In considering future process changes, a U.S. utility contracted TRAX to analyze a combined cycle power plant’s dynamics during startup, shutdown and load maneuvering events. This client was considering adding the GE Steam Turbine Agility system with the intent to improve the plant’s startup time and reduce fuel consumption. Using modeling, TRAX can help choose process and controls changes to optimize plant operation and minimize cost before these investments are made.
TRAX built a high-fidelity simulation of the combined cycle power plant heat recovery steam generator (HRSG), balance of plant and steam turbine (ST) systems. The simulation model was validated by comparing plant historian data against model data during:
Once validated against plant historian data, TRAX tested incrementalchanges in the model to predict the behavior and evaluate the benefits anddrawbacks of the client’s proposed changes. Using the modeled solution, TRAXtested changes intended to improve the client’s combined cycle startup time andreduce fuel consumption. Our finding included:
This testing included several important data points for the client:
TRAX’s modeling confirmed the startup time can be reduced by 100 minutes when using the thermal blanket as shown below.
TRAX was also able to show rapid improvement in other cases. The first image shows a comparison of steam turbine load, where the turbine reaches base load in IPC mode 80 minutes faster than the unmodified condition. The second image shows a similar comparison of the combined cycle total load with and without ST improvements.
If any event causes a plant trip or other major upset during the evaluation of the simulation, TRAX tests a variety of corrective actions. In this case, TRAX identified several areas of change to the client, allowing them to train for specific conditions and concerns:
TRAX highlighted this area as a possible concern to the client. The high pressure observed in the model indicates an operator may need to take preventative actions to relieve the high drum pressure.