• Title/Summary/Keyword: 터빈 모델

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A Development of EMAS (Easy Maintenance Assistance Solution) for Industrial Gas Turbine (산업용 가스터빈을 위한 정비지원 시스템 개발에 관한 연구)

  • Kang, Myoungcheol;Ki, Jayoung
    • Journal of the Korean Society of Propulsion Engineers
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    • v.21 no.3
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    • pp.91-100
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    • 2017
  • The solution was developed for the maintenance decision support of combined cycle power plant gas turbine. The developed solution was applied to MHI501G gas turbine and is, in present, on the process of field test at GUNSAN combined cycle power plant, South Korea. The developed solution provides the calculated result of optimal overhaul maintenance period through following modules: Real Time Performance Monitoring, Model-Based Diagnostics, Performance Trend Analysis, Optimal Overhaul Maintenance Interval, Compressor Washing Period Management, and Blade Path Temperature Analysis. Model-Based Diagnostics module analyzed the differences between the data of gas turbine performance model and the online measurement. Compressor washing management module suggests the optimal point of balancing between the compressor performance and the maintenance cost.

A Study of the Feature Classification and the Predictive Model of Main Feed-Water Flow for Turbine Cycle (주급수 유량의 형상 분류 및 추정 모델에 대한 연구)

  • Yang, Hac Jin;Kim, Seong Kun;Choi, Kwang Hee
    • Journal of Energy Engineering
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    • v.23 no.4
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    • pp.263-271
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    • 2014
  • Corrective thermal performance analysis is required for thermal power plants to determine performance status of turbine cycle. We developed classification method for main feed water flow to make precise correction for performance analysis based on ASME (American Society of Mechanical Engineers) PTC (Performance Test Code). The classification is based on feature identification of status of main water flow. Also we developed predictive algorithms for corrected main feed-water through Support Vector Machine (SVM) Model for each classified feature area. The results was compared to estimations using Neural Network(NN) and Kernel Regression(KR). The feature classification and predictive model of main feed-water flow provides more practical methods for corrective thermal performance analysis of turbine cycle.

Assessment of Offshore Wind Power Potential for Turbine Installation in Coastal Areas of Korea (터빈설치를 위한 한국 연안 해상풍력발전 부존량 평가)

  • Kang, Keum Seok;Oh, Nam Sun;Ko, Dong Hui;Jeong, Shin Taek;Hwang, Jae Dong
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.30 no.4
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    • pp.191-199
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    • 2018
  • In this paper, wind data at 20 locations are collected and analyzed in order to review optimal candidate site for offshore wind farm around Korean marginal seas. Observed wind data is fitted to Rayleigh and Weibull distribution and annual energy production is estimated according to wind frequency. As the model of wind turbine generator, seven kinds of output of 1.5~5 MW were selected and their performance curves were used. As a result, Repower-5 MW turbines showed high energy production at wind speeds of 7.15 m/s or higher, but G128-4.5 MW turbines were found to be favorable at lower wind speeds. In the case of Marado, Geojedo and Pohang, where the rate of occurrence of wind speeds over 10 m/s was high, the capacity factor of REpower's 5 MW offshore wind turbine was 56.49%, 50.92% and 50.08%, respectively.

Study on Performance and Optimal Operating Conditions of Regenerative Steam-Injection Gas Turbine Systems (증기분사 재생 가스터빈 시스템의 성능 및 최적 운전조건에 관한 연구)

  • Kim, Kyoung-Hoon;Kim, Dong-Joo;Park, Sang-Hee;Oh, Man-Soo;Kim, Dong-Myoung
    • Journal of the Korean Society of Propulsion Engineers
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    • v.14 no.1
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    • pp.29-39
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    • 2010
  • The system performance of the regenerative gas-turbine cycle with the steam injection into the combustor has been studied through the thermodynamic cyclic analysis. The effects of the pressure ratio, the steam injection ratio, the ambient temperature, and the turbine inlet temperature are investigated on the thermal efficiency, the fuel consumption, and the specific power as well as the operating conditions for the maximum thermal efficiency of the system. The results of the present analysis find that the use of steam injection in the regenerative gas-turbine system can greatly enhance the thermal efficiency and the specific power of the system.

A Study on Fault Detection of Off-design Performance for Smart UAV Propulsion System (스마트 무인기용 가스터빈 엔진의 탈설계 영역 구성품 손상 진단에 관한 연구)

  • Kong, Chang-Duk;Kho, Seong-Hee;Choi, In-Soo;Lee, Seung-Heon;Lee, Chang-Ho
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2007.04a
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    • pp.245-249
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    • 2007
  • In this study a model-based diagnostic method using the Neural Network was proposed for PW206C turbo shaft engine and performance model was developed by SIMULINK. Fault and test database to build the NN was obtained at various off-design operating range such as flight altitude, flight Mach number and gas generator rotational speed variation. According to the fault detection analysis results, it was confirmed that the proposed fault detection method could find well the fault of compressor, compressor turbine and power turbine at on-design point as well as off-design point conditions.

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Exergy Analysis of Regenerative Steam-Injection Gas Turbine Systems (증기분사 재생 가스터빈 시스템의 엑서지 해석)

  • Kim, Kyoung-Hoon;Jung, Young-Guan;Han, Chul-Ho
    • Journal of the Korean Society of Propulsion Engineers
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    • v.13 no.4
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    • pp.45-54
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    • 2009
  • An exergy analysis is carried out for the regenerative steam-injection gas turbine systems which has a potential of enhanced thermal efficiency and specific power. Using the analysis model in the view of the second law of thermodynamics, the effects of pressure ratio, steam injection ratio, ambient temperature and turbine inlet temperature are investigated on the performance of the system such as exergetic efficiency, heat recovery ratio of heat exchangers, exergy destruction, loss ratios, and on the optimal conditions for maximum exergy efficiency. The results of computation show that the regenerative steam-injection gas turbine system can make a notable enhancement of exergy efficiency and reduce irreversibilities of the system.

A Study on fault Detection of Off-design Performance for Smart UAV Propulsion System (스마트 무인기용 가스터빈 엔진의 탈설계 영역 구성품 손상 진단에 관한 연구)

  • Kong, Chang-Duk;Kho, Seong-Hee;Ki, Ja-Young;Lee, Chang-Ho
    • Journal of the Korean Society of Propulsion Engineers
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    • v.11 no.3
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    • pp.29-34
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    • 2007
  • In this study a model-based diagnostic method using the Neural Network was proposed for PW206C turbo shaft engine and performance model was developed by SIMULINK. Fault and test database to build the NN was obtained at various off-design operating range such as flight altitude, flight Mach number and gas generator rotational speed variation. According to the fault detection analysis results, it was confirmed that the proposed fault detection method could find well the fault of compressor, compressor turbine and power turbine at on-design point as well as off-design point conditions.

A Selection of Optimal Weighting matrix for Model Following Multivariable Control System to Boiler-Turbine Equipment Using GA (GA를 이용한 보일러-터빈 설비의 모델 추종형 다변수 제어 시스템 설계를 위한 취적 가중치 행렬의 선정)

  • 황현준;정호성
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.13 no.2
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    • pp.102-110
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    • 1999
  • The aim of this paper is to suggest a design method of the optimal model following control system using gerelic algoritlun (GA). This control system is designed by applying GA with reference model to the optimal determinination of weighting matrices Q, R that are given by LQ regulator prooblem. The method to do this is that all the diagooal elements of weighting matrices are optimized simultaneously by GA, in the search domain selected adequately. And, we design the mxiel following control system to boiler-turbine equipment by the proposed mothod. The model following control system designed by this mothod has the better command tracking perfannaoce than that of the control system designed by the trial-and-error method. The effectiveness of this cootrol System is verified by computer simulation.

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Combustion Instability Analysis Using Network Model in an Annular Gas Turbine Combustor (환형 가스터빈 연소기에서 네트워크 모델을 이용한 연소불안정 해석)

  • Pyo, Yeongmin;Yoon, Myunggon;Kim, Daesik
    • Journal of the Korean Society of Propulsion Engineers
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    • v.22 no.3
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    • pp.72-80
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    • 2018
  • Combustion instabilities are caused by the feedback relationship between heat release perturbations and acoustic pressure oscillations in the combustor. Studies on the combustion instability in an annular combustor have recently received great attention due to the enhanced NOx requirement in aero-engines. In this study, a thermoacoustic network model was developed in order to calculate the acoustic characteristics for various modes in the annular combustor. The network model is combined with flame transfer function(FTF) in order to calculate the stability of the combustor. Numerical results are compared with measurement data.

Simulation Modeling cnd Analysis of Pitch Controlled Variable Speed Wind Turbine System (피치제어형 가변속 풍력터빈 시스템의 시뮬레이션 모델링과 해석)

  • Kim, Eel-Hwan;Kang, Geong-Bo
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.2
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    • pp.124-130
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    • 2005
  • This paper presents the simulation modeling and analysis of variable wind speed turbine system(VWTS) using Psim program In the simulation, using the Vestas V47 VWTS located in Hangwon wind farm in Jeju-Do as a model, wind model, blade model, pitch control model and grided connected generator are modeled. The VWTS is controlled by the optimal pitch angle for maximum output power under the rated wind speed and for the rated output power over the rated wind speed. To verify the effectiveness of proposed method, simulation results are compared with the actual data from the model system According to the comparison of these results, this method shows excellent performance. So it is very useful for understanding and applications of wind power control system.