• Title/Summary/Keyword: characteristics of wind resource

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Measurement of Wind and Solar Radiation for Energy Resources Survey on Islands around Namhae-Tongyoung, Korea (남해-통영 주변 도서지역에서 에너지자원 조사를 위한 풍력과 일사량의 측정)

  • Hwang, Kwang-Il
    • Journal of Navigation and Port Research
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    • v.37 no.1
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    • pp.79-84
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    • 2013
  • For the diversity of energy supply system and the improvement in the habitants' living environments of the islands, it is possible and necessary to use the natural energy as resources of the electric power generation system. In this study, the characteristics of wind and solar radiation on 4 islands offshore Namhae-Tongyoung of Korea were measured for one year from November 2010 to October 2011 and analyzed in relation to energy resources survey. As a result of measurement and analysis, the respective wind rose diagrams of 4 islands were made, and showed that the frequencies of wind directions were quite different from among the islands. The Rayleigh probability distribution of wind velocity showed that the wind speeds of KR and SS were mainly 2~5m/s, and the respective quantities of electric power generation of 4 islands were shown to be different. The variation of solar radiations and potential quantity of those uses were measured to be similar to each other among 4 islands.

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.

Analytical framework for natural frequency shift of monopile-based wind turbines under two-way cyclic loads in sand

  • Yang Wang;Mingxing Zhu;Guoliang Dai;Jiang Xu;Jinbiao Wu
    • Geomechanics and Engineering
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    • v.37 no.2
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    • pp.167-178
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    • 2024
  • The natural frequency shift under cyclic environmental loads is a key issue in the design of monopile-based offshore wind power turbines because of their dynamic sensitivity. Existing evidence reveals that the natural frequency shift of the turbine system in sand is related to the varying foundation stiffness, which is caused by soil deformation around the monopile under cyclic loads. Therefore, it is an urgent need to investigate the effect of soil deformation on the system frequency. In the present paper, three generalized geometric models that can describe soil deformation under two-way cyclic loads are proposed. On this basis, the cycling-induced changes in soil parameters around the monopile are quantified. A theoretical approach considering three-spring foundation stiffness is employed to calculate the natural frequency during cycling. Further, a parametric study is conducted to describe and evaluate the frequency shift characteristics of the system under different conditions of sand relative density, pile slenderness ratio and pile-soil relative stiffness. The results indicate that the frequency shift trends are mainly affected by the pile-soil relative stiffness. Following the relevant conclusions, a design optimization is proposed to avoid resonance of the monopile-based wind turbines during their service life.

A Study on Evaluation of Natural Ventilation Rate and Thermal Comfort during the Intermediate Season considering by Window Layout and Open Window Ratio (학교 교실의 창호 배치 및 개방면적비에 따른 중간기 자연환기량 및 쾌적성 평가에 관한 연구)

  • Kim, Yeo-Jin;Choi, Jeong-Min
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.9
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    • pp.207-214
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    • 2019
  • Natural ventilation through openings such as windows in school buildings is an efficient resource for natural cooling during the intermediate season of the year. Because the natural ventilation uses the wind outside the building, the amount of ventilation will depend not only on the wind speed and wind direction but also on the window layout and open window ratio. Therefore, in this study, the natural ventilation plans of school classroom windows are divided into 4 types and 8 cases as shown in Table 1. The characteristics of cooling effect by natural ventilation are simulated by applying Energyplus's Airflow Network Model and the comfort of the occupants is evaluated by the number of hours included in the 80% acceptability range of the ASHRAE Standard 55-2010 adaptive comfort model for the weekdays (Monday-Friday) and the class hours (08: 00-19: 00). Based on the analysis results of the above, this study presents basic data related to classroom cooling plan using intermediate season natural ventilation.

Sensitivity Analysis of Wake Diffusion Patterns in Mountainous Wind Farms according to Wake Model Characteristics on Computational Fluid Dynamics (전산유체역학 후류모델 특성에 따른 산악지형 풍력발전단지 후류확산 형태 민감도 분석)

  • Kim, Seong-Gyun;Ryu, Geon Hwa;Kim, Young-Gon;Moon, Chae-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.2
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    • pp.265-278
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    • 2022
  • The global energy paradigm is rapidly changing by centering on carbon neutrality, and wind energy is positioning itself as a leader in renewable energy-based power sources. The success of onshore and offshore wind energy projects focuses on securing the economic feasibility of the project, which depends on securing high-quality wind resources and optimal arrangement of wind turbines. In the process of constructing the wind farm, the optimal arrangement method of wind turbines considering the main wind direction is important, and this is related to minimizing the wake effect caused by the fluid passing through the structure located on the windward side. The accuracy of the predictability of the wake effect is determined by the wake model and modeling technique that can properly simulate it. Therefore, in this paper, using WindSim, a commercial CFD model, the wake diffusion pattern is analyzed through the sensitivity study of each wake model of the proposed onshore wind farm located in the mountainous complex terrain in South Korea, and it is intended to be used as basic research data for wind energy projects in complex terrain in the future.

Comparison of RANS, URANS, SAS and IDDES for the prediction of train crosswind characteristics

  • Xiao-Shuai Huo;Tang-Hong Liu;Zheng-Wei Chen;Wen-Hui Li;Hong-Rui Gao;Bin Xu
    • Wind and Structures
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    • v.37 no.4
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    • pp.303-314
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    • 2023
  • In this study, two steady RANS turbulence models (SST k-ω and Realizable k-ε) and four unsteady turbulence models (URANS SST k-ω and Realizable k-ε, SST-SAS, and SST-IDDES) are evaluated with respect to their capacity to predict crosswind characteristics on high-speed trains (HSTs). All of the numerical simulations are compared with the wind tunnel values and LES results to ensure the accuracy of each turbulence model. Specifically, the surface pressure distributions, time-averaged aerodynamic coefficients, flow fields, and computational cost are studied to determine the suitability of different models. Results suggest that the predictions of the pressure distributions and aerodynamic forces obtained from the steady and transient RANS models are almost the same. In particular, both SAS and IDDES exhibits similar predictions with wind tunnel test and LES, therefore, the SAS model is considered an attractive alternative for IDDES or LES in the crosswind study of trains. In addition, if the computational cost needs to be significantly reduced, the RANS SST k-ω model is shown to provide relatively reasonable results for the surface pressures and aerodynamic forces. As a result, the RANS SST k-ω model might be the most appropriate option for the expensive aerodynamic optimizations of trains using machine learning (ML) techniques because it balances solution accuracy and resource consumption.

Analyzing Site Characteristics and Suitability for Wind Farm Facilities in Forest Lands (산지 내 풍력발전단지 입지 특성 및 적합성 분석)

  • Kwon, Soon-Duk;Joo, Woo-Yeong;Kim, Won-Kyung;Kim, Jong-Ho;Kim, Eun-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.17 no.4
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    • pp.86-100
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    • 2014
  • The purposes of this study are to provide a guideline for the suitability of wind farm facilities in forest lands and to suggest improvement plans of policies and systems to minimize the damage of forest lands. First, we implemented a literature review and field surveys to examine and select factors for the suitability of wind farm facilities in forest lands. Spatial database for selected location factors of wind farm facilities in forest lands was constructed to develop the suitability model for locating wind farm facilities focusing on Gangwon-do. Data used in this study include wind power resource, legal mountainous preserved area, forest roads, developed areas, forest class, and other spatial data. In order to find specific-sized potential areas for a certain number of wind farm turbines, we used block statistics and focal statistics methods. As a result, the areas for potential wind farm locations were 1,261ha from a block statistics method and 1,411ha from a focal statistics method. Based on the outputs of this research, it is required to make an urgent solution for the prevention of forest disaster and to prepare reduction measures for the destruction of ridge landscape.

Capacity Optimizing method of Distributed Generators in Stand-Alone Microgrid Considering Grid Link-Characteristics

  • Han, Soo-Kyeong;Choi, Hyeong-Jin;Cho, Soo-Hwan
    • Journal of Electrical Engineering and Technology
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    • v.13 no.4
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    • pp.1483-1493
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    • 2018
  • Recently, more power facilities are needed to cope with the increasing electric demand. However, the additional construction of generators, transmission and distribution installations is not easy because of environmental problems and citizen's complaints. Under this circumstance, a microgrid system with distributed renewable resources emerges as an alternative of the traditional power systems. Moreover, the configuration of power system changes with more DC loads and more DC installations. This paper is written to introduce an idea of a genetic algorithm-based solution to determine the optimal capacity of the distributed generators depending on the types of system configuration: AC-link, DC-link and Hybrid-link types. In this paper, photovoltaic, wind turbine, energy storage system and diesel generator are considered as distributed generators and the feasibility of the proposed algorithm is verified by comparing the calculated capacity of each distributed resource with HOMER simulation results for 3 types of system configuration.

Life cycle analysis on correlation relationship between GHG emission and cost of electricity generation system for energy resources (전과정을 고려한 에너지 자원별 전력생산의 온실가스 배출량과 비용의 상관관계 분석)

  • Kim, Heetae;Ahn, Tae Kyu
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.05a
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    • pp.136.2-136.2
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    • 2011
  • In this work, we analyzed correlations between life-cycle greenhouse gas (GHG) emissions and life-cycle cost of energy resources. Energy resources studied in this paper include coal, natural gas, nuclear power, hydropower, geothermal energy, wind power, solar thermal energy, and solar photovoltaic energy, and all of them are used to generate electricity. We calculated the mean values, ranges of maximum minus minimum values, and ranges of 90% confidence interval of life-cycle GHG emissions and life-cycle cost of each energy resource. Based on the values, we plotted them in two dimensional graphs to analyze a relationship and characteristics between GHG emissions and cost. Besides, to analyze the technical maturity, the GHG emissions and the range of minimum and maximum values were compared to each other. For the electric generation, energy resources are largely inverse proportional to the GHG emission and the corresponding cost.

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Predicting the Suitable Habitat of Invasive Alien Plant Conyza bonariensis based on Climate Change Scenarios (기후변화 시나리오에 의한 외래식물 실망초(Conyza bonariensis)의 서식지 분포 예측)

  • Lee, Yong-Ho;Oh, Young-Ju;Hong, Sun-Hea;Na, Chea-Sun;Na, Young-Eun;Kim, Chang-Suk;Sohn, Soo-In
    • Journal of Climate Change Research
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    • v.6 no.3
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    • pp.243-248
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    • 2015
  • This study was conducted to predict the changes of potential distribution for invasive alien plant, Conyza bonariensis in Korea. C. bonariensis was found in southern Korea (Jeju, south coast, southwest coast). The habitats of C. bonariensis were roadside, bare ground, farm area, and pasture, where the interference by human was severe. Due to the seed characteristics of Compositae, C. bonariensis take long scattering distance and it will easily spread by movement of wind, vehicles and people. C. canadensis in same Conyza genus has already spread on a national scale and it is difficult to manage. We used maximum entropy modeling (MaxEnt) for analyzing the environmental influences on C. bonariensis distribution and projecting on two different RCP scenarios, RCP 4.5 and RCP 8.5. The results of our study indicated annual mean temperature, elevation and temperature seasonality had higher contribution for C. bonariensis potential distribution. Area under curve (AUC) values of the model was 0.9. Under future climate scenario, the constructed model predicted that potential distribution of C. bonariensis will be increased by 338% on RCP 4.5 and 769% on RCP 8.5 in 2100s.