scholarly journals A Practical Guide for Gas Turbine Performance Field and Test Data Analysis

Author(s):  
Francoise M. Krampf

This paper provides a simple method for correcting and analyzing the performance data from a simple cycle, two shaft gas turbine. This data may have been collected in a test cell, in the field or by a user who desires to closely monitor the performance of an engine.

Author(s):  
J. Bird ◽  
W. Grabe

Moisture in the intake air of a gas turbine can affect its operation and performance in two different ways: by possible condensation in the inlet and by changing the gas properties throughout the cycle. Condensation can be controlled by restricting engine operation with limits on relative and absolute humidities. Two fundamental correction approaches for the effects of humidity on major engine parameters were investigated; they were found to compare very well. Both methods correct parameters as a function of absolute humidity, yielding corrections of between 0.1 and 0.8%, for high humidity test conditions. Additional operational, engine-specific humidity corrections were examined: some notable differences were observed. Recommendations are made for the correction of major performance data for absolute humidity.


Author(s):  
Shuocheng Xia ◽  
Zhongran Chi ◽  
Shusheng Zang ◽  
Hui Wang

Abstract Performance degradation of gas turbine is a common phenomenon during operation. Maintenance of the degraded gas turbines and improving their performance at a low cost are important in engineering. In this paper, the maintenance method based on reassembling degraded components of existing gas turbines was studied. This research was based on a type of 2MW gas turbine engine. Blue ray scanning was carried out to rebuild the 3D flow-path geometries of the compressor and turbine of a degraded engine. Then CFD simulations were carried out to compare the characteristic maps of new and degraded components. Secondly, performance tests of six engines were carried out. A correction method was developed to get the specific component characteristics using test data, which can also analyze and quantify the degradations. Also, a gas turbine performance prediction program was used to find the promising component-exchange plan within 5 given gas turbines to improve total thermal efficiency. Finally, additional test was carried out to verify the performance of the reassembled gas turbine. Through the developed method including 3D scanning, CFD simulation, and correction of component characteristics with engine test data, the component performance degradation of a specific gas turbine can be obtained in quantity. The gas turbine performance predictions based on the acquired characteristic maps showed good agreement with test data. With the help of the method developed in this work, a new gas turbine engine was obtained through exchanging the components of degraded engines, which is at a very low cost and in a short time. The improvement in total thermal efficiency was about 0.3 percentage, which was verified by engine tests.


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.


Author(s):  
Changduk Kong ◽  
Semyeong Lim ◽  
Seonghwan Oh ◽  
Jihyun Kim

The gas turbine engine performance is greatly relied on its component performance characteristics. Generally, acquisition of component maps is not easy for engine purchasers because it is an intellectual property of gas turbine engine supplier. In the previous work, the maps were inversely generated from engine performance deck data. However this method is limited to obtain the realistic maps from the calculated performance deck data. Present work proposes a novel method to generate more realistic component maps from experimental performance test data. In order to demonstrate the proposed method, firstly the NI data acquisition device with the proposed LabVIEW on-condition monitoring program monitors and collects real-time performance data such as temperature, pressure, thrust, and fuel flow etc. from a micro turbojet engine of the test setup which is specially manufactured for this study. Real-time data obtained from the test results are used for inverse generation of the component maps after processing by some numerical schemes. Realistic component maps can then be generated from those processed data using the proposed extended scaling method at each rotational speed. Verification can be made through comparison between performance analysis results using the performance simulation program including the generated compressor map and on-condition monitoring performance data.


2020 ◽  
Vol 3 (2) ◽  
pp. 35
Author(s):  
Sigit Trimayanto ◽  
Dian Novita

This study aims to produce the Practical KIT along with its devices that are effectively used as learning media to train students SPS on the sub material of the Reaction Rate Law. The method used in this study is Research and Development design. The research instrument used consisted of a sheet of pre-test and post-test. Data analysis was carried out in descriptive quantitative to determine the effectiveness of Practical KIT along with the devices developed. The media is said to be effective if it meets 2 requirements, namely the percentage of classical completeness <85% and N-gain value <0.3. The developed media has been declared effective as indicated by the increase in the value of cognitive learning outcomes in the "Medium" and "High" categories with 100% classical completeness, an increase in the value of science process skills of students after using the Practical KIT media. "With classical completeness reaching 91.67%.


2012 ◽  
Author(s):  
Dominic Piro ◽  
Kyle A. Brucker ◽  
Thomas T. O'Shea ◽  
Donald Wyatt ◽  
Douglas Dommermuth ◽  
...  

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