Gas Turbine Key Safety and Reliability Issues

2022 ◽  
pp. 259-276
Author(s):  
William E. Forsthoffer
Keyword(s):  
Gas Turbine ◽  
Safety And Reliability

A Gas Turbine Powered LNG Tanker

1973 ◽  
Author(s):  
N. A. Svensen
Keyword(s):  
Gas Turbine ◽  
Dual Fuel ◽  
Plant Safety ◽  
Marine Application ◽  
Safety And Reliability ◽  
Ship Control ◽  
Gas Fuel ◽  
Heavy Duty Gas Turbine ◽  
Basic Features ◽  
Operating Constraints

The author discusses some of the design features of the power plant for the world’s first gas turbine LNG carrier. The basic features of the dual fuel system are examined with respect to the use of LNG boil-off gas fuel, and marine operating and automation requirements. Marine classification society design criteria and operating constraints are briefly studied with respect to plant safety and functional interfaces with ship control systems. The concept of locked-shaft flaring of boil-off gas in port is discussed with emphasis on land-based system experience. The conclusion emphasizes safety and reliability features of this new marine application of the Heavy Duty Gas Turbine.

System Development of Micro Gas Turbine Co-Generation

2007 ◽  
Vol 345-346 ◽  
pp. 1003-1006 ◽  
Author(s):  
Kwang Beom Hur ◽  
Sang Kyu Rhim ◽  
Jung Keuk Park ◽  
Jae Hoon Kim
Keyword(s):  
Gas Turbine ◽  
Distributed Generation ◽  
System Development ◽  
Gas Absorption ◽  
Power Performance ◽  
Micro Gas Turbine ◽  
Grid Connection ◽  
Number Of Factors ◽  
Safety And Reliability ◽  
And Performance

The new market penetration using the distributed generation technology is linked to a large number of factors like economics and performance, safety and reliability, market regulations, environmental issues, or grid connection standards. KEPCO, a government company in Korea, has performed the project to identify and evaluate the performance of Micro Gas Turbine (MGT) technologies focused on 30, 60kW-class grid-connected optimization and combined Heat & Power performance. This paper describes the results for the mechanical, electrical, and environmental tests of MGT on actual grid-connection under Korean regulations. As one of the achievements, the simulation model of Exhaust-gas Absorption Chiller was developed, so that it will be able to analyze or propose new distributed generation system using MGT.

De-Oiler System for Improved Oil Containment

2006 ◽  
Author(s):  
William G. Sheridan ◽  
Sarah T. Swayze ◽  
J. Axel Glahn
Keyword(s):  
Gas Turbine ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Mechanical Seals ◽  
Idle Speed ◽  
Critical Design ◽  
Safety And Reliability ◽  
Moderate Power ◽  
Oil Mist

Oil containment is a critical design requirement that affects overall system safety and reliability of gas turbine engines. This paper examines a new method to enhance oil containment by use of an improved de-oiler that creates a favorable bearing compartment differential pressure environment even at low power settings. Typically gas turbine engines require seals to contain oil within the bearing compartment. These seals, both contacting and non-contacting configuration styles, rely on secondary airflow to buffer the sealing interface and force oil mist and droplets back into the compartment. This is not difficult to achieve at high or moderate power conditions since there is generally sufficient air flow and pressure available to meet the sealing requirements. However, at idle conditions, the engine low-pressure compressor (LPC) may not turn fast enough to produce sufficient airflow to buffer the seals. To address these concerns the authors propose a method where the de-oiler creates a vacuum at idle speed, which results in favorable compartment seal differential pressures and also acts as a restrictor at higher speeds, where limiting the contact pressure and increasing the service life of mechanical seals become desirable design goals. The paper will examine a specific case study with both analytical and experimental results.

Rosenhain Centenary Conference - 1. Engineering requirements 1.6 Gas turbine requirements Keynote speech

1976 ◽  
Vol 282 (1307) ◽  
pp. 118-122
Keyword(s):  
Gas Turbine ◽  
Strength Of Materials ◽  
The Past ◽  
The Future ◽  
Safety And Reliability ◽  
Keynote Speech ◽  
Design Requirements

During this session we are still considering engineering requirements but concentrating on aircraft - airframes, undercarriages, and engines. The aims of this conference were to bring engineers and metallurgists together, and to discuss the design requirements and how the various requirements lead to different priorities. There are unfortunately no simple cases. It is important to note that aircraft designers wish to increase the strength of materials as far as safety and reliability will allow. This is precisely what Rosenhain did in the past and I cannot overemphasize the importance of very close associations between engineers and metallurgists in the aviation business. We will therefore consider the designers requirements, how the metallurgist has been able to help in the past, and what is required in the future.

scholarly journals A gas turbine thermal performance prediction method based on dynamic neural network

2021 ◽  
Vol 1207 (1) ◽  
pp. 012014
Author(s):  
Yansong Hao ◽  
Yunfeng Jin ◽  
Chao Liu ◽  
Jiangang Hao ◽  
Haizhou Huang ◽  
...  
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Gas Turbine ◽  
Prediction Method ◽  
Calculation Model ◽  
Dynamic Neural Network ◽  
Safety And Reliability ◽  
Validation Set ◽  
Gas Turbine Compressor ◽  
Isentropic Efficiency

Abstract In order to ensure safety and reliability of energy transportation, it is necessary to understand and predict the performance of the gas turbine components. A prediction frame of the gas turbine compressor isentropic efficiency is established using the neural time series theory based on the Dynamic Neural Network. In order to obtain appropriate parameters for the network, a validation set is introduced to generalize the model. The compressor isentropic efficiency can be predicted based on the suggested model which provides an effective technical mean for the early warning of gas turbine performance. The experiment verified that the performance calculation model and the isentropic entropy efficiency prediction model based on the neural time series are effective.

Hybrid Neural System for Gas Turbine Diagnostics: An Optimization Strategy

2010 ◽  
Author(s):  
Gustavo Ravanhani Matuck ◽  
Joa˜o Roberto Barbosa ◽  
Cleverson Bringhenti ◽  
Isaias Lima
Keyword(s):  
Gas Turbine ◽  
Hybrid System ◽  
Gas Turbines ◽  
Neural System ◽  
Optimization Strategy ◽  
Multiple Faults ◽  
Kohonen Neural Network ◽  
Safety And Reliability ◽  
Using Data ◽  
Simulator Program

New health monitoring strategies were developed in the last decade aiming at improvement of gas turbines safety and reliability. Real time methodologies have been considered of major concern for safe operation at least cost. This paper describes a hybrid system approach for turboshaft faults diagnosis, using data obtained from a tuned high fidelity gas turbine simulator program, including those for multiple faults deteriorated performance. Kohonen neural network was used to analyze similarity together with an optimization strategy to reduce the volume of data used in the diagnostics phase. A Multi-Layer Perceptron (MLP) was used for training and validation. The MLP and Kohonen networks were tested for several configurations, in order to improve diagnosis. The hybrid system was also tested with noise-contaminated data and it was verified the capability of the neural approach to detect and isolate multiple faults better than the MLP alone. The results showed that the optimization strategy reduced significantly the database patterns and improved the learning process, demonstrating high precision to diagnose gas turbine operation problems. The reliability of the proposed system is explained both qualitatively and quantitatively.

The Gas Turbine

1906 ◽  
Vol 61 (1569supp) ◽  
pp. 25137-25138
Keyword(s):  
Gas Turbine
Sign in / Sign up

Export Citation Format

Share Document