• Title/Summary/Keyword: Wind Power Plant

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Atmospheric Dispersion of Radioactive Material according to the Local Wind Patterns around the Kori Nuclear Power Plant using WRF/HYSPLIT Model (WRF/HYSPLIT 모델을 이용한 고리원전 인근 국지바람 패턴에 따른 방사성물질 대기확산 특성)

  • An, Hye Yeon;Kang, Yoon-Hee;Song, Sang-Keun;Bang, Jin-Hee;Kim, Yoo-Keun
    • Journal of Environmental Science International
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    • v.24 no.1
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    • pp.81-96
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    • 2015
  • The characteristics of atmospheric dispersion of radioactive material (i.e. $^{137}Cs$) related to local wind patterns around the Kori nuclear power plant (KNPP) were studied using WRF/HYSPLIT model. The cluster analysis using observed winds from 28 weather stations during a year (2012) was performed in order to obtain representative local wind patterns. The cluster analysis identified eight local wind patterns (P1, P2, P3, P4-1, P4-2, P4-3, P4-4, P4-5) over the KNPP region. P1, P2 and P3 accounted for 14.5%, 27.0% and 14.5%, respectively. Both P1 and P2 are related to westerly/northwesterly synoptic flows in winter and P3 includes the Changma or typhoons days. The simulations of P1, P2 and P3 with high wind velocities and constant wind directions show that $^{137}Cs$ emitted from the KNPP during 0900~1400 LST (Local Standard Time) are dispersed to the east sea, southeast sea and southwestern inland, respectively. On the other hands, 5 sub-category of P4 have various local wind distributions under weak synoptic forcing and accounted for less than 10% of all. While the simulated $^{137}Cs$ for P4-2 is dispersed to southwest inland due to northeasterly flows, $^{137}Cs$ dispersed northward for the other patterns. The simulated average 137Cs concentrations of each local wind pattern are $564.1{\sim}1076.3Bqm^{-3}$. The highest average concentration appeared P4-4 due to dispersion in a narrow zone and weak wind environment. On the other hands, the lowest average concentration appeared P1 and P2 due to rapid dispersion to the sea. The simulated $^{137}Cs$ concentrations and dispersion locations of each local wind pattern are different according to the local wind conditions.

Analysis of fault current in offshore wind farm ccording to the grid connection method (해상풍력 발전단지의 전력망 연계방식에 따른 고장전류 분석)

  • Ahn, Jin-Hong;Kim, Eel-Hwan
    • Journal of IKEEE
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    • v.24 no.3
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    • pp.691-698
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    • 2020
  • The installation cost or the magnitude of the fault current varies depending on the grid connection method of the offshore wind farm. Therefore, there is a need for an efficient power grid connection method considering the capacity and location of the complex. In particular, most power cables in offshore wind farms use 3-core considering cost and efficiency. In the event of a failure such as a short circuit, the entire cable must be replaced, which can lead to significant losses in terms of cost, considering repair costs and turbine downtime. Therefore, in this paper, a radial, ring, and molding method is introduced into a 100 MW wind farm to be installed at Jeju offshore, and a three-phase short circuit failure is performed using a PSCAD/EMTDC program to perform computer analysis. I would like to propose a suitable power grid connection method.

Wind power forecasting based on time series and machine learning models (시계열 모형과 기계학습 모형을 이용한 풍력 발전량 예측 연구)

  • Park, Sujin;Lee, Jin-Young;Kim, Sahm
    • The Korean Journal of Applied Statistics
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    • v.34 no.5
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    • pp.723-734
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    • 2021
  • Wind energy is one of the rapidly developing renewable energies which is being developed and invested in response to climate change. As renewable energy policies and power plant installations are promoted, the supply of wind power in Korea is gradually expanding and attempts to accurately predict demand are expanding. In this paper, the ARIMA and ARIMAX models which are Time series techniques and the SVR, Random Forest and XGBoost models which are machine learning models were compared and analyzed to predict wind power generation in the Jeonnam and Gyeongbuk regions. Mean absolute error (MAE) and mean absolute percentage error (MAPE) were used as indicators to compare the predicted results of the model. After subtracting the hourly raw data from January 1, 2018 to October 24, 2020, the model was trained to predict wind power generation for 168 hours from October 25, 2020 to October 31, 2020. As a result of comparing the predictive power of the models, the Random Forest and XGBoost models showed the best performance in the order of Jeonnam and Gyeongbuk. In future research, we will try not only machine learning models but also forecasting wind power generation based on data mining techniques that have been actively researched recently.

Evaluation of a Grid System for Numerical Analysis of a Small Savonius Wind Turbine (사보니우스 소형풍력터빈 수치해석용 격자시스템 평가)

  • KIM, CHUL-KYU;LEE, SANG-MOON;JEON, SEOK-YUN;YOON, JOON-YONG;JANG, CHOON-MAN
    • Transactions of the Korean hydrogen and new energy society
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    • v.27 no.5
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    • pp.547-553
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    • 2016
  • This paper presents the effect of a grid system on the performance of a small Savonius wind turbine installed side-by-side. Turbine performance is compared using three different grid systems; tetrahedral grid having a concentrated circular grid around turbine rotors, the tetrahedral grid having a concentrated rectangular grid around turbine rotors and the symmetric grid having a concentrated tetrahedral grid near the turbine rotor blades and a hexahedral grid. The commercial code, SC/Tetra has been used to solve the three-dimensional unsteady Reynolds-averaged Navier-Stokes analysis in the present study. The Savonius turbine rotor has a rotational diameter of 0.226m and an aspect ratio of 1.0. The distance between neighboring rotor tips keeps the same length of the rotor diameter. The variations of pressure and power coefficient are compared with respect to blade rotational angles and rotating frequencies of the turbine blade. Throughout the comparisons of three grid systems, it is noted that the symmetric grid having a concentrated tetrahedral grid near the turbine rotor blades and a hexahedral grid has a stable performance compared to the other ones.

The Pahlev Reliability Index: A measurement for the resilience of power generation technologies versus climate change

  • Norouzi, Nima
    • Nuclear Engineering and Technology
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    • v.53 no.5
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    • pp.1658-1663
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    • 2021
  • Research on climate change and global warming on the power generation systems are rapidly increasing because of the Importance of the sustainable energy supply, thus the electricity supply since its growing share, in the end, uses energy supply. However, some researchers conducted this field, but many research gaps are not mentioned and filled in this field's literature since the lack of general statements and the quantitative models and formulation of the issue. In this research, an exergy-based model is implemented to model a set of six power generation technologies (combined cycle, gas turbine, nuclear plant, solar PV, and wind turbine) and use this model to simulate each technology's responses to climate change impacts. Finally, using these responses to define and calculate a formulation for the relationship between the system's energy performance in different environmental situations and a dimensionless index to quantize each power technology's reliability against the climate change impacts called the Pahlev reliability index (P-index) of the power technology. The results have shown that solar and nuclear technologies are the most, and wind turbines are the least reliable power generation technologies.

Prediction of module temperature and photovoltaic electricity generation by the data of Korea Meteorological Administration (데이터를 활용한 태양광 발전 시스템 모듈온도 및 발전량 예측)

  • Kim, Yong-min;Moon, Seung-Jae
    • Plant Journal
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    • v.17 no.4
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    • pp.41-52
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    • 2021
  • In this study, the PV output and module temperature values were predicted using the Meteorological Agency data and compared with actual data, weather, solar radiation, ambient temperature, and wind speed. The forecast accuracy by weather was the lowest in the data on a clear day, which had the most data of the day when it was snowing or the sun was hit at dawn. The predicted accuracy of the module temperature and the amount of power generation according to the amount of insolation decreased as the amount of insolation increased, and the predicted accuracy according to the ambient temperature decreased as the module temperature increased as the ambient temperature increased and the amount of power generated lowered the ambient temperature. As for wind speed, the predicted accuracy decreased as the wind speed increased for both module temperature and power generation, but it was difficult to define the correlation because wind speed was insignificant than the influence of other weather conditions.

A Study on Decision-making of Equipment Procurement for Plant Operations & Maintenance (O&M) - Focused on Technology Strategy perspective - (플랜트 O&M을 위한 기자재 조달방식 의사결정에 관한 연구 - 기술전략 관점을 중심으로 -)

  • Hong, Daegeun;Lim, Yongtaek
    • Journal of the Korean Society of Systems Engineering
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    • v.15 no.1
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    • pp.25-33
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    • 2019
  • In the plant industry, the share of equipment accounts for 45 ~ 75%, which is very high. It is a traditional plant centered on processes and reactions like petroleum and chemical plants. Renewable energy generation plants such as wind power generation and solar power generation are equipment-centric plants. Equipment-centric plants are very important not only in the EPC phase but also in the operation and management phase. The procurement of equipment for plant operation and management can be divided into make and buy. Make is a method of producing equipment itself, and buy is a method of procuring equipment from the outside. The procurement method of the equipment directly affects the plant operation and management cost. In this study, the decision making of equipment procurement method for plant operation and management is defined as 4 phase. Each phase is selection of procurement decision-making objects, technology strategy perspective, finance perspective, and production perspective. In detail, we defined selection process of procurement decision-making objects and technology strategy perspective process. We will contribute to the enhancement of the competitiveness of the plant operation and management area by carrying out researches on the process and application examples of financial and production perspectives in the future.

A Strategical Review on the Rare Earth (희토류에 관한 심층적인 고찰)

  • Lee, Hyo-Sook
    • Journal of the Korean Professional Engineers Association
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    • v.44 no.2
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    • pp.39-42
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    • 2011
  • The main concern at the moment is securing rare earth(RE) resources, because the RE is the essential elements in green technology such as hybrid car, wind power plant, LED, display etc. It's impossible Korea will be a advanced country without securing RE. The importance of investment radically in the securing RE resources and professional engineers can not be overinvested.

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A Study on the Environment and Human Tritium Radiation Monitoring around the Heavy Water Nuclear Power Plant (중수로 원전 주변 환경 및 인체 삼중수소 방사능 모니터링에 관한 고찰)

  • SangJun Han;HongYeon Lee;BoGil Kim;HyeKyung Ha;YongJu Sin
    • Journal of Radiation Industry
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    • v.17 no.4
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    • pp.427-436
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    • 2023
  • As a result of evaluating the level of tritium emitted from the nuclear power plant in the environment and the human body, it was confirmed that tritium was detected in the environmental media and human urine samples to be investigated. It was found that the tritium was clearly detected. After the operation of the Tritium Removal Facility (TRF), which was operated for the purpose of removing tritium from the Wolsong nuclear power plant, the tritium emission showed a decreasing trend, and the tritium level in the environmental media also showed a tendency to decrease accordingly. However, for precise evaluation, it was necessary to select and investigate points by distance, season, and wind direction from the nuclear power plant, but it also showed characteristics that did not reflect this. As the cycle, etc., implemented the previous environmental monitoring program as it is, there was also a limitations in not being able to reflect the changing environment. Therefore, it is necessary to review and supplement the environmental monitoring investigation plan and results so far, and by applying the supplemented investigation plan to secure valid and reliable investigation results, it is judged that it will be an appropriate measure for environmental conservation and human protection in the vicinity of the nuclear power plant.

Optimization of Green Ammonia Production Facility Configuration in Australia for Import into Korea

  • Hyun-Chang Shin;Hak-Soo Mok
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_1
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    • pp.269-276
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    • 2024
  • Many countries across the world are making efforts beyond reducing CO2 levels and declaring 'net zero,' which aims to cut greenhouse gas emissions to zero by not emitting any carbon or capturing carbon, by 2050. Hydrogen is considered a key energy source to achieve carbon neutrality goals. Korean companies are also interested in building overseas green ammonia production plants and importing hydrogen into Korea in the form of ammonia. Green hydrogen production uses renewable energy sources such as solar and wind power, but the variability of power production poses challenges in plant design. Therefore, optimization of the configuration of a green ammonia production plant using renewable energy is expected to contribute as basic information for securing the economic feasibility of green ammonia production.