• Title/Summary/Keyword: Plant process modeling

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A Model of the Operator Cognitive Behaviors During the Steam Generator Tube Rupture Accident at a Nuclear Power Plant

  • Mun, J.H.;Kang, C.S.
    • Nuclear Engineering and Technology
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    • v.28 no.5
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    • pp.467-481
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    • 1996
  • An integrated framework of modeling the human operator cognitive behavior during nuclear power plant accident scenarios is presented. It incorporates both plant and operator models. The basic structure of the operator model is similar to that of existing cognitive models, however, this model differs from those existing ones largely in too aspects. First, using frame and membership function, the pattern matching behavior, which is identified as the dominant cognitive process of operators responding to an accident sequence, is explicitly implemented in this model. Second, the non-task-related human cognitive activities like effect of stress and cognitive biases such as confirmation bias and availability bias, are also considered. A computer code, OPEC is assembled to simulate this framework and is actually applied to an SGTR sequence, and the resultant simulated behaviors of operator are obtained.

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The Simulation of Boiler System for HADONG Fossil Power Plant

  • Choi, Jin-Ho;Ma, Sam-Sun;Lee,Yong-Kwan
    • Proceedings of the Korea Society for Simulation Conference
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    • 1999.10a
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    • pp.56-61
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    • 1999
  • The Simulation of Boiler System for Hadong Fossil power plant has been made by Korea Electric Power Research Institute (KERRI) in an attempt to develop Windown NT based full scope replica simulator for Hadong Fossil power plant, 500MWe once-through boiler. In the project KERRI developed Once Through, Super Critical type Boiler System, the core part of the Simulation and integrated the system with other process systems such as BOP System, and AUX System. This paper is to introduce the basic concept of the simulation for the Boiler System. It will also introduce PRO-TRAX System, for used as a modeling tool.

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System identification method for the auto-tuning of power plant control system with time delay (시간지연을 가진 발전소 제어시스템의 자동동조를 위한 System identification 방법)

  • 윤명현;신창훈;박익수
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1008-1011
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    • 1996
  • Most control systems of power plants are using classical PID controllers for their process control. In order to get the desired control performances, the correct tuning of PID controllers is very important. Sometimes, it is necessary to retune PID controllers after the change of system operating condition and system design change, etc. Commercial auto-tuning controllers such as relay feedback controller can be used for this purpose. However, using these controllers to the safety-critical systems of nuclear power plants may be cause of unsafe operation, because they are using test signals for tuning. A new system identification auto-tuning method without using test signal has been developed in this paper. This method uses process input/output signals for system identification of unknown control process. From the model information of control process which was obtained from system identification approach, the optimal PID parameters can be calculated. The method can be used in the safety-critical systems because it is not using test signals during system modeling process.

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Development of Plant BIM Library according to Object Geometry and Attribute Information Guidelines (객체 형상 및 속성정보 지침에 따른 수목 BIM 라이브러리 개발)

  • Kim, Bok-Young
    • Journal of the Korean Institute of Landscape Architecture
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    • v.52 no.2
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    • pp.51-63
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    • 2024
  • While the government policy to fully adopt BIM in the construction sector is being implemented, the construction and utilization of landscape BIM models are facing challenges due to problems such as limitations in BIM authoring tools, difficulties in modeling natural materials, and a shortage in BIM content including libraries. In particular, plants, fundamental design elements in the field of landscape architecture, must be included in BIM models, yet they are often omitted during the modeling process, or necessary information is not included, which further compromises the quality of the BIM data. This study aimed to contribute to the construction and utilization of landscape BIM models by developing a plant library that complies with BIM standards and is applicable to the landscape industry. The plant library of trees and shrubs was developed in Revit by modeling 3D shapes and collecting attribute items. The geometric information is simplified to express the unique characteristics of each plant species at LOD200, LOD300, and LOD350 levels. The attribute information includes properties on plant species identification, such as species name, specifications, and quantity estimation, as well as ecological attributes and environmental performance information, totaling 24 items. The names of the files were given so that the hierarchy of an object in the landscape field could be revealed and the object name could classify the plant itself. Its usability was examined by building a landscape BIM model of an apartment complex. The result showed that the plant library facilitated the construction process of the landscape BIM model. It was also confirmed that the library was properly operated in the basic utilization of the BIM model, such as 2D documentation, quantity takeoff, and design review. However, the library lacked ground cover, and had limitations in those variables such as the environmental performance of plants because various databases for some materials have not yet been established. Further efforts are needed to develop BIM modeling tools, techniques, and various databases for natural materials. Moreover, entities and systems responsible for creating, managing, distributing, and disseminating BIM libraries must be established.

Post-Chlorination Process Control based on Flow Prediction by Time Series Neural Network in Water Treatment Plant

  • Lee, HoHyun;Shin, GangWook;Hong, SungTaek;Choi, JongWoong;Chun, MyungGeun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.3
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    • pp.197-207
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    • 2016
  • It is very important to maintain a constant chlorine concentration in the post chlorination process, which is the final step in the water treatment process (hereafter WTP) before servicing water to citizens. Even though a flow meter between the filtration basin and clear well must be installed for the post chlorination process, it is not easy to install owing to poor installation conditions. In such a case, a raw water flow meter has been used as an alternative and has led to dosage errors due to detention time. Therefore, the inlet flow to the clear well is estimated by a time series neural network for the plant without a measurement value, a new residual chlorine meter is installed in the inlet of the clear well to decrease the control period, and the proposed modeling and controller to analyze the chlorine concentration change in the well is a neuro fuzzy algorithm and cascade method. The proposed algorithm led to post chlorination and chlorination improvements of 1.75 times and 1.96 times respectively when it was applied to an operating WTP. As a result, a hygienically safer drinking water is supplied with preemptive response for the time delay and inherent characteristics of the disinfection process.

Design of Type-2 Radial Basis Function Neural Networks Modeling for Sewage Treatment Process (하수처리 공정을 위한 Type-2 RBF Neural Networks 모델링 설계)

  • Lee, Seung-Cheol;Kwun, Hak-Joo;Oh, Sung-Kwun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.10
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    • pp.1469-1478
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    • 2015
  • In this paper, The methodology of Type-2 fuzzy set-based Radial Basis Function Neural Network(T2RBFNN) is proposed for Sewage Treatment Process and the simulator is developed for application to the real-world sewage treatment plant by using the proposed model. The proposed model has robust characteristic than conventional RBFNN. architecture of network consist of three layers such as input layer, hidden layer and output layer of RBFNN, and Type-2 fuzzy set is applied to receptive field in contrast with conventional radial basis function. In addition, the connection weights of the proposed model are defined as linear polynomial function, and then are learned through Back-Propagation(BP). Type reduction is carried out by using Karnik and Mendel(KM) algorithm between hidden layer and output layer. Sewage treatment data obtained from real-world sewage treatment plant is employed to evaluate performance of the proposed model, and their results are analyzed as well as compared with those of conventional RBFNN.

Design of a Fuzzy Logic Controller Using Response Surface Methodology (반응표면분석법을 이용한 퍼지제어기 설계)

  • 이세헌
    • Journal of the Korean Institute of Intelligent Systems
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    • v.9 no.6
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    • pp.591-597
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    • 1999
  • When fuzzy logic controllers which are designed based on plant models and intuitive base are applied to real plants, the control systems may not give satisfactory control results due to the modeling error and the lack of knowledge on the plants. In that case. the controller must be retuned by adjusting the control parameters; this retuning process may require a large number of trial-and-error evaluations and thus much time and cost. In order to resolve these problems, we propose a systematic and efficient procedure for designing a fuzzy logic controller using response surface methodology. First wc select the initial optimal conditions of control parameters using a genetic algorithm, in which a nominal plant model with intrinsic modeling errors is used. And then we determine the tinal optimal conditions of the control parameters using response surface methodology. Computer simulations are performed to verify the capability of the proposed method.

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Reclaimer Control: Modeling , Parameter Estimation, and a Robust Smith Predictor Design (원료채집기의 제어: 모델링, 계수추정, 견실한 스미스 예측기의 설계)

  • Kim, Sung-Hoon;Hong, Keum-Shik;Kang, Dong-Hunn
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.8
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    • pp.923-931
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    • 1999
  • In this paper, a modeling and a robust time-delay control for the reclaimer are investigated. Supplying the same amount of a raw material throughout the reclamation process from the raw yard to a sinter plant is important to keep the quality of the molten steel uniform in blast furnaces. As the actual parameter values of the reclaimer are not available, the boom rotational dynamics are modeled as a second order differential equation with unknown coefficients. The unknown parameters in the nominal model are estimated using a recursive estimation method. Another important factor in the control design of the reclaimer is the large time-delay in output measurement. Assuming a multiplicative uncertainty, that accounts for both the unstructured uncertainty neglected in the modeling and the structured uncertainty contained in the parameter estimation, a robust Smith predictor is designed. A robust stability criterion for the multiplicative uncertainty is also derived. Following the work of Goodwin et al. [4], a quantifying procedure of the multiplicative uncertainty bound, through experiments , is described. Experimental and simulation results are provided.

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A Study on Improvement of Architectural Design Process on the Interface in Designing of Power Plant (발전플랜트 설계 인터페이스 중심의 건축설계절차 개선에 관한 연구)

  • Lee, Gang-Ok;Kim, Da-Hee
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.1
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    • pp.9-15
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    • 2020
  • The cooperation with other work types and designing procedure in plant industry and engineering showed clear differences from general construction industries. Current problems are that design's consistency is reduced because of the false system of interface and it ultimately causes frequency changes of design and delayed submission of final book. To solve the problems, the improvements of designing procedure were studied by focusing on the field of architectural designing and the range was limited from power plant construction industry to engineering designing field. If combining GA with the field of architectural designing and receiving data previously, it's possible to conduct expectable designing on small changes in the future, so it's expected to improve greatly cooperation with interface among the work types of power plant engineering received previously from the aspect of consistency. For the application of designing tool, a checklist, interim check will be conducted if progressed by list's division in the designing procedure, not book's completing period. In the interface among the designing work types, direct confirmation and revision must be conducted. In case of 3D modeling, the reflection of input data must be conducted from the basic designing so as to solve interferences intensively.

Combustion Modeling of Vacuum Residue Fuel Sprays (잔사유 분무 연소 해석에 관한 연구)

  • Choi, Chan-Ho;Huh, Kang-Y.
    • 한국연소학회:학술대회논문집
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    • 2004.06a
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    • pp.207-214
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    • 2004
  • Extra heavy vacuum residue oil has advantage as the fuel of a power plant in reducing the cost of power generation. Numerical study is conducted by the KIVA code to understand combustion, heat transfer and flow field characteristics in the test reactor. The combustion model of pulverized coal particles is adopted as the combustion process of extra heavy oil is similar to that of coal. As an initial phase of investigation parametric study is performed with respect to SMD and spray angle of injected spray droplets.

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