• Title/Summary/Keyword: long-term simulation

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The Thermal Analysis of Pole Mount Mold Transformer with One-body Molding by Duct Condition (일체형 주상용 몰드변압기의 덕트에 따른 열해석 특성 연구)

  • Cho, Han-Goo;Lee, Un-Yong
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.07b
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    • pp.1135-1138
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    • 2003
  • The transformer is major equipment in power receiving and substation facilities. Necessary conditions required for the transformer are compactness, lightness, high reliability, economic advantages, and easy maintenance. The pole-mount transformer installed in distribution system is acting direct role in supply of electric power and it is electric power device should drive for long term. Most of modem transformer are oil-filled transformer and accident is happening considerable. The mold transformers have been widely used in underground substations in large building and have some advantages in comparison to oil-transformer, that is low fire risk, excellent environmental compatibility, compact size and high reliability. In addition, the application of mold transformer for outdoor is possible due to development of epoxy resin. The mold transformer generally has cooling duct between low voltage coil and high voltage coil. A mold transformer made by one body molding method has been developed for small size and low loss. One body molding transformer needs some cooling method because heat radiation between each winding is difficult. In this paper, The thermal analysis of pole mount mold transformer with one body molding by duct condition is investigated and the test result of temperature rise is compared with simulation data.

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Spaceborne Gravity Sensors for Continental Hydrology and Geodynamic Studies

  • Shum C. K.;Han Shin-Chan;Braun Alexander
    • Korean Journal of Remote Sensing
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    • v.21 no.1
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    • pp.51-57
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    • 2005
  • The currently operating NASA/GFZ Gravity Recovery and Climate Experiment (GRACE) mission is designed to measure small mass changes over a large spatial scale, including the mapping of continental water storage changes and other geophysical signals in the form of monthly temporal gravity field. The European Space Agency's Gravity field and steady state Ocean Circulation Explorer (GOCE) space gravity gradiometer (SGG) mission is anticipated to determine the mean Earth gravity field with an unprecedented geoid accuracy of several cm (rms) with wavelength of 130km or longer. In this paper, we present a summary of present GRACE studies for the recovery of hydrological signals in the Amazon basin using alternative processing and filtering techniques, and local inversion to enhance the temporal and spatial resolutions by two-folds or better. Simulation studies for the potential GRACE detection of slow deformations due to Nazca-South America plate convergence and glacial isostatic adjustment (GIA) signals show that these signals are at present difficult to detect without long-term data averaging and further improvement of GRACE measurement accuracy.

Study on Simulation of Long-term sediment Transfer for applying to reservoir operation - In Gulpur HPP, Pakistan (저수지 운영을 위한 장기간 퇴사분석 - 파키스탄 Gulpur를 대상으로)

  • Won, Changyeon;Park, Jongpyo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.234-234
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    • 2018
  • 댐 건설을 하게 되면 저수지 형성으로 인한 통수단면 증가가 발생하고 이에 따른 하천의 유속 및 난류 영향이 감소하게 된다. 이러한 영향으로 댐 상류 구간에서 발생한 유사량은 저수지에 퇴적하게 되고 유효저수량은 감소하게 된다. 저수지의 유효저수량 감소는 댐의 주요 기능인 용수공급, 수력발전 등의 기능 저하에 지대한 영향을 주게 된다. 특히 해외 수력발전 사업의 경우 하천 경사가 크고, 퇴사가 많이 발생하는 지역에 댐이 위치하고 있다. 이와 같은 문제 해결을 위한 중 장기적 퇴사거동 및 예측에 대한 연구가 필요한 상황이다. 본 연구에서는 파키스탄 Gulpur 지역에 설치 예정인 수력발전용 댐에 대한 장기간 퇴사모의를 위해 1차원 유사해석 모형인 HEC-RAS sediment module을 이용하였다. 퇴사모의에 적용한 모형의 입력 자료로는 총 52개년(1960-2011년)간 유사량 관측값과 20년간 유량측정 결과를 이용하였다. 유사해석 모의 시나리오는 유사 재질 비율변화에 따른 장기간 Deposited 모의와 댐의 Gate를 통한 유사 배제를 운영하는 Flushing 모의를 수행하였다. 유사해석 모의 결과 Deposited 시나리오의 경우는 저수지에서 퇴적된 유사는 대부분 Sand가 차지하게 된다. Sand의 포착률은 저수지가 가득 차기 이전에는 거의 100 % 포착이 되며, 저수지가 가득 차는 시기인 운영 20년 후에는 Sand를 포함한 전체 유사의 59%가 포착하게 되어 저수지가 한계에 도달한 것을 확인하였다. 또한, Flushing 시나리오의 경우는 Flushing 운영 기간의 변화에 따른 퇴사 포착 영향이 큰 것으로 분석되었으며, Gulpur 댐의 경우는 운영기간을 5일로 설정하는 것이 안정한 하상상태를 유지하는 것으로 검토되었다.

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Estimation of Annual Power Generation by Long-Term Runoff Simulation for Potential Dam Development Site in North Korea (북한지역 댐 개발 가능유역에 대한 장기유출 모의를 통한 연간발생전력량 추정)

  • Kwon, Minsung;Ahn, Jae-Hyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.196-196
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    • 2018
  • 북한의 에너지 공급은 석탄과 수력 위주로 구성되어 있지만, 수력이 북한 발전량의 약 63%를 차지할 만큼 비중이 높다. 북한은 지리적으로 수력발전 개발에 많은 이점을 가지고 있는 만큼 북한 수자원 개발 사업에 진출하거나, 통일을 대비하기 위해 댐 개발 가능지역에 대한 검토가 필요하다. 본 연구에서는 댐 개발이 가능한 북한지역의 33개 유역에 대해 SWAT 모형을 활용하여 장기유출 모의를 수행하였다. 북한지역에 대한 직접적인 자료 획득이 어려운 현실에서 장기유출 모의를 위해 수치표고자료는 일본우주항공연구개발기구(JAXA)에서 제공하는 30 m DEM을 활용하였으며, 기상자료는 북한이 세계기상기구(WMO)에 제공한 자료를 이용하였고, 토지이용 및 토양 자료는 WaterBase에서 제공하는 자료를 활용하였다. 1988년부터 2017년 까지 30년간의 일 유출량을 모의하였으며, 연간발전가능량 계산을 위한 사용수량은 해당 유역의 풍수량을 사용하였으며, 수차효율과 발전기효율의 합성효율은 댐 설계기준에서 제시한 계획단계의 85%를 적용하였다. 유효낙차와 발전능률은 기존 연구에서 제시한 92%와 66%를 적용하였다. 본 연구에서 추정한 북한 지역의 개발 가능한 댐의 연간발생전력량은 향후 수자원분야의 북한 진출을 위한 기초자료로 활용될 수 있을 것이다.

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Time Series Forecast of Maximum Electrical Power using Lyapunov Exponent (Lyapunov 지수를 이용한 전력 수요 시계열 예측)

  • Choo, Yeongyu;Park, Jae-hyeon;Kim, Young-il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.171-174
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    • 2009
  • Generally the neural network and the fuzzy compensative algorithm are applied to forecast the time series for power demand with a characteristic of non-linear dynamic system, but it has a few prediction errors relatively. It also makes long term forecast difficult for sensitivity on the initial condition. On this paper, we evaluate the chaotic characteristic of electrical power demand with analysis methods of qualitative and quantitative and perform a forecast simulation of electrical power demand in regular sequence, attractor reconstruction, time series forecast for multi dimension using Lyapunov exponent quantitatively. We compare simulated results with the previous method and verify that the purpose one being more practice and effective than it.

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River Water Level Prediction Method based on LSTM Neural Network

  • Le, Xuan Hien;Lee, Giha
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.147-147
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    • 2018
  • In this article, we use an open source software library: TensorFlow, developed for the purposes of conducting very complex machine learning and deep neural network applications. However, the system is general enough to be applicable in a wide variety of other domains as well. The proposed model based on a deep neural network model, LSTM (Long Short-Term Memory) to predict the river water level at Okcheon Station of the Guem River without utilization of rainfall - forecast information. For LSTM modeling, the input data is hourly water level data for 15 years from 2002 to 2016 at 4 stations includes 3 upstream stations (Sutong, Hotan, and Songcheon) and the forecasting-target station (Okcheon). The data are subdivided into three purposes: a training data set, a testing data set and a validation data set. The model was formulated to predict Okcheon Station water level for many cases from 3 hours to 12 hours of lead time. Although the model does not require many input data such as climate, geography, land-use for rainfall-runoff simulation, the prediction is very stable and reliable up to 9 hours of lead time with the Nash - Sutcliffe efficiency (NSE) is higher than 0.90 and the root mean square error (RMSE) is lower than 12cm. The result indicated that the method is able to produce the river water level time series and be applicable to the practical flood forecasting instead of hydrologic modeling approaches.

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An autonomous control framework for advanced reactors

  • Wood, Richard T.;Upadhyaya, Belle R.;Floyd, Dan C.
    • Nuclear Engineering and Technology
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    • v.49 no.5
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    • pp.896-904
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    • 2017
  • Several Generation IV nuclear reactor concepts have goals for optimizing investment recovery through phased introduction of multiple units on a common site with shared facilities and/or reconfigurable energy conversion systems. Additionally, small modular reactors are suitable for remote deployment to support highly localized microgrids in isolated, underdeveloped regions. The long-term economic viability of these advanced reactor plants depends on significant reductions in plant operations and maintenance costs. To accomplish these goals, intelligent control and diagnostic capabilities are needed to provide nearly autonomous operations with anticipatory maintenance. A nearly autonomous control system should enable automatic operation of a nuclear power plant while adapting to equipment faults and other upsets. It needs to have many intelligent capabilities, such as diagnosis, simulation, analysis, planning, reconfigurability, self-validation, and decision. These capabilities have been the subject of research for many years, but an autonomous control system for nuclear power generation remains as-yet an unrealized goal. This article describes a functional framework for intelligent, autonomous control that can facilitate the integration of control, diagnostic, and decision-making capabilities to satisfy the operational and performance goals of power plants based on multimodular advanced reactors.

Indefinite sustainability of passive residual heat removal system of small modular reactor using dry air cooling tower

  • Na, Min Wook;Shin, Doyoung;Park, Jae Hyung;Lee, Jeong Ik;Kim, Sung Joong
    • Nuclear Engineering and Technology
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    • v.52 no.5
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    • pp.964-974
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    • 2020
  • The small modular reactors (SMRs) of the integrated pressurized water reactor (IPWR) type have been widely developed owing to their enhanced safety features. The SMR-IPWR adopts passive residual heat removal system (PRHRS) to extract residual heat from the core. Because the PRHRS removes the residual heat using the latent heat of the water stored in the emergency cooldown tank, the PRHRS gradually loses its cooling capacity after the stored water is depleted. A quick restoration of the power supply is expected infeasible under station blackout accident condition, so an advanced PRHRS is needed to ensure an extended grace period. In this study, an advanced design is proposed to indirectly incorporate a dry air cooling tower to the PRHRS through an intermediate loop called indefinite PRHRS. The feasibility of the indefinite PRHRS was assessed through a long-term transient simulation using the MARS-KS code. The indefinite PRHRS is expected to remove the residual heat without depleting the stored water. The effect of the environmental temperature on the indefinite PRHRS was confirmed by parametric analysis using comparative simulations with different environmental temperatures.

Challenges and Strategies in Medical Education in the COVID-19 Pandemic (COVID-19 팬데믹에서 나타난 의학교육의 과제와 전략)

  • Im, Sunju
    • Korean Medical Education Review
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    • v.23 no.3
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    • pp.154-159
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    • 2021
  • The coronavirus disease 2019 (COVID-19) pandemic has profoundly impacted all aspects of undergraduate, postgraduate, and continuing medical education. Only the focus of medical education-care for patients and communities-has remained an integral part of all of the above sectors. Several challenges have been experienced by learners and educators as the education and training of future doctors has continued in the midst of this crisis, including the cancellation of face-to-face classes and training, reduced patient encounter opportunities, fairness issues in online assessments, disruption of patient interview-based exams, reflections on the role of doctors in society, and mental health-related problems linked to isolation and concerns about infection. In response to these disruptions, educators and institutions have rapidly deployed educational innovations. Schools have adopted educational strategies to overcome these challenges by implementing novel education delivery methods in an online format, providing clinical experiences through simulation or telehealth methods, introducing online assessment tools with formative purposes, encouraging learners' involvement in nonclinical activities such as community service, and making available resources and programs to sustain learners' mental health and wellness. During the COVID-19 pandemic, educators and institutions have faced drastic changes in medical education worldwide. At the same time, the quantitative expansion of online education has caused other problems, such as the lack of human collaboration. The long-term effects of the COVID-19 pandemic on medical education need to be studied further.

Structural stability analysis of waste packages containing low- and intermediate-level radioactive waste in a silo-type repository

  • Byeon, Hyeongjin;Jeong, Gwan Yoon;Park, Jaeyeong
    • Nuclear Engineering and Technology
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    • v.53 no.5
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    • pp.1524-1533
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    • 2021
  • The structural stability of a waste package is essential for containing radioactive waste for the long term in a repository. A silo-type disposal facility would require more severe verification for the structural integrity, because of radioactive waste packages staked with several tens of meters and overburdens of crushed rocks and shotcretes. In this study, structural safety was analyzed for a silo-type repository, located approximately 100 m below sea level in Gyeongju, Korea. Finite element simulation was performed to investigate the influence of the loads from the backfilling materials and waste package stacks on the mechanical stress of the disposed of wastes and containers. It was identified that the current design of the waste package and the compressive strength criterion for the solidified waste would not be enough to maintain structural stability. Therefore, an enhanced criterion for the compressive strength of the solidified waste and several reinforced structural designs for the disposal concrete container were proposed to prevent failure of the waste package based on the results of parametric studies.