scholarly journals Defining a Gas Turbine Performance Reference Database Model Based on Acceptance Test Results

Author(s):  
Norberto Prez ◽  
Erik Rosado ◽  
Alfonso Campos ◽  
Rafael Garca
Author(s):  
Ashley P. Wiese ◽  
Matthew J. Blom ◽  
Michael J. Brear ◽  
Chris Manzie ◽  
Anthony Kitchener

This paper presents a model-based, off-line method for analyzing the performance of individual components in an operating gas turbine. This integrated model combines submodels of the combustor efficiency, the combustor pressure loss, the hot-end heat transfer, the turbine inlet temperature, and the turbine performance. As part of this, new physics-based models are proposed for both the combustor efficiency and the turbine. These new models accommodate operating points that feature the flame extending beyond the combustor and combustion occurring in the turbine. Systematic model reduction is undertaken using experimental data from a prototype, microgas turbine rig built by the group. This so called gas turbine air compressor (GTAC) prototype utilizes a single compressor to provide cycle air and a supply of compressed air as its sole output. The most general model results in sensible estimates of all system parameters, including those obtained from the new models that describe variations in both the combustor and turbine performance. As with other microgas turbines, heat losses are also found to be significant.


Author(s):  
Koldo Zuniga ◽  
Thomas P. Schmitt ◽  
Herve Clement ◽  
Joao Balaco

Correction curves are of great importance in the performance evaluation of heavy duty gas turbines (HDGT). They provide the means by which to translate performance test results from test conditions to the rated conditions. The correction factors are usually calculated using the original equipment manufacturer (OEM) gas turbine thermal model (a.k.a. cycle deck), varying one parameter at a time throughout a given range of interest. For some parameters bi-variate effects are considered when the associated secondary performance effect of another variable is significant. Although this traditional approach has been widely accepted by the industry, has offered a simple and transparent means of correcting test results, and has provided a reasonably accurate correction methodology for gas turbines with conventional control systems, it neglects the associated interdependence of each correction parameter from the remaining parameters. Also, its inherently static nature is not well suited for today’s modern gas turbine control systems employing integral gas turbine aero-thermal models in the control system that continuously adapt the turbine’s operating parameters to the “as running” aero-thermal component performance characteristics. Accordingly, the most accurate means by which to correct the measured performance from test conditions to the guarantee conditions is by use of Model-Based Performance Corrections, in agreement with the current PTC-22 and ISO 2314, although not commonly used or accepted within the industry. The implementation of Model-based Corrections is presented for the Case Study of a GE 9FA gas turbine upgrade project, with an advanced model-based control system that accommodated a multitude of operating boundaries. Unique plant operating restrictions, coupled with its focus on partial load heat rate, presented a perfect scenario to employ Model-Based Performance Corrections.


Author(s):  
Myungkuk Lee ◽  
Myoung-Cheol Kang ◽  
Hongsuk Roh ◽  
Jayoung Ki

The solution was developed for the maintenance decision support of combined cycle power plant gas turbine. The developed solution provides the calculated result of optimal overhaul interval through the following modules: Overhaul Interval Prediction, Real Time Performance Monitoring, Model-Based Diagnostics, Performance Trend Analysis, Compressor Washing Period Management, and Blade Path Temperature Analysis. Model-Based Diagnostics module analyzed the differences between the data of MHI501G gas turbine performance model and the online measurement. Gas turbine performance model can be modified by the type of gas turbine of each combined cycle power plant. Compressor washing management module suggests the optimal point of balancing between the compressor performance and the maintenance cost. The predicted results of compressor washing period and overhaul period are able to support the operators in combined cycle power plant to make a proper decision of maintenance task. 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.


Author(s):  
R. L. Messerlie ◽  
J. R. Strother

The Brayton and Rankine cycles are well known and widely used in their own way to generate power. A combining of the fluids of the two cycles has been proposed by International Power Technology and tested by Allison Gas Turbine Operations. Steam generated by the exhaust heat is mixed with the fuel and air in the gas turbine combustion chamber prior to expansion through the turbine. The thermal efficiency of an existing engine can be increased by 40% and power output by 60% at constant turbine temperature. This concept is identified as the Dual Fluid Cycle (DFC). In addition to the basic improvement in cycle performance, the DFC provides an added degree of flexibility to the power plant engineer in his effort to satisfy plant needs for power, heat, and steam. Allison test results of this concept on a Model 501-KB engine have been correlated with a computer model of the engine and show good agreement. This paper will show how the DFC can be used to maximize thermal efficiency while meeting the requirement for power and steam in selected cases. Comparisons will be made to other options for power and steam generation.


Author(s):  
L. J. Williams

A clear need exists for methods of establishing the validity of gas turbine performance test results and diagnosing the causes of performance problems. Published methods depend on the results of simulating faults in complex mathematical models of the engines and are only capable of diagnosing combinations of faults previously simulated. A very simple mathematical modelling procedure is described which allows the analyst to test his own hypothesis of engine faults and so identify instrumentation errors and discover conditions not previously considered. Application of modelling to actual test data is demonstrated.


Energy ◽  
2020 ◽  
pp. 119657
Author(s):  
Yu-Zhi Chen ◽  
Xu-Dong Zhao ◽  
Heng-Chao Xiang ◽  
Elias Tsoutsanis

2021 ◽  
Vol 1107 (1) ◽  
pp. 012025
Author(s):  
A. El-Suleiman ◽  
O.D. Samuel ◽  
S.T. Amosun ◽  
I. Emovon ◽  
F. I. Ashiedu ◽  
...  

Author(s):  
Steve Ingistov ◽  
Michael Milos ◽  
Rakesh K. Bhargava

A suitable inlet air filter system is required for a gas turbine, depending on installation site and its environmental conditions, to minimize contaminants entering the compressor section in order to maintain gas turbine performance. This paper describes evolution of inlet air filter systems utilized at the 420 MW Watson Cogeneration Plant consisting of four GE 7EA gas turbines since commissioning of the plant in November 1987. Changes to the inlet air filtration system became necessary due to system limitations, a desire to reduce operational and maintenance costs, and enhance overall plant performance. Based on approximately 2 years of operational data with the latest filtration system combined with other operational experiences of more than 25 years, it is shown that implementation of the high efficiency particulate air filter system provides reduced number of crank washes, gas turbine performance improvement and significant economic benefits compared to the traditional synthetic media type filters. Reasons for improved gas turbine performance and associated economic benefits, observed via actual operational data, with use of the latest filter system are discussed in this paper.


2018 ◽  
Vol 34 (5) ◽  
pp. 1178-1188 ◽  
Author(s):  
Afshin Banazadeh ◽  
Hossein Abdollahi Gol

1982 ◽  
Vol 104 (2) ◽  
pp. 143-149 ◽  
Author(s):  
W. F. Z. Lee ◽  
D. C. Blakeslee ◽  
R. V. White

A new metering concept of a self-correcting and self-checking turbine meter is described in which a sensor rotor downstream from the main rotor senses and responds to changes in the exit angle of the fluid leaving the main rotor. The output from the sensor rotor is then electronically combined with the output from the main rotor to produce an adjusted output which automatically and continuously corrects to original meter calibration accuracy. This takes place despite changes in retarding torques, bearing wear and/or upstream conditions occurring in field operations over those which were experienced during calibration. The ratio of the sensor rotor output to the main rotor output at operating conditions is also automatically and continuously compared with that at calibration conditions. This provides an indication of the amount of accuracy deviation from initial calibration that is being corrected by the sensor rotor. This concept is studied theoretically and experimentally. Both the theory and test results (laboratory and field) confirm the concept’s validity and practicability.


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