A Practical Trace Element Monitoring System for Intermediate Gas Turbine Fuels

1970 ◽  
Author(s):  
E. S. Obidinski ◽  
K. W. Johnson
Keyword(s):  
Trace Element ◽  
Atomic Absorption ◽  
Gas Turbine ◽  
Monitoring System ◽  
Monitoring Systems ◽  
Interference Effects ◽  
Site Monitoring ◽  
Flame Emission ◽  
The Subject ◽  
Metallic Trace Element

Intermediate fuels (GT-3) are less expensive than distillates and do not cause difficulties in a gas turbine provided the contaminant level of the GT-3 oil is consistently kept below accurately set limits. The key to trouble-free operation is a reliable, relatively inexpensive and fairly fast on-site monitoring system. Experience with such a system was previously reported. The present paper discusses the on-site monitoring systems in some detail. The method provides results for metallic trace element analyses in the order of 10 ppm, within ±0.2 ppm, using the oil ash as the subject of investigation with a flame emission spectrophotometer, a colorimeter and an atomic absorption spectrophotometer. Elimination of interference effects is described and procedures for the appropriate solutions are shown. Investment costs and man-hour requirements are described.

Estimation of Gas Turbine Unmeasured Variables for an Online Monitoring System

2020 ◽  
Vol 37 (4) ◽  
pp. 413-428
Author(s):  
Igor Loboda ◽  
Luis Angel Miró Zárate ◽  
Sergiy Yepifanov ◽  
Cristhian Maravilla Herrera ◽  
Juan Luis Pérez Ruiz
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Online Monitoring ◽  
Real Data ◽  
Data Driven ◽  
Monitoring Systems ◽  
Practical Implementation ◽  
Diagnostic Features ◽  
Thermal Boundary Conditions ◽  
Online Monitoring System

AbstractOne of the main functions of gas turbine monitoring is to estimate important unmeasured variables, for instance, thrust and power. Existing methods are too complex for an online monitoring system. Moreover, they do not extract diagnostic features from the estimated variables, making them unusable for diagnostics. Two of our previous studies began to address the problem of “light” algorithms for online estimation of unmeasured variables. The first study deals with models for unmeasured thermal boundary conditions of a turbine blade. These models allow an enhanced prediction of blade lifetime and are sufficiently simple to be used online. The second study introduces unmeasured variable deviations and proves their applicability. However, the algorithms developed were dependent on a specific engine and a specific variable. The present paper proposes a universal algorithm to estimate and monitor any unmeasured gas turbine variables. This algorithm is based on simple data-driven models and can be used in online monitoring systems. It is evaluated on real data of two different engines affected by compressor fouling. The results prove that the estimates of unmeasured variables are sufficiently accurate, and the deviations of these variables are good diagnostic features. Thus, the algorithm is ready for practical implementation.

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