• Title/Summary/Keyword: 해상풍력에너지

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The Establishment of a High Resolution(1Km×1Km) Wind Energy Map Based on a Statistical Wind Field Model (통계적 바람장모형에의한 고해상도(1Km×1Km)풍력에너지지도 작성에 관한 연구)

  • Kim, Hea-Jung;Kim, Hyun-Sik;Choi, Young-Jean;Byon, Jae-Young
    • The Korean Journal of Applied Statistics
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    • v.23 no.6
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    • pp.1157-1167
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    • 2010
  • This paper details a method for establishing a wind energy map having($1Km{\times}1Km$) resolution. The map is essential for measurement and efficiency-testing of wind energy resources and wind site analysis. To this end, a statistical wind field model is estimated that covers 345,682 regions obtained by $1Km{\times}1Km$ lattices made over South Korea. The paper derives various characteristics of a regional wind energy resource under the statistical wind field model and estimates them to construct the wind energy map. Kolmogorov-Smirnov test, based on TMY(typical meteorological year) wind data of 76 weather station areas, shows that a Log-normal model is adequate for the statistical wind field model. The model is estimated by using the wind speed data of 345,682 regions provided by the National Institute of Meteorological Research(NIMR). Various wind energy statistics are studied under the Log-normal wind field model. As an application, the wind energy density(W$/m^2$) map of South Korea is constructed with a resolution of $1Km{\times}1Km$ and its utility for the wind site analysis is discussed.

Development of facility safety diagnosis system for offshore wind power using semi-supervised machine learning (준지도 학습 머신러닝을 이용한 해상 풍력용 설비안전 진단 시스템의 개발)

  • Woo-Jin Choi
    • Journal of Wind Energy
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    • v.13 no.3
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    • pp.33-42
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    • 2022
  • In this paper, a semi-supervised machine learning technique applied to actual field vibration data acquired from Jeju-do wind turbines for predictive diagnosis of abnormal conditions of offshore wind turbines is introduced. Semi-supervised machine learning, which combines un-supervised learning with supervised learning, can be used to perform anomaly detection in situations where sufficient fault data cannot be obtained. The signal processing results using the spectrogram of the original signal were shown, and external data were used to overcome the problem that disturbance reactions easily occurred due to the imbalance between the number of normal and abnormal data. Out of distribution (OOD), which uses external data, is a technology that is regarded as abnormal data that is unlikely to occur in reality, but we were able to use it by expanding it. By rearranging the distribution of data in this way, classification can be performed more robustly. Specifically, by observing the trends of the abnormal score and the change in the feature of the representation layer, continuous learning was performed through a mixture of existing and new data.

Effect of platform shape and damaged mooring lines on the movement of semi-submersible wind turbines (반잠수식 풍력발전기의 형상 및 계류선 손상에 따른 운동특성)

  • Dong-Uk Kwon;Hee-Chang Lim
    • Journal of Wind Energy
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    • v.13 no.3
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    • pp.72-78
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    • 2022
  • This study performed a numerical analysis on the effect of platform shape and damaged mooring lines on the movement of the semi-submersible floating offshore wind turbines (FOWT). The NREL 5 MW-OC4-DeepCwind semi-submersible wind turbine was selected as the reference model. In order to find the effect of the semi-submersible floating platform shape, the dynamic movement and feasibility of three different models were observed with and without the presence of turbine blades. In addition, extreme conditions were considered by having one of the mooring lines detached to determine the effects on the FOWT. As a result, the remaining mooring lines deviated to change the surge and sway motion, which could cause a collision with nearby marine structures, and the variation of yaw angle might lead to critical accidents such as rollover. Since the response of the floating platform after receiving mooring line damage may vary depending on the mooring pattern, the location of the mooring damage, and the direction of the wind and waves, detailed simulations showed substantial variation of damage patterns.

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.

Development of Web-Based Wind Data Analysis System for HeMOSU-1 (웹기반 해모수-1 풍황자료 분석 시스템 개발)

  • Ryu, Ki-Wahn;Park, Kun-Sung;Lee, Jong-Hwa;Oh, Soo-Yun;Kim, Ji-Young;Park, Myoung-Ho
    • Journal of Wind Energy
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    • v.4 no.1
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    • pp.60-67
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    • 2013
  • A web-based program was developed for analyzing weather and structure data from the HeMOSU-1 offshore meteorological mast installed by the KEPCO Research Institute, and 35 km west-southwestward away from Gyeokpo located in Jeonbuk province. All of the measured data are obtained through the data transmitter and the server systems equipped on the HeMOSU-1 and the aerodynamic laboratory in Chonbuk National University respectively. The dualised server system consists of two servers, one is for logging the 1 second based raw data with 10 minute averaged values, and the other is for managing web page with processed weather data. Daily or weekly 10-min averaged data can be provided based on the input date by users. Processed weather data such as wind rose, Weibull distribution, diurnal distribution, turbulence intensity according to wind speed, wind energy density, and so forth are visualized through the web page which would be both useful and informative for developing the wind farm or designing a wind blade for the wind farm nearby southwest sea around the Korean Peninsula. The URL for this web page is http://www.hemosu.org/.

Extreme Design Load Case Analyses of a 5 MW Offshore Wind Turbine Using Unsteady Computational Fluid Dynamics (비정상 CFD 해석기법을 활용한 5 MW 해상풍력터빈 극한 설계하중조건 해석)

  • Kim, Dong-Hyun;Lee, Jang-Ho;Tran, Thanh-Toan;Kwak, Young-Seob;Song, Jin-Seop
    • Journal of Wind Energy
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    • v.5 no.1
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    • pp.22-32
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    • 2014
  • The structural design of a wind turbine must show the verification of the structural integrity of all load-carrying components. Also, design load calculations shall be performed using appropriate and accurate methods. In this study, advanced numerical approach for the calculation of design loads based on unsteady computational fluid dynamics (CFD) is presented considering extreme design load conditions such as the extreme coherent gust (ECG) and the 50 year extreme operating gust (EOG). Unsteady aerodynamic loads are calculated based on Reynolds average Navier-Stokes (RANS) equations with shear-stress transport k-ω(SST k-ω) turbulent model. A full three-dimensional 5 MW offshore wind-turbine model with rotating blades, hub, nacelle, and tower configuration is practically considered and its aerodynamic interference effect among blades, nacelle, and tower is also accurately considered herein. Calculated blade loads based on unsteady CFD method with respect to blade azimuth angle are compared with those by NREL FAST code and physically investigated in detail.

Evaluation Study of LCOE for 8 MW Offshore Floating Wind Turbine in Ulsan Region (울산 앞바다 8 MW급 부유식 해상풍력터빈의 LCOE 연구 )

  • Dong Hoon Lee;Hee Chang Lim
    • Journal of Wind Energy
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    • v.14 no.1
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    • pp.5-13
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    • 2023
  • The commercialization has been of great importance to the clean energy research sector for investing the wind farm development, but it would be difficult to reach a social consensus on the need to expand the economic feasibility of renewable energy due to the lack of reliable and continuous information on levelized cost of Energy (LCOE). Regarding this fact, this paper presents the evaluation of LCOE, focusing on Ulsan offshore region targeting to build the first floating offshore wind farm. Energy production is estimated by the meteorology data combined with the Leanwind Project power curve of an exemplar wind turbine. This work aims to analyze the costs of the Capex depending on site-specific variables. The cost of final LCOE was estimated by using Monte-Carlo method, and it became an average range 297,090 KRW/MWh, a minimum of 251,080 KRW/MWh, and a maximum of 341,910 KRW/MWh. In the year 2021, the SMP (system marginal price) and 4.5 REC (renewable energy certificate) can be paid if 1 MWh of electricity is generated by renewable energy. Considering current SMP and REC price, the floating platform industry, which can earn around 502,000 KRW/MWh, can be finally estimated highly competitive in the Korean market.

Dynamic Response of Floating Green Hydrogen Production System with Various Connection Power Cable Outer Diameters Under Operating Conditions (운영중인 부유식 그린 수소 생산 시스템의 연결 전력 케이블 외경 변화에 따른 동적 거동 평가)

  • Seung Mo Kim;Woo Chul Chung
    • Journal of Wind Energy
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    • v.15 no.3
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    • pp.62-71
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    • 2024
  • A floating green hydrogen production platform is considered a suitable facility for the hydrogen supply chain in the future. In this study, we analyzed the dynamic behavior of a floating green hydrogen production platform according to changes in the outer diameter of the connecting power cable. The platform consists of a floater that generates hydrogen and an offshore wind turbine, and a connection power cable is attached to the floater to supply the electric power produced by the offshore wind turbine. In this study, it was found that variations of the outer diameter of the connection power cable had a minor effect on the dynamic behavior on the floater, and the larger the outer diameter of the connecting power cable, the greater the effective tension. As a result, it was found that the outer diameter of the cable was not a major variable in the entire production system design.

A Study on Local Acceptance of Offshore Wind Farm: Focus on Maldo, Gunsan (해상풍력 주민수용성 연구: 군산 말도를 중심으로)

  • Lee, Sanghyuk;Park, Jaepil
    • New & Renewable Energy
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    • v.16 no.2
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    • pp.20-27
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    • 2020
  • According to "The Renewable Energy 3020 Implementation Plan", offshore wind power accounts for 12 GW of the total new capacity of 48.7 GW. Like the south-west 2.5 GW offshore wind farm case, government-led development has had difficulty in securing the residents' acceptability. This study contributes to the study of local acceptance by analyzing the perceptions of Maldo residents. To this end, in-depth interviews were conducted with the head of a village and fishing village chief, and the entire contents of the interview were revised and analyzed. The cognitive structure of the stakeholders could be confirmed using semantic network analysis, which analyzes the network structure among words. Based on the analysis results, focusing on the identity frames related to the compensation process from previous national projects, gain vs. loss frames act as the dominant frame in terms of profits from offshore wind turbines. To invigorate offshore wind farms, the policy implications as follows. First, a negotiation organization should be organized to deal with strategic opposition by fishes. Second, installing offshore wind farms on a public water body will result in demands for compensation from various actors, and a licensed fishing territory as an offshore wind farm installation site should be considered.

A Feasibility Study on Annual Energy Production of the Offshore Wind Farm using MERRA Reanalysis Data (해상풍력발전단지 연간발전량 예측을 위한 MERRA 재해석 데이터 적용 타당성 연구)

  • Song, Yuan;Kim, Hyungyu;Byeon, Junho;Paek, Insu;Yoo, Neungsoo
    • Journal of the Korean Solar Energy Society
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    • v.35 no.2
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    • pp.33-41
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    • 2015
  • A feasibility study to estimate annual energy production of an offshore wind farm was performed using MERRA reanalysis data. Two well known commercial codes commonly used to wind farm design and power prediction were used. Three years of MERRA data were used to predict annual energy predictions of the offshore wind farm close to Copenhagen from 2011 to 2013. The availability of the wind farm was calculated from the power output data available online. It was found from the study that the MERRA reanalysis data with commercial codes could be used to fairly accurately predict the annual energy production from offshore wind farms when a meteorological mast is not available.