Entropy Generation Study of Turbine Exhaust Gas Through an Infrared Suppression Device

2021 ◽  
pp. 1-12
Author(s):  
Vikrant Chandrakar ◽  
Arnab Mukherjee ◽  
Jnana Ranjan Senapati ◽  
Aurovinda Mohanty
Keyword(s):  
Entropy Generation ◽  
Exhaust Gas ◽  
Turbine Exhaust

Exergy Analysis of Combined Cycles: Part 2—Analysis and Optimization of Two-Pressure Steam Bottoming Cycles

1987 ◽  
Vol 109 (2) ◽  
pp. 237-243 ◽  
Author(s):  
W. W. Chin ◽  
M. A. El-Masri
Keyword(s):  
Heat Transfer ◽  
Exergy Analysis ◽  
Exhaust Gas ◽  
Exhaust Temperature ◽  
Optimum Parameters ◽  
Technological Practice ◽  
Combined Cycles ◽  
Exit Temperature ◽  
Gas Turbine Exhaust ◽  
Turbine Exhaust

Results of a study for selecting the optimum parameters of a dual-pressure bottoming cycle as a function of the gas turbine exhaust temperature are presented. Realistic constraints reflecting current technological practice are assumed. Exergy analysis is applied to quantify all loss sources in each cycle. Compared to a single pressure at typical exhaust gas temperatures the optimized dual-pressure configuration is found to increase steam cycle work output on the order of 3 percent, principally through the reduction of the heat transfer irreversibility from about 15 to 8 percent of the exhaust gas energy. Measures to further reduce the heat transfer irreversibility such as three-pressure systems or use of multicomponent mixtures can therefore only result in modest additional gains. The results for the efficiency of optimized dual-pressure bottoming cycles are correlated against turbine exit temperature by simple polynomial fits. Sensitivity of the results to variations in the constraint envelope are presented.

scholarly journals High-Temperature Profile Monitoring in Gas Turbine Exhaust-Gas Diffusors with Six-Point Fiber-Optic Sensor Array

2020 ◽  
Vol 5 (4) ◽  
pp. 25
Author(s):  
Franz J. Dutz ◽  
Sven Boje ◽  
Ulrich Orth ◽  
Alexander W. Koch ◽  
Johannes Roths
Keyword(s):  
Gas Turbine ◽  
Fiber Optic ◽  
Characteristic Temperature ◽  
Fiber Optic Sensor ◽  
Exhaust Gas ◽  
Radial Temperature ◽  
Temperature Probe ◽  
Steel Protection ◽  
Gas Turbine Exhaust ◽  
Turbine Exhaust

In this paper, the deployment of a newly developed, multipoint, fiber-optic temperature-sensor system for temperature distribution measurements in a 6 MW gas turbine is demonstrated. The optical sensor fiber was integrated in a stainless steel protection cable with a 1.6 mm outside diameter. It included six measurement points, distributed over a length of 110 mm. The sensor cable was mounted in a temperature probe and was positioned radially in the exhaust-gas diffusor of the turbine. With this temperature probe, the radial temperature profiles in the exhaust-gas diffusor were measured with high spatial and temporal resolution. During a test run of the turbine, characteristic temperature gradients were observed when the machine operated at different loads.

scholarly journals A Fault Diagnosis Approach for Gas Turbine Exhaust Gas Temperature Based on Fuzzy C-Means Clustering and Support Vector Machine

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Zhi-tao Wang ◽  
Ning-bo Zhao ◽  
Wei-ying Wang ◽  
Rui Tang ◽  
Shu-ying Li
Keyword(s):  
Fault Diagnosis ◽  
Gas Turbine ◽  
Clustering Algorithm ◽  
Support Vector ◽  
Exhaust Gas ◽  
Gas Temperature ◽  
Fcm Clustering ◽  
Gas Turbine Exhaust ◽  
Exhaust Gas Temperature ◽  
Turbine Exhaust

As an important gas path performance parameter of gas turbine, exhaust gas temperature (EGT) can represent the thermal health condition of gas turbine. In order to monitor and diagnose the EGT effectively, a fusion approach based on fuzzy C-means (FCM) clustering algorithm and support vector machine (SVM) classification model is proposed in this paper. Considering the distribution characteristics of gas turbine EGT, FCM clustering algorithm is used to realize clustering analysis and obtain the state pattern, on the basis of which the preclassification of EGT is completed. Then, SVM multiclassification model is designed to carry out the state pattern recognition and fault diagnosis. As an example, the historical monitoring data of EGT from an industrial gas turbine is analyzed and used to verify the performance of the fusion fault diagnosis approach presented in this paper. The results show that this approach can make full use of the unsupervised feature extraction ability of FCM clustering algorithm and the sample classification generalization properties of SVM multiclassification model, which offers an effective way to realize the online condition recognition and fault diagnosis of gas turbine EGT.

On the Effect of Swirl Flow of Gas Turbine Exhaust Gas in an Inlet Duct of Heat Recovery Steam Generator

2002 ◽  
Vol 124 (3) ◽  
pp. 496-502 ◽  
Author(s):  
B. E. Lee ◽  
S. B. Kwon ◽  
C. S. Lee
Keyword(s):  
Gas Turbine ◽  
Steam Generator ◽  
Heat Recovery ◽  
Swirl Flow ◽  
Exhaust Gas ◽  
Heat Recovery Steam Generator ◽  
Gas Turbine Exhaust ◽  
Duct Burner ◽  
Turbine Exhaust ◽  
Inlet Duct

Computational and experimental studies are performed to investigate the effect of swirl flow of gas turbine exhaust gas (GTEG) in an inlet duct of a heat recovery steam generator (HRSG). A supplemental-fired HRSG is chosen as the model studied because the uniformity of the GTEG at the inlet plane of the duct burner is essential in such applications. Both velocity and oxygen distributions are investigated at the inlet plane of the duct burner installed in the middle of the HRSG transition duct. Two important parameters, the swirl angle of GTEG and the momentum ratio of additional air to GTEG, are chosen for the investigation of mixing between the two streams. It has been found that a flow correction device (FCD) is essential to provide a uniform gas flow distribution at the inlet plane of the duct burner.

Investigation of a Duct Burner Design Using CFD in Comparison With Full-Scale Experiments

2003 ◽  
Author(s):  
Michael A. Lorra ◽  
Carol A. Schnepper ◽  
Stephen Somers
Keyword(s):  
Experimental Testing ◽  
Full Range ◽  
Research Work ◽  
Operating Conditions ◽  
Cfd Modeling ◽  
Exhaust Gas ◽  
Ongoing Research ◽  
Water Steam ◽  
Duct Burner ◽  
Turbine Exhaust

Most new duct burners are supplied to heat recovery steam generator (HRSG) manufacturers for use in cogeneration systems. Key components of a simple cycle cogeneration plant include a turbine, generator, turbine exhaust gas duct, duct burner (optional), HRSG and downstream flue gas cleaning equipment. New developments in gas turbine technology are changing the boundary conditions for supplemental firing. In response, John Zink has an ongoing research project for the development of new duct burners achieving ultra low NOx emissions maintaining a good flame quality. The scope of this research work includes computational fluid dynamic modeling (CFD) and experimental testing of current design duct burner to obtain baseline data comparable with CFD results, and various experimental configurations through a full range of expected operating conditions. Experimental testing is performed in a test furnace at John Zink Company, Tulsa. Turbine exhaust gas (TEG) is simulated using John Zink Duct burners, which are supplied with air from a combustion air fan. Different O2 levels can be achieved by a combined water/steam injection. The temperature level of the TEG to the test burner can be adjusted with an air-cooled heat exchanger. Temperature and concentration measurements can be made at the test burner location and in the stack. Flame length, as well as NOx and CO emissions were measured for each data point. CFD modeling focused on the performance effects of turbine exhaust gas flow mal-distribution and the investigation on how reliable CFD models are, regarding flame stability calculations and NOx production. The results of this comprehensive testing and results from the CFD calculations will be compared and presented.

NOx Removal Process by Injection of NH3 and H2O2 in Gas Turbine Exhaust Gas

1979 ◽  
Author(s):  
Y. Hishinuma ◽  
F. Nakajima ◽  
H. Akimoto ◽  
Y. Uchiyama ◽  
S. Azuhata ◽  
...  
Keyword(s):  
Gas Turbine ◽  
Nox Reduction ◽  
Reduction Rate ◽  
Reduction Process ◽  
Heterogeneous Reactions ◽  
High Rate ◽  
Exhaust Gas ◽  
Reduction Of Nox ◽  
Gas Turbine Exhaust ◽  
Turbine Exhaust

For the removal of NOx in a gas turbine exhaust gas, the reduction of NOx with NH3 and H2O2 was studied. It was found that the addition of H2O2 very effectively lowers the reduction temperature of NO with NH3 and that more than 90 percent NOx reduction could be attained at 550 C in the absence of O2. However, the NOx reduction rate decreased with increases in the concentration of O2, and NOx reduction was about 40 to 60 percent under gas turbine exhaust gas condition (15 percent O2). In order to attain a high rate of reduction of NOx, a combined reduction process, which consisted of homogeneous gas phase and the catalytic heterogeneous reactions, was also developed. The efficiency of the new process was proved in a pilot plant using half a size model of a 25-MW gas turbine combustor.

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