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Case Studies

Explore how Turbine Logic helps companies like yours optimize the performance of your assets through advanced analytics, diagnostics, and engineering expertise.

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Other Studies

Hydrogen Fuel Capability Assessment for Legacy Gas Turbine Fleet

A power generation operator sought to understand the feasibility of transitioning their existing gas turbine fleet to operate on hydrogen-blended fuels as part of a broader decarbonization strategy. The fleet included multiple turbine models from different manufacturers, and the operator needed clarity on technical limitations, operational impacts, and facility modifications that would be required to support alternative fuel blending.

Sensor Health Monitoring for Gas Turbine Operations

Gas turbine monitoring and diagnostics centers frequently encounter false alarms that consume valuable time and resources. Many of these false alarms stem from issues within the instrumentation chain: sensors that have drifted, failed, or produced corrupted data during transmission or storage.

Cycle Model Development for Gas Turbine Fault Diagnostics

A client sought to improve their ability to detect and diagnose equipment faults in their gas turbine fleet before they led to costly unplanned outages. Traditional monitoring approaches were reactive, often identifying problems only after performance had already degraded significantly.

Gas Turbine Filtration Life Cycle Cost Analysis Tool Development

A client needed a way to evaluate the economic impact of different air filtration strategies for their gas turbine operations. The challenge involved balancing multiple competing factors: filter efficiency, pressure drop effects on turbine performance, maintenance costs, water wash scheduling, and long-term operational expenses.

Gas Turbine Digital Twin Development and Deployment

A client in the power generation industry sought to enhance their operational capabilities through advanced digital modeling of gas turbine assets. The goal was to create a sophisticated monitoring solution that could provide deeper insights into turbine performance and support data-driven decision making.

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