Modeling and Analysis of Gas Turbine Performance Deterioration

Lakshminarasimha, A. N.; Boyce, Meherwan P.; Meher-Homji, Cyrus B.

doi:10.1115/1.2906808

Cited by 90 publications

(42 citation statements)

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“…Details on gas turbine degradation and detection methods are presented by Saravanamuttoo and Lakshminarasimha (1985) and Diakunchak (1991Diakunchak ( , 1993. Modeling details of gas turbine performance deterioration may be found in Lakshminarasimha, et al (1994). Williams (1981) has detailed the common performance related faults in pipeline applications.…”

Section: Other Sources Of Deteriorationmentioning

confidence: 99%

Gas turbine performance deterioration

Verlo¹

2007

Industrial Gas Turbines

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With privatization and intense competition in the utility and petrochemical industry, there is a strong incentive for gas turbine operators to minimize and control performance deterioration, as this directly affects profitability. The area of gas turbine recoverable and nonrecoverable performance deterioration is comprehensively treated in this paper. Deterioration mechanisms including compressor and turbine fouling, erosion, increased clearances, and seal distress are covered along with their manifestations, rules of thumb, and mitigation approaches. Permanent deterioration is also covered. Because of the importance of compressor fouling, gas turbine inlet filtration, fouling mechanisms, and compressor washing are covered in detail. Approaches for the performance monitoring of steady-state and transient behavior are presented along with simulations of common deterioration modes of gas turbine combined cycles. As several gas turbines are used in cogeneration and combined cycles, a brief discussion of heat recovery steam generator performance monitoring is made. INTRODUCTIONWith the introduction of high performance gas turbines and increasing fuel costs, maintaining of the highest efficiency in gas

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Section: Other Sources Of Deteriorationmentioning

confidence: 99%

Gas turbine performance deterioration

Verlo¹

2007

Industrial Gas Turbines

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“…The deviation of engine component parameters can be calculated using a fault matrix (or diagnostic matrix) which is the inverse of the influence coefficient matrix H: (3) The inverse of the influence coefficient matrix is referred to as "Fault Coefficient Matrix" (FCM) [35].…”

Section: Gas Path Analysis (Gpa) Methodsmentioning

confidence: 99%

“…Breakdown or deterioration of components or parts strongly influences the aircraft operation [1][2][3][4][5]. Recently third generation predictive maintenance based on engine operating condition has been developed instead of the second generation preventive maintenance.…”

Section: Introductionmentioning

confidence: 99%

Review on Advanced Health Monitoring Methods for Aero Gas Turbines using Model Based Methods and Artificial Intelligent Methods

Kong¹

2014

International Journal of Aeronautical and Space Sciences

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The aviation gas turbine is composed of many expensive and highly precise parts and operated in high pressure and temperature gas. When breakdown or performance deterioration occurs due to the hostile environment and component degradation, it severely influences the aircraft operation. Recently to minimize this problem the third generation of predictive maintenance known as condition based maintenance has been developed. This method not only monitors the engine condition and diagnoses the engine faults but also gives proper maintenance advice. Therefore it can maximize the availability and minimize the maintenance cost. The advanced gas turbine health monitoring method is classified into model based diagnosis (such as observers, parity equations, parameter estimation and Gas Path Analysis (GPA)) and soft computing diagnosis (such as expert system, fuzzy logic, Neural Networks (NNs) and Genetic Algorithms (GA)). The overview shows an introduction, advantages, and disadvantages of each advanced engine health monitoring method. In addition, some practical gas turbine health monitoring application examples using the GPA methods and the artificial intelligent methods including fuzzy logic, NNs and GA developed by the author are presented.

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“…This phenomenon can lead to a decreased surge margin [22,23] and reduced efficiency as well as total flow rate of the compressor [15-18, 22, 24-26]. But fouling is usually recoverable to some extent [15,17,18,25,27]. The turbine efficiency decreases due to fouling or erosion [16,26].…”

Section: Introductionmentioning

confidence: 99%

“…The most common cause of performance deterioration in a conventional GTPP is compressor fouling [15][16][17][18][19][20][21]. This phenomenon can lead to a decreased surge margin [22,23] and reduced efficiency as well as total flow rate of the compressor [15-18, 22, 24-26].…”

Section: Introductionmentioning

confidence: 99%

Simulation of a mixed-conducting membrane-based gas turbine power plant for CO2 capture: system level analysis of operation stability and individual process unit degradation

Colombo

Хартон

Viskup

et al. 2010

J Solid State Electrochem

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A gas turbine power plant for CO 2 capture, based on oxygen-permeable membranes with mixed ionicelectronic conductivity, was analysed with respect to longterm stability by means of numerical simulation. Due to the attractive transport and physicochemical properties of mixed-conducting La 2 NiO 4+δ , this nickelate was selected as a prototype membrane material for this application. Experiments showed very slow degradation of La 2 NiO 4+δ membranes at oxygen chemical potentials close to atmospheric conditions, which are associated with kinetic demixing and other microstructure-related factors. Interaction with CO 2 in the intermediate temperature range also leads to lower oxygen permeation, whilst increasing oxygen pressure may cause partial phase decomposition and microstructural changes, thus again limiting the range of possible operation conditions. The relevant operational constraints were included in a detailed membrane-based gas turbine power plant model. The membrane performance degradation with time was approximated by a linear function with average rate of 3.3% per 1,000 operation hours. Furthermore, performance deterioration of the gas turbine compressor and turbine were also considered. Simulations revealed that the power plant is substantially affected by degradation of the ceramic membranes and turbomachinery components. The already rather small operating window was further narrowed when compared with a conventional gas turbine power plant. Two different designs of the membrane-based power plant were analysed: (1) with and (2) without additional combustors (afterburners) between the membrane reactor and the gas turbine. Afterburners increase thermal efficiency as well as power output, but also lead to non-negligible CO 2 emissions. In order to have a frame of comparison, results for a conventional gas turbine power plant with degradation of turbomachinery components are also presented. Simulations representing changes in ambient temperature and fuel composition as well as failure incidents were executed to analyse the susceptibility of the gas turbine power plant to external and internal changes.

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Modeling and Analysis of Gas Turbine Performance Deterioration

Cited by 90 publications

References 0 publications

Gas turbine performance deterioration

Gas turbine performance deterioration

Review on Advanced Health Monitoring Methods for Aero Gas Turbines using Model Based Methods and Artificial Intelligent Methods

Simulation of a mixed-conducting membrane-based gas turbine power plant for CO2 capture: system level analysis of operation stability and individual process unit degradation

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