• 제목/요약/키워드: Plant modeling

검색결과 899건 처리시간 0.028초

석탄화력발전소 보일러 연소계통의 모델개발에 관한 연구 (A Stduy on Model Development of Boiler Combustion System on Coal Fired Power Plant)

  • 문채주;김용구;정환주
    • 조명전기설비학회논문지
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    • 제18권3호
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    • pp.65-73
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    • 2004
  • 석탄화력발전소의 보일러계통은 구성기기 사이에 수많은 상호관계를 갖는 대규모, 비선형 계통이다. 이러한 복잡한 계통의 해석에서 동특성 모의는 대규모 상호관계를 지속적으로 추적하는 강력한 방법으로 인식되고 있다. 보일러계통은 공기/가스 시스템과 물/증기 시스템으로 구성된다. 보일러의 오염물질 배출에 관한 최근 환경규제의 강화와 보일러의 물성치에 대한 설게 검증 요건 때문에 상업용 프로그램이 보일러 계통의 해석에 사용된다. 이 논문에서는 모의 도구로써 EPRI(미국전기연구소)에서 개발한 MMS를 사용하여 모델개발을 논의하였다. MMS에서 사용하여 개발된 모델은 한국표준석탄화력발전소의 보일러 연소계통에 대한 설계 및 현장데이터를 시험하였다. 개발된 모델은 정상상태 및 천이상태 조건에서 ${\pm}$5% 이내로 연소계통이 잘 응답하는 것으로 결과에서 보여준다. 이 논문에서 연소계통의 해석에 대한 개발된 모델은 일반적일고, 어떤 형식의 석탄호력발전소에도 적용이 가능하다.

발전소 동적 성능분석에 관한 연구 (A Study of MMS Computer Program for Dynamic Analysis of Power Plant)

  • 홍용표;곽병엽;윤명열
    • 에너지공학
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    • 제2권1호
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    • pp.28-37
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    • 1993
  • 기술업무의 효율적인 수행과 신뢰성을 확보하기 위하여 우리회사에서는 전산프로그램을 개발하거나 도입하여 설계 및 분석능력의 배양을 통한 조속한 기술자립과 보유 전산프로그램의 활용 극대화로 경제성 증진을 도모하고 있다. 이런 점에서 발전소 운전상황의 변화로 야기되는 중장기 과도현상을 효율적이며 보다 쉽게 수행하기 위해 미국의 EPRI에서 개발한 전산프로그램 MMS를 도입하였다. 본고에서는 MMS를 이용하여 영광 3, 4호 계통과 기기설계값 및 제어개념을 반영한 1,000 MWe 급 원전의 동적성능 분석용 표준모델을 작성하고, 응용기법과 절차를 확립하기 위해 최대 보증정격 운전중 10% 계단 부하 감발운전모드를 사례연구로 수행하여 해석사례와 분석의견을 수록하였다. 작성된 표준모델에는 증기발생기를 포함한 2차측 전체계통의 주요기기와 제어계통이 반영되어 있으므로 계통구성이나 발전출력이 다른 발전소라 하더라도 개발된 모델에 부분적인 수정 및 보완으로 손쉽게 동적성능 분석을 수행할 수 있으리라 판단된다.

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상시감시기술에서 SVR과 PLSR을 이용한 Auto-association 모델링 및 성능비교 (Modeling and Comparison for Auto-association using Support Vector Regression (SVR) and Partial Least Square Regression (PLSR) in Online Monitoring Techniques)

  • 김성준;서인용
    • 한국지능시스템학회논문지
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    • 제20권4호
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    • pp.483-488
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    • 2010
  • 센서시스템을 이용한 상시감시는 발전소의 효율적인 운전과 안전을 담보하는 데 필수적이다. 상시감시기술을 구현하기 위해서는 우선 센서로부터 전송된 신호로부터 발전소 운전파라미터의 참값을 예측하는 모델 즉 Auto-association (AA) 모델을 확보하는 것이 중요하다. 이를 위해 본 논문에서는 Support Vector Regression (SVR)과 Partial Least Square Regression (PLSR)을 이용하는 방안을 각각 제시한다. 이렇게 해서 구축된 모델은 모니터해야 할 파라미터가 많을 때에도 쉽게 적용할 수 있다. 실제 발전소에서 수집된 데이터셋을 이용하여 AA 모델링의 정확도 및 민감도를 비교한 결과, 정확도 면에서는 SVR이 우수한 반면 민감도 면에서는 PLSR이 다소 나은 것으로 나타났다.

Investigating the acceptance of the reopening Bataan nuclear power plant: Integrating protection motivation theory and extended theory of planned behavior

  • Ong, Ardvin Kester S.;Prasetyo, Yogi Tri;Salazar, Jose Ma Luis D.;Erfe, Justine Jacob C.;Abella, Arving A.;Young, Michael Nayat;Chuenyindee, Thanatorn;Nadlifatin, Reny;Redi, Anak Agung Ngurah Perwira
    • Nuclear Engineering and Technology
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    • 제54권3호
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    • pp.1115-1125
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    • 2022
  • Nuclear power plant (NPP) is currently considered as one of the most reliable power sources. However, 182 of them are considered decommissioned and inactive including the one in Bataan, Philippines. The aim of this study was to investigate the acceptance of the reopening of Bataan Nuclear Power Plant (BNPP) by integrating the Theory of Planned Behavior and Protection Motivation Theory. A total of 815 Filipinos answered an online questionnaire which consisted of 37 questions. The Structural Equation Modeling (SEM) indicated that knowledge towards nuclear power plants was the key factor in determining people's acceptance towards NPP reopening. In addition, knowing the benefits would lead to positive perceived behavioral control (PBC) and attitude towards intention. Results showed that PBC and attitude are mediators towards the acceptance of people regarding the reopening of BNPP. If an individual's knowledge gravitates towards the perceived risk, then this can lead to the negative acceptance of the NPP reopening. On the other hand, if an individual's knowledge gravitates towards the perceived benefits, then this will lead to positive acceptance. This study is the first study that explored the acceptance of the reopening BNPP. Finally, the study's model construct would also be very beneficial for researchers, government, and even private sectors worldwide.

LQG/LTR 방법을 이용한 터렛 서보시스템의 강인한 제어기 설계 (A Design of Robust Controller for the Turret Servo System Using LQG/LTR Method)

  • 김종화;허남수;이만형
    • 한국정밀공학회지
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    • 제6권2호
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    • pp.88-97
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    • 1989
  • In general turret servo system is subject to influnces by disturbances and uncertain modeling errors, which result from large dynamic characteristics and high-spedd operation. In this paper the influences of such disturbances and modeling errors are analyzed quali- tatively for the linerar approximation model of turret servo system, and then LQG/LTR control theory is applied to linear approximation model in order to design a controller which satisfies robustness/stability for the modeling errors. Finally the performance and robustness of designed controller for the given plant are verified through the simulation.

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수치 해석을 통한 자기 베어링 시스템의 모델링에 관한 연구 (A Study on Modeling for the Magnetic Bearing System by Numerical Analysis)

  • 심성효;최명수;김창화;문덕홍;양주호
    • 동력기계공학회지
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    • 제5권4호
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    • pp.53-60
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    • 2001
  • This paper considers a modeling for the MIMO magnetic bearing system. The rotor is flexible and has a complex shape. To obtain the nominal plant transfer functions, we perform a numerical analysis by using the finite element method(F.E.M.) for the rotor's dynamics, and make a nominal model by reducing the modes from the results. And, we have experimented on the frequency response by a closed-loop identification method, and compared it with the simulation's result on the closed-loop control system.

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수력 발전기 제어시스템의 계자상실 모델링과 시뮬레이션 (Modeling and Simulation of Loss of Excitation of Hydro Generator Control System)

  • 박철원
    • 전기학회논문지P
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    • 제63권2호
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    • pp.74-80
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    • 2014
  • Generator protection device has to detects an internal fault conditions in generator and abnormal operating conditions must be due to the hazards. Loss of excitation may cause generator itself failure as well as serious operating problem in power system, and then requires an appropriate response of generator protection device. Details modeling of generator control system and analysis of transient states in generator are important for optimal operation in power plants. In addition, the fault simulation data are also used for testing the characteristics of IED. In this paper, the hydro generator control system using PSCAD/EMTDC, visual simulation for power systems, was modeled. The generator control system which is composed of generator, turbine, exciter, governor was implemented. The parameters of generator control system model were obtained from field power plant. Loss of excitation simulations were performed while varying the fixed load. Several signals analysis were also performed so as to analyze transients phenomena.

제철 소결공정에 대한 단입자 연소 모델의 응용 (Application of Intra-particle Combustion Model for Iron Ore Sintering Bed)

  • 양원;최상민;진홍종
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2006년도 제32회 KOSCO SYMPOSIUM 논문집
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    • pp.181-188
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    • 2006
  • Operation parameters for large scale industrial facility such as iron making plant are carefully selected through elaborate tests and monitoring rather than through a mathematical modeling. One of the recent progresses for better energy utilization in iron ore sintering process is the distribution pattern of fuel inside a macro particle which is formed with fines of iron ore, coke and limestone. Results of model tests which have been used as a basis for the improved operation in the field are introduced and a theoretical modeling study is presented to supplement the experiment-based approach with fundamental arguments of physical modeling, which enables predictive computation beyond the limited region of tests and adjustment. A single fuel particle model along with one-dimensional bed combustion model of solid particles are utilized, and thermal processes of combustion and heat transfer are found to be dominant consideration in the discussions of productivity and energy utilization in the sintering process.

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7자유도 센서차량모델 제어를 위한 비선형신경망 (Nonlinear Neural Networks for Vehicle Modeling Control Algorithm based on 7-Depth Sensor Measurements)

  • 김종만;김원섭;신동용
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2008년도 하계학술대회 논문집 Vol.9
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    • pp.525-526
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    • 2008
  • For measuring nonlinear Vehicle Modeling based on 7-Depth Sensor, the neural networks are proposed m adaptive and in realtime. The structure of it is similar to recurrent neural networks; a delayed output as the input and a delayed error between the output of plant and neural networks as a bias input. In addition, we compute the desired value of hidden layer by an optimal method instead of transfering desired values by backpropagation and each weights are updated by RLS(Recursive Least Square). Consequently, this neural networks are not sensitive to initial weights and a learning rate, and have a faster convergence rate than conventional neural networks. This new neural networks is Error Estimated Neural Networks. We can estimate nonlinear models in realtime by the proposed networks and control nonlinear models.

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3차원 유한요소해석을 이용한 엘보우의 감육 결함 특성 평가 (Evaluation on Failure Characteristics of the Local Wall Thinning Elbows Using Three Dimensional Finite Element Analysis)

  • 김태순;박치용;김진원;박재학
    • 한국안전학회지
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    • 제18권3호
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    • pp.39-45
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    • 2003
  • The failure mode of a pipe due to local wall thinning is increasingly more attention in the nuclear power plant industry. To assess the integrity of locally wall thinned pipe, it is necessary to perform many simulations under various conditions. Because the modeling for locally wall thinned elbow is more complicated than that of straight pipe the efficient modeling method for finite element analysis is necessary. In this study, the more simple efficient modeling method of three-dimensional finite element analysis for locally wall thinned elbow has been suggested and verified. And using the method, the failure mode of local wall thinned elbows that have different thinning lengths and circumferential angles is evaluated. From the results, we concluded that the collapse load of elbows has been decreased by the increase of wall thinning shape factors such as thinning lengths and circumferential angles.