• Title/Summary/Keyword: Wind Energy Resource

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Evaluation of Implementation Potential of Offshore Wind Farm Capacity in Korea Using National Wind Map and Commercial Wind Farm Design Tool (국가바람지도와 상용 단지설계 프로그램을 활용한 국내 해상풍력단지 공급가능 잠재량 산정)

  • Song, Yuan;Kim, Chanjong;Paek, Insu;Kim, Hyungoo
    • Journal of the Korean Solar Energy Society
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    • v.36 no.4
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    • pp.21-29
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    • 2016
  • Commercial wind farm design tools and the national wind map are used to determine the implementation potential of offshore wind power in Korea in this study. For this, the territorial waters of Korea were divided into nine analysis regions and a commercial CFD code was used to obtain wind resource maps at 100m A.S.L. which is the hub height of a 5MW wind turbine used in this study. With the wind resource obtained, factors including water depth, distance from substations, minimum and maximum capacity of a wind farm, distance between turbines and wind farms were considered to determine wind power potential. Also, the conservation areas, military zones, ports, fishing grounds, etc. were considered and excluded. As the result, a total capacity of 6,720 MW was found to be the implementation potential and this corresponds to $3.38MW/km^2$ in API. Also if the distance from the substation is not considered, the potential increased to be 10,040 MW. This offshore wind farm potential is considered enough to satisfy the target of wind farm capacities in the 7th national plan for electricity demand and supply.

Review of Wind Energy Publications in Korea Citation Index using Latent Dirichlet Allocation (잠재디리클레할당을 이용한 한국학술지인용색인의 풍력에너지 문헌검토)

  • Kim, Hyun-Goo;Lee, Jehyun;Oh, Myeongchan
    • New & Renewable Energy
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    • v.16 no.4
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    • pp.33-40
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    • 2020
  • The research topics of more than 1,900 wind energy papers registered in the Korean Journal Citation Index (KCI) were modeled into 25 topics using latent directory allocation (LDA), and their consistency was cross-validated through principal component analysis (PCA) of the document word matrix. Key research topics in the wind energy field were identified as "offshore, wind farm," "blade, design," "generator, voltage, control," 'dynamic, load, noise," and "performance test." As a new method to determine the similarity between research topics in journals, a systematic evaluation method was proposed to analyze the correlation between topics by constructing a journal-topic matrix (JTM) and clustering them based on topic similarity between journals. By evaluating 24 journals that published more than 20 wind energy papers, it was confirmed that they were classified into meaningful clusters of mechanical engineering, electrical engineering, marine engineering, and renewable energy. It is expected that the proposed systematic method can be applied to the evaluation of the specificity of subsequent journals.

Comparative Analysis of Commercial Softwares for Wind Climate Data Analysis (풍력자원 계측자료 분석용 상용 소프트웨어 비교분석)

  • Kim, Hyun-Goo
    • New & Renewable Energy
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    • v.6 no.2
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    • pp.5-11
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    • 2010
  • This paper reviews three commercial softwares for wind climate data analysis in wind resource assessment; WAsP/Observed Wind Climate, WindRose and Windographer. Windographer is evaluated as the best software because of its variety of input data format, analysis functions, easiness of user interface, etc. For a quantitative understanding of uncertainty depending on software selection, a benchmark is carried out with the met-mast observation dataset at the Gimnyeong Wind Turbine Performance Test Site. It is found that Weibull parameter calculation and air density correction have a dependency on the software so that such uncertainty should be considered when an analysis software is selected. It is confirmed that annual energy production calculated by WAsP using a statistical table of frequency of occurrence may have some error compared to a time-series calculation method used by the other softwares.

Analysis on Siting Strategy for Offshore Wind Farm Based on National Wind Map and GIS (국가바람지도 및 지리정보시스템 기반의 해상풍력단지 입지전략 연구)

  • Kim, Hyun-Goo;Song, Kyu-Bong;Hwang, Sun-Young;Yun, Jin-Ho;Hwang, Hyo-Jeong
    • Journal of Environmental Science International
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    • v.18 no.8
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    • pp.877-883
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    • 2009
  • This study has analyzed the scale, location, resource potential and feasibility of offshore wind farm scientifically and systematically based on the national wind map and GIS. For long-term wind power development, this study pursues siting strategy building, selection of target area and deciding development priority as well as the presenting a basis for assessment that are necessary for policy decision making by making theme layers under GIS environment. According to the analysis after organizing technological development by stages, even if only the most suitable sites are developed among the area of offshore wind farm candidates that can be developed under the current technological standard, it has been evaluated as being able to develop about 3 times of the wind power dissemination target until 2012. It is expected that about 5% of territorial water area can be developed in a short-term future while the southern offshore area possessing relatively favorable wind resource than the western offshore has been identified as the most feasible site. While about 23% of territorial water area has been classified as potential area for offshore wind farm development in a long-term future, even Jeju Island and offshore of Ulsan possessing excellent wind resource have been analyzed as feasible sites. The feasibility assessment of offshore wind lam development established by this study is expected to assist national strategy building for accomplishing the wind power dissemination target.

The Properties of Wind Analyzed by Observation of Tethered Sonde and Sodar in Gwangyang Coastal Area (Tethered Sonde와 Sodar 관측으로 분석한 광양만 지역의 풍환경 특성)

  • Lee, Hwa-Woon;Park, Soon-Young;Lim, Heon-Ho;Kim, Dong-Hyuk;Kim, Min-Jung
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.324-326
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    • 2008
  • When we urgently need to develop and supply an alternative energy, wind power is growing with much interest because it has relative low cost of power and area of tower. To estimate the wind power resource, it is necessary to make an wind resource map first. On the study of wind resource map in the Korean peninsula, Southern coast was needed to investigate the possibility of developing wind power complex because of good wind resources. In this study, we made a vertical observation to analyze the properties of wind in coastal area. From tethered sonde observation, we knew that synoptic effect had an influence higher in second day than first day. This means local wind circulation is generated on first day but not second day. The local wind made vertical wind shear strong in first day. Also, there was large difference of wind speed between layers at night time by analysis of SODAR observation.

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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.

A Refinement of WAsP Prediction in a Complex Terrain (복잡지형에서의 WAsP 예측성 향상 연구)

  • Kyong, Nam-Ho;Yoon, Jeong-Eun;Jang, Moon-Seok;Jang, Dong-Soon;Huh, Jong-Chul
    • Journal of the Korean Solar Energy Society
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    • v.23 no.4
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    • pp.21-27
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    • 2003
  • The comparative performance of the WAsP in calculating the wind climate in complex terrain has been examined in order to test the predictability of the wind resource assessment computer code in our country. An analysis was carried out of predicted and experimental 10-min averaged wind data collected over 8 months at four monitoring sites in SongDang province, Jeju island, composed of sea, inland flat terrain, a high and a low slope craters. The comparisons show that the WAsP preditions give better agreement with experimental data by adjusting the roughness descriptions, the obstacle list.

Estimation of Annual Energy Production Based on Regression Measure-Correlative-Predict at Handong, the Northeastern Jeju Island (제주도 북동부 한동지역의 MCP 회귀모델식을 적용한 AEP계산에 대한 연구)

  • Ko, Jung-Woo;Moon, Seo-Jeong;Lee, Byung-Gul
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.18 no.6
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    • pp.545-550
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    • 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.

The Study on the Mapping of Wind Resource using Moving Filter Technique at Udo, Jeju Island (무빙필터 기법을 적용한 제주 우도지역의 풍력자원지도 작성에 대한 연구)

  • Moon, Seo Jeong;Ko, Jung Woo;Lee, Byung Gul
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.4
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    • pp.29-36
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    • 2012
  • In order to create a wind resource map, we need wind data, contour map and roughness map. Moving Filter technique was applied to Udo of Jeju Island to improve the accuracy and efficiency of creating roughness map based on the Land Cover Map of the Ministry of Environment. The Land Cover Map was simplified using moving filtering, and the roughness map was created with this Land Cover Map. The wind resource map was created using this roughness map. Finally, we verified the validity and application of moving filter technique for wind resource map. As a result, the wind map which was created using the roughness map with moving filtering showed bias values which were all negative. It means the wind map is underestimated to values of wind energy and RMSE values were also from 0.0237m/s to 0.0253m/s at 50m height. In other words, estimation of wind resource using image filtering provides reliable results at 80m height typically when the wind turbine is installed. Finally, we found that image filtering technique is very useful tool to make wind resource map.

Comparative Validation of WindCube LIDAR and Scintec SODAR for Wind Resource Assessment - Remote Sensing Campaign at Jamsil (풍력자원평가용 윈드큐브 라이다와 씬텍 소다의 비교.검증 - 잠실 원격탐사 캠페인)

  • Kim, Hyun-Goo;Kim, Dong-Hyuk;Jeon, Wan-Ho;Choi, Hyun-Jeong
    • New & Renewable Energy
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    • v.7 no.2
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    • pp.43-50
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    • 2011
  • The only practical way to measure wind resource at high-altitude over 100 m above ground for a feasibility study on a high-rise building integrated wind turbine might be ground-based remote sensing. The remote-sensing campaign was performed at a 145 m-building roof in Jamsil where is a center of metropolitan city Seoul. The campaign aimed uncertainty assessment of Leosphere WindCube LIDAR and Scintec MPAS SODAR through a mutual comparison. Compared with LIDAR, the data availability of SODAR was about 2/3 at 550 m altitude while both showed over 90% under 400 m, and it is shown that the data availability decrease may bring a distortion of statistical analysis. The wind speed measurement of SODAR was fitted to a slope of 0.92 and $R^2$ of 0.90 to the LIDAR measurement. The relative standard deviation of wind speed difference and standard deviation of wind direction difference were evaluated to be 30% and 20 degrees, respectively over the whole measurement heights.