XPLORE – Calculation Modules: Turbine
The Xodus Turbine Calculation Module utilises operational data, custom calculations, industry standard calculations and advanced simulation technology to provide a state of the art monitoring system analysing all aspects of turbine operation and maintenance.
Each system is custom designed utilising the required functionality from the following list:
› Online real-time visualisation
› Thermodynamic calculations
› Mechanical degradation monitoring
› Real time/ historical, predictive and ‘what if’ operating modes.
Online Real-Time Visualisation
The Turbine Calculation Module gives the user the ability to view a large amount of system data and complex calculated information in real-time. Such information is normally only available following offline studies. Typical plots available to the user are EGT (Exhaust Gas Temperature) -v- RPM (Turbine Speed), CDP (Turbine Compressor Discharge Pressure) -v- RPM (Turbine Speed), EGHP (Exhaust Gas Horse-Power) -v- RPM (Turbine Speed), EGHP (Exhaust Gas Horse-Power) -v- SFC (Specific Fuel Consumption), EGT (Exhaust Gas Temperature) -v- EGHP (Exhaust Gas Horse-Power).
Each plot shows the design curve and the limit curve (both stored as configurable data). In addition the actual operating point is shown to provide indication of where the turbine is operating in relation to design/limit.
Thermodynamic Calculations
All such complex calculations are performed online in real-time, are available through the user interface and can be trended. For turbine monitoring we recommend and utilise Multiflash. Multiflash gives us access to a vast number of thermodynamic methods allowing us to analyse each system and select the most appropriate method.
Mechanical Degradation Monitoring
Hot section component materials and coatings degrade when they are exposed to service. The extent of degradation depends on both metal temperature and service time. In a cooled component, the material and coating degradation varies from location to location.
With the help of the performance monitoring system the performance degradation of the turbine unit can be evaluated and monitored. It is essential to detect degradation before corrective action can be started. Real time condition assessment monitoring is an important part of modern and efficient management of industrial drive machinery. Turbine performance is calculated by monitoring certain parameters, e.g. fuel gas flow, pressure, and speed. In order to reliably monitor performance, condition assessment monitoring system has to produce a reference value against which the real operating value can be compared. Usually the reference value is selected so that it represents the reference value of a new turbine.
Real time / Historical, Predictive and ‘What If’ Modes
The system can operate in any one of three modes. Real time operation shows the current status of the turbine. All of the measured and calculated data is saved to a historical database therefore the user can go back in time and review historical operation.
The system can include the ability to run in predictive mode so that in addition to real-time information the user also has information regarding the operation of the turbine in the near future. Depending on the complexity of the model we can predict up to 36 hours into the future.
In ‘what if’ mode the user can freeze the system and change any of the input parameters, for example the gas composition, and review what happens to the turbine operation. In this mode the real time data is stored in the background and refreshed when real time mode is reselected.
A typical architecture for a turbine monitoring system includes the standard XPLORE framework linking to the customer’s data historian. In the example the system also incorporates the compression calculation module. Along with custom calculations and information from the Multiflash package supply the user via a web server with real-time and historical (and if required predictive and ‘what if’) information regarding the operation of their system.
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Turbine overview.
Turbine emissions detail.
Click images to enlarge.