Modeling and Simulation of Twin-Shaft Industrial Gas Turbine of the Gas Compressor Station in the Middle East and Presentation of New Maintenance Planning Approach

2017 ◽  
Keyword(s):  
Middle East ◽  
Modeling And Simulation ◽  
Gas Turbine ◽  
Maintenance Planning ◽  
Compressor Station ◽  
Planning Approach ◽  
Industrial Gas Turbine

Development of L1-norm sliding mode observer for sensor fault diagnosis of an industrial gas turbine

2021 ◽  
pp. 095965182199617
Author(s):  
Mahyar Akbari ◽  
Abdol Majid Khoshnood ◽  
Saied Irani
Keyword(s):  
Fault Detection ◽  
State Space ◽  
Gas Turbine ◽  
Sliding Mode ◽  
State Space Model ◽  
Sensor Fault ◽  
Space Model ◽  
Decision Logic ◽  
Sensor Fault Detection ◽  
Industrial Gas Turbine

In this article, a novel approach for model-based sensor fault detection and estimation of gas turbine is presented. The proposed method includes driving a state-space model of gas turbine, designing a novel L1-norm Lyapunov-based observer, and a decision logic which is based on bank of observers. The novel observer is designed using multiple Lyapunov functions based on L1-norm, reducing the estimation noise while increasing the accuracy. The L1-norm observer is similar to sliding mode observer in switching time. The proposed observer also acts as a low-pass filter, subsequently reducing estimation chattering. Since a bank of observers is required in model-based sensor fault detection, a bank of L1-norm observers is designed in this article. Corresponding to the use of the bank of observers, a two-step fault detection decision logic is developed. Furthermore, the proposed state-space model is a hybrid data-driven model which is divided into two models for steady-state and transient conditions, according to the nature of the gas turbine. The model is developed by applying a subspace algorithm to the real field data of SGT-600 (an industrial gas turbine). The proposed model was validated by applying to two other similar gas turbines with different ambient and operational conditions. The results of the proposed approach implementation demonstrate precise gas turbine sensor fault detection and estimation.

Performance Prediction of Gas Turbine Under Different Strategies Using Low Heating Value Fuel

2013 ◽  
Author(s):  
Edson Batista da Silva ◽  
Marcelo Assato ◽  
Rosiane Cristina de Lima
Keyword(s):  
Natural Gas ◽  
Gas Turbine ◽  
Equivalence Ratio ◽  
Safe Operation ◽  
Engine Operation ◽  
Heating Value ◽  
Gasification Process ◽  
Surge Margin ◽  
And Performance ◽  
Industrial Gas Turbine

Usually, the turbogenerators are designed to fire a specific fuel, depending on the project of these engines may be allowed the operation with other kinds of fuel compositions. However, it is necessary a careful evaluation of the operational behavior and performance of them due to conversion, for example, from natural gas to different low heating value fuels. Thus, this work describes strategies used to simulate the performance of a single shaft industrial gas turbine designed to operate with natural gas when firing low heating value fuel, such as biomass fuel from gasification process or blast furnace gas (BFG). Air bled from the compressor and variable compressor geometry have been used as key strategies by this paper. Off-design performance simulations at a variety of ambient temperature conditions are described. It was observed the necessity for recovering the surge margin; both techniques showed good solutions to achieve the same level of safe operation in relation to the original engine. Finally, a flammability limit analysis in terms of the equivalence ratio was done. This analysis has the objective of verifying if the combustor will operate using the low heating value fuel. For the most engine operation cases investigated, the values were inside from minimum and maximum equivalence ratio range.

Electrical studies for an industrial gas turbine cogeneration facility

1989 ◽  
Vol 25 (4) ◽  
pp. 750-765 ◽  
Author(s):  
R.L. Doughty ◽  
L. Gise ◽  
E.W. Kalkstein ◽  
R.D. Willoughby
Keyword(s):  
Gas Turbine ◽  
Electrical Studies ◽  
Industrial Gas Turbine

scholarly journals Performance computing of an open cycle micro gas turbine powerplant using data aided modeling and simulation

2021 ◽  
Vol 1745 (1) ◽  
pp. 012098
Author(s):  
A V Thomas Jayachandran ◽  
A Y Tkachenko ◽  
H H Omar ◽  
A Krishnakumar
Keyword(s):  
Modeling And Simulation ◽  
Gas Turbine ◽  
Micro Gas Turbine ◽  
Open Cycle ◽  
Using Data ◽  
Performance Computing

Effect of Geometric Uncertainty on a One Stage Transonic Compressor of an Industrial Gas Turbine

2021 ◽  
Author(s):  
Venkatesh Suriyanarayanan ◽  
Kentaro Suzuki ◽  
Mehdi Vahdati ◽  
Loic Salles ◽  
Quentin Rendu
Keyword(s):  
Gas Turbine ◽  
Transonic Compressor ◽  
One Stage ◽  
Geometric Uncertainty ◽  
Industrial Gas Turbine
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