CASE STUDIES » MODEL MODIFICATIONS

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

Turbine Monitoring and Technical Support Services

A client in the power generation industry sought specialized expertise to enhance their turbine monitoring capabilities and ensure reliable operational support for their rotating equipment assets. The organization needed access to advanced diagnostic tools and experienced engineers who could provide ongoing technical guidance for complex turbine systems.

Bifacial Solar Module Performance Analysis

A client sought to better understand the real-world performance benefits of bifacial photovoltaic modules compared to traditional monofacial installations. With growing industry interest in bifacial technology, there was a need for rigorous, data-driven analysis to quantify actual performance gains and identify the factors that most significantly influence energy production from these advanced solar modules.

Combustion Dynamics Monitoring Implementation

A power generation company sought to enhance their gas turbine fleet monitoring capabilities, particularly around combustion dynamics. They needed a solution that could provide early detection of anomalous behavior related to instrumentation issues, tuning problems, and potential hardware damage before these issues led to costly unplanned outages or equipment damage.

Legacy Software Modernization for Continued Platform Compatibility

A client faced a growing compatibility challenge with a critical performance monitoring tool that had been in use for years. The software relied on older architecture that was becoming increasingly incompatible with modern computing environments as industry standards evolved.

Digital Twin Model Development for Industrial Gas Turbines

A client needed to expand their gas turbine monitoring and diagnostic capabilities to cover additional equipment types within their fleet. Existing digital twin models were limited to certain turbine configurations, creating gaps in their ability to perform comprehensive performance analysis across all assets.

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