of the Renewable Energy Resource Map System of Korea Instistute of Energy Research is also confirmed and it is anticipated that the drawn new content idea will be ported to the system to enrich its applicability.

Analysis of Sea Surface Wind over the Complex Coastal Area Using SAR images (SAR영상에 의한 복잡해안지역 해상풍 분석)

  • Hwang, Hyo-Jung;Kim, Hyun-Goo
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.11a
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    • pp.482-483
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    • 2009
  • This paper is foundation paper about national wind map verification using remote sensing, based on analysis of comparison between numerical simulation and remote sensing on complex coastal area of regional coast. As a result analysis using NCAR/NCEP, wind direction of numerical simulation and remote sensing is same. but, wind direction of some case is showed different. Such as this result, if it would be used without verification of analyzed data, present ability of occurring lots of error, and it will be verified based on using survey data or atmospheric data.

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Wind Speed Prediction in Complex Terrain Using a Commercial CFD Code (상용 CFD 프로그램을 이용한 복잡지형에서의 풍속 예측)

  • Woo, Jae-Kyoon;Kim, Hyeon-Gi;Paek, In-Su;Yoo, Neung-Soo;Nam, Yoon-Su
    • Journal of the Korean Solar Energy Society
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    • v.31 no.6
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    • pp.8-22
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    • 2011
  • Investigations on modeling methods of a CFD wind resource prediction program, WindSim for a ccurate predictions of wind speeds were performed with the field measurements. Meteorological Masts having heights of 40m and 50m were installed at two different sites in complex terrain. The wind speeds and direction were monitored from sensors installed on the masts and recorded for one year. Modeling parameters of WindSim input variables for accurate predictions of wind speeds were investigated by performing cross predictions of wind speeds at the masts using the measured data. Four parameters that most affect the wind speed prediction in WindSim including the size of a topographical map, cell sizes in x and y direction, height distribution factors, and the roughness lengths were studied to find out more suitable input parameters for better wind speed predictions. The parameters were then applied to WindSim to predict the wind speed of another location in complex terrain in Korea for validation. The predicted annual wind speeds were compared with the averaged measured data for one year from meteorological masts installed for this study, and the errors were within 6.9%. The results of the proposed practical study are believed to be very useful to give guidelines to wind engineers for more accurate prediction results and time-saving in predicting wind speed of complex terrain that will be used to predict annual energy production of a virtual wind farm in complex terrain.

Patent map for wind turbine component (풍력발전기 요소기술의 특허맵 분석)

  • Shin, Hyun-Ki;Jang, Moon-Seok;Bang, Hyung-Joon;Kim, Yong-Ki;Lee, Yu-Mi
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.297-299
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    • 2008
  • 기술 개발과 산업화에 있어 현대 사회에서는 특허의 중요성이 점점 커지고 있다. 이 점은 풍력발전기 분야에서 역시 예외가 아니다. 따라서 기술 개발 이전에 해당 기술 분야에 대해 특허를 조사하고 특허맵을 구축하는 것이 필요하다. 또한 특허맵의 구축을 통하여 풍력 발전기 분야의 기술 개발 동향 및 경쟁 업체의 기술 개발 현황 등에 대하여 파악이 가능하다. 본 논문에서는 풍력발전기의 레이아웃과 드라이브 트레인, 그리고 요 시스템에 대하여 해당 특허에 대한 조사 및 특허맵에 대하여 이야기 하고자 한다.

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UAV-based bridge crack discovery via deep learning and tensor voting

  • Xiong Peng;Bingxu Duan;Kun Zhou;Xingu Zhong;Qianxi Li;Chao Zhao
    • Smart Structures and Systems
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    • v.33 no.2
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    • pp.105-118
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    • 2024
  • In order to realize tiny bridge crack discovery by UAV-based machine vision, a novel method combining deep learning and tensor voting is proposed. Firstly, the grid images of crack are detected and descripted based on SE-ResNet50 to generate feature points. Then, the probability significance map of crack image is calculated by tensor voting with feature points, which can define the direction and region of crack. Further, the crack detection anchor box is formed by non-maximum suppression from the probability significance map, which can improve the robustness of tiny crack detection. Finally, a case study is carried out to demonstrate the effectiveness of the proposed method in the Xiangjiang-River bridge inspection. Compared with the original tensor voting algorithm, the proposed method has higher accuracy in the situation of only 1-2 pixels width crack and the existence of edge blur, crack discontinuity, which is suitable for UAV-based bridge crack discovery.

Effect of Maritime Traffic Control Radar Interference by a small number of Wind Turbines (소수의 풍력발전기에 의한 해상관제 레이더 간섭 영향)

  • Oh, Seongwon;Park, Tae-Yong
    • Journal of Advanced Navigation Technology
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    • v.25 no.3
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    • pp.236-241
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    • 2021
  • This paper presents a methodology to analyze the interference of maritime traffic control radar by wind turbines installed in the sea, and the interference result of the maritime traffic control radars by a small number of wind turbines installed in sea near Gunsan port (Gunsan vessel traffic services). A ray based electromagnetic analysis software is used to analyze the interference. The geographic information system map containing altitude data, drawing of wind turbines, and sea with waves are imported to the software to analyze the effect of the terrain and the wind turbines. According to the analysis, a small number of wind turbines, not large scale wind farms, has no severe impact on the operation of the radar.

prEN 1991-1-4:2021: the draft Second Generation Eurocode on wind actions on structures - A personal view

  • Francesco Ricciardelli
    • Wind and Structures
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    • v.37 no.2
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    • pp.79-94
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    • 2023
  • This paper traces the drafting of the new EN 1991-1-4 Eurocode 1 - Actions on structures - Part 1-4: General actions - Wind actions within Mandate M/515 of the European Commission to CEN, for the evolution of structural Eurocodes towards their Second Generation. Work of the Project Team started in August 2017 and ended in April 2020, with delivery of a final draft for public enquiry. The revised document contains several modifications with respect to the existing 2005 version, and new sections were added, covering aspect not dealt with in the previous version. It has a renovated structure, with a main text limited in size and containing only fundamental material; all the remaining information, either normative or informative is arranged into thirteen annexes. Common to other Eurocode Parts, general requests from CEN were those of reducing the number of Nationally Determined Parameters and of enhancing the ease of use. More specific requests were those of (a) the drafting of a European design wind map, (b) improving wind models, (c) reviewing force and pressure coefficients, (d) reviewing the procedures for evaluation of the dynamic response, as well as (e) making editorial improvements aimed at a more user friendly document. The author had the privilege to serve as Project Team member for the drafting of the new document, and this paper brings his personal view concerning some general aspects of wind code writing, and some more specific aspects about the particular document.

Pattern Recognition of Meteorological fields Using Self-Organizing Map (SOM)

  • Nishiyama Koji;Endo Shinichi;Jinno Kenji
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.9-18
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    • 2005
  • In order to systematically and visually understand well-known but qualitative and rotatively complicated relationships between synoptic fields in the BAIU season and heavy rainfall events in Japan, these synoptic fields were classified using the Self-Organizing Map (SOM) algorithm. This algorithm can convert complex nonlinear features into simple two-dimensional relationships, and was followed by the application of the clustering techniques of the U-matrix and the K-means. It was assumed that the meteorological field patterns be simply expressed by the spatial distribution of wind components at the 850 hPa level and Precipitable Water (PW) in the southwestern area including Kyushu in Japan. Consequently, the synoptic fields could be divided into eight kinds of patterns (clusters). One of the clusters has the notable spatial feature represented by high PW accompanied by strong wind components known as Low-Level Jet (LLJ). The features of this cluster indicate a typical meteorological field pattern that frequently causes disastrous heavy rainfall in Kyushu in the rainy season. From these results, the SOM technique may be an effective tool for the classification of complicated non-linear synoptic fields.

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