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Gas Turbine Performance Monitor
Business Requirements
The customer is a partner in a joint venture to supply a number of large co-generation heat and power plants associated with petrochemical plant. The approach of the customer is to standardise on a suite of applications developed around the PI System to promote consistency in every power station they own or build.
The customer wanted an application to enable performance engineers to monitor the efficiency and performance of co-generation gas turbine power and steam generation units over the lifetime of a plant, to help ascertain short and long term degradation of plant components
Application Overview
Based on a functional specification prepared by the customer, Indian Point developed a Gas Turbine Performance Monitor (GTPM) application.
This work was performed using a full software development life cycle from design specification to implementation, factory acceptance testing and user documentation. Site implementation will be carried out by the customer.
PI data from the generating units is used to calculate performance metrics. These may be displayed in tables and trends for user-specified periods in both calendar time and running hours. The user is able to filter from the display, data generated during non-standard running such as periods of unstable firing and / or non-base load.
Source data for the calculations are collected in real-time from the plant into a PI System at each site. PI-ACE (Advanced Computing Environment) modules are scheduled to run the calculation algorithms either at regular intervals, or whenever key plant values change significantly. Calculated results are stored in PI, with key PI tag values from site being continuously relayed to central office using PI to PI links. PI Performance Equation calculations monitor stable and base-load tags and write filtered values to additional tags where required.
PI ProcessBook displays show performance data in dual trends, one against calendar time and the other using PI XY plots to trend the data against either unit Operating Hours (OH) or Fired Factored Hours (FFH). The time period and XY interval in each display may be user selected using a bespoke PI Add-in. Filtered tags are accessed using aliases defined in the PI Module DB and ProcessBook contexts to show or hide data generated during non-stable and /or base load running. The Add-in responds to changes of context to ensure the trends continue to show data for the period and interval chosen by the user.
Business Benefits
Following successful installation of GTPM in the customer’s power stations, operations personnel will use the application to optimise plant performance.
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