• Title/Summary/Keyword: Wind resources

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Buoyancy and Vertical Distribution of Mackerel Scomber japonicus Eggs in Korean Waters (한국 연근해 고등어(Scomber japonicus) 알의 비중과 수직분포)

  • Jung, Kyung-Mi;Kang, Sukyung;Cha, Hyung Kee;Choi, Kwang Ho;Myksvoll, Mari S.
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.46 no.6
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    • pp.957-965
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    • 2013
  • This study simulated the egg vertical distribution of mackerel Scomber japonicus in Korean waters using general numerical models. All eggs were spawned naturally by raising broodfishes (May-June 2013), and the egg specific gravity was measured by a density-gradient column. CTD surveys provided environmental data (e.g., temperature and salinity) in May near Jeju Island, Korea. The egg specific gravity during the early stages ranged from 1.0203-1.0211. In general, the fertilized eggs showed a gradual decline in egg specific gravity until full development of the main organs, with a sudden increase just before hatching. Modeled egg vertical distributions were influenced more by wind speed than by egg buoyancy and vertical structure of the sea water. During calm and normal wind speeds, the eggs were distributed from the surface to 25-m depths. Under strong wind conditions (three times higher than the normal speed), the egg concentration on the surface decreased, and the egg distributional depth was deeper (~50 m).

Wind-induced tall building response: a time-domain approach

  • Simiu, Emil;Gabbai, Rene D.;Fritz, William P.
    • Wind and Structures
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    • v.11 no.6
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    • pp.427-440
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    • 2008
  • Estimates of wind-induced wind effects on tall buildings are based largely on 1980s technology. Such estimates can vary significantly depending upon the wind engineering laboratory producing them. We describe an efficient database-assisted design (DAD) procedure allowing the realistic estimation of wind-induced internal forces with any mean recurrence interval in any individual member. The procedure makes use of (a) time series of directional aerodynamic pressures recorded simultaneously at typically hundreds of ports on the building surface, (b) directional wind climatological data, (c) micrometeorological modeling of ratios between wind speeds in open exposure and mean wind speeds at the top of the building, (d) a physically and probabilistically realistic aerodynamic/climatological interfacing model, and (e) modern computational resources for calculating internal forces and demand-to-capacity ratios for each member being designed. The procedure is applicable to tall buildings not susceptible to aeroelastic effects, and with sufficiently large dimensions to allow placement of the requisite pressure measurement tubes. The paper then addresses the issue of accounting explicitly for uncertainties in the factors that determine wind effects. Unlike for routine structures, for which simplifications inherent in standard provisions are acceptable, for tall buildings these uncertainties need to be considered with care, since over-simplified reliability estimates could defeat the purpose of ad-hoc wind tunnel tests.

Analysis of Wind Energy Potential on the West Coast of South Korea Using Public Data from the Korea Meteorological Administration (기상청 공공데이터를 활용한 대한민국 서해안 일대의 바람자원 분석)

  • Sangkyun Kang;Sung-Ho Yu;Sina Hadadi;Dae-Won Seo;Jungkeun Oh;Jang-Ho Lee
    • Journal of Wind Energy
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    • v.14 no.3
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    • pp.14-24
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    • 2023
  • The significance of renewable energy has been on the rise, as evidenced by the 3020 renewable energy plan and the 2050 carbon neutrality strategy, which seek to advance a low-carbon economy by implementing a power supply strategy centered around renewable energy sources. This study examines the wind resources on the west coast of South Korea and confirms the potential for wind power generation in the area. Wind speed data was collected from 22 automatic weather system stations and four light house automatic weather system stations provided by the Korea Meteorological Administration to evaluate potential sites for wind farms. Weibull distribution was used to analyze the wind data and calculate wind power density. Annual energy production and capacity factors were estimated for 15-20 MW-class large wind turbines through the height correction of observed wind speeds. These findings offer valuable information for selecting wind power generation sites, predicting economic feasibility, and determining optimal equipment capacity for future wind power generation sites in the region.

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.

A data-driven method for the reliability analysis of a transmission line under wind loads

  • Xing Fu;Wen-Long Du;Gang Li;Zhi-Qian Dong;Hong-Nan Li
    • Steel and Composite Structures
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    • v.52 no.4
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    • pp.461-473
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    • 2024
  • This study focuses on the reliability of a transmission line under wind excitation and evaluates the failure probability using explicit data resources. The data-driven framework for calculating the failure probability of a transmission line subjected to wind loading is presented, and a probabilistic method for estimating the yearly extreme wind speeds in each wind direction is provided to compensate for the incompleteness of meteorological data. Meteorological data from the Xuwen National Weather Station are used to analyze the distribution characteristics of wind speed and wind direction, fitted with the generalized extreme value distribution. Then, the most vulnerable tower is identified to obtain the fragility curves in all wind directions based on uncertainty analysis. Finally, the failure probabilities are calculated based on the presented method. The simulation results reveal that the failure probability of the employed tower increases over time and that the joint probability distribution of the wind speed and wind direction must be considered to avoid overestimating the failure probability. Additionally, the mixed wind climates (synoptic wind and typhoon) have great influence on the estimation of structural failure probability and should be considered.

Pitch Angle Control and Wind Speed Prediction Method Using Inverse Input-Output Relation of a Wind Generation System

  • Hyun, Seung Ho;Wang, Jialong
    • Journal of Electrical Engineering and Technology
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    • v.8 no.5
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    • pp.1040-1048
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    • 2013
  • In this paper, a sensorless pitch angle control method for a wind generation system is suggested. One-step-ahead prediction control law is adopted to control the pitch angle of a wind turbine in order for electric output power to track target values. And it is shown that this control scheme using the inverse dynamics of the controlled system enables us to predict current wind speed without an anemometer, to a considerable precision. The inverse input-output of the controlled system is realized by use of an artificial neural network. The proposed control and wind speed prediction method is applied to a Double-Feed Induction Generation system connected to a simple power system through computer simulation to show its effectiveness. The simulation results demonstrate that the suggested method shows better control performances with less control efforts than a conventional Proportional-Integral controller.

Establishment of Korean Wind Map by Numerical Wind Simulation (수치바람모의에 의한 한반도 바람지도 구축)

  • Kim, Hyun-Goo;Jang, Moon-Seok;Lee, Hwa-Woon;Choi, Hyun-Jeong
    • 유체기계공업학회:학술대회논문집
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    • 2006.08a
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    • pp.265-268
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    • 2006
  • In this paper, the research background and objectives of the wind mapping project of the Korean Peninsula, which has been carrying out as a part of "Investigation of new-renewable energy resources and establishment of comprehensive management system" funded by Korea Ministry of Commerce, Industry and Energy, are introduced together with the intermediate result of the project so far. The Korean wind map is to be established by numerical wind simulation based on terrain model ME-DEM and land-use model ME-LUM with the spatial resolution of 10km.

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Probabilistic Production Cost Credit Evaluation of Wind Turbine Generators (풍력발전기의 확률론적 발전비용 절감기여도 평가)

  • Park, Jeong-Je;Wu, Liang;Choi, Jae-Seok;Cha, Jun-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.12
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    • pp.2153-2160
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    • 2008
  • This paper develops an algorithm for probabilistic production cost credit evaluation of wind turbine generators(WTG) with multi-state. Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass etc. are becoming importance stage by stage because of considering effect of the environment. Wind energy is one of the most successful sources of renewable energy for the production of electrical energy. Case study demonstrates that the wind speed credit in view point of economics can be assessed by using the proposed methodology.

EXPERIMENT AND SIMULATION OF A WIND-DRIVEN REVERSE OSMOSIS DESALINATION SYSTEM

  • Park, Sang-Jin;Clark C.K. Liu
    • Water Engineering Research
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    • v.4 no.1
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    • pp.1-17
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    • 2003
  • A mathematical model was developed to simulate the performance of a prototype wind-powered reverse osmosis desalination system. The model consists of two sub-models operated in a series. The first sub-model is the wind-energy conversion sub-model, which has wind energy and feed water as its input and pressurized feed water as its output. The second sub-model is a reverse osmosis (RO) process sub-model, with pressurized feed water as its input and the flow and salinity of the product water or permeate as its output. Model coefficients were determined based on field experiments of a prototype wind powered RO desalination system of the University of Hawaii, from June to December 2001. The mathematical model developed by this study predicts the performance of wind-powered RO desalination systems under different design conditions. The system optimization is achieved using a linear programming approach. Based on the results of system optimization, a design guide is prepared, which can be used by both manufacturer and end-user of the wind-driven reverse osmosis system.

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