Dresser-Rand has launched Envision Gas Turbine (GT) Performance Module. The module is designed to assist operators and field service personnel in their day-to-day operation of GE aeroderivative gas turbines. This is accomplished by gathering and analyzing real-time data to calculate thermodynamic performance. The outputs of the GT Performance Module are ISO reference corrected and humidity corrected, specifically for the LM series gas turbines.
“The GT Performance Module facilitates the optimal management of gas turbines. Its development was based on decades of packaging experience with the GE LM2500 to accurately calculate turbine performance as if it were on a Dresser-Rand factory test stand,” said Dan Levin, general manager, Dresser-Rand Control Systems. “It facilitates the effective planning for operational and maintenance activities ahead of a planned shutdown.”
Dresser-Rand’s GT Performance Module claim to provide two direct benefits to the GE LM2500 gas turbine generator set. First, it lowers operating costs. The real-time monitoring of gas turbine performance can help ensure a generator set operates at peak efficiency. Recognizing indications of performance degradation early allows for prompt corrective action to prevent excessive energy/fuel usage and reduced turbine life.
Second, it provides predictive maintenance capabilities that are crucial in identifying performance degradation from irregularities like turbine compressor fouling, imbalanced fuel nozzles, compressor rotating stall, expander efficiency degradation, and exhaust pressure drop.
“Users can assess the engine’s performance relative to OEM-determined predictions,” Levin said. “With this information, operational and maintenance activities can be planned in advance of a scheduled shut down. Users can also reduce the impact on production and decide what corrective actions are needed before servicing the turbine.”
The GT Performance Module also allows for the optimization of an engine’s maintenance schedule. With lower costs from fewer maintenance intervals and the increased turbine runtime, the total cost savings from maintenance optimization could be significant.
One of the Module’s key advantages is providing comprehensive information in various forms when and where it’s needed. Users can select from multiple graph formats or create trends from stored data. Alerts can be sent to designated e-mail addresses. All graphs, data and views are available remotely through a web client interface from anywhere in the world.
The architecture of the GT Performance Module is open, supporting OPC and DDE servers. It’s flexible and simultaneously monitors multiple trains, even when controlled by different processors and control systems.
