Peak Load Turbine Performance Dashboard, Run Level Efficiency Tracking for Gas Fired Power Plants

The Challenge

Peaking turbines operate under highly dynamic conditions, starting and stopping frequently to meet demand spikes. Unlike baseload units, their performance varies significantly between runs depending on startup duration, load ramping, and operating stability.

This variability makes it difficult for engineers to evaluate efficiency consistently. Without structured run by run analysis, it is challenging to understand how each start impacts fuel consumption, energy output, and overall performance.

• Frequent start stop operation during peak demand periods
• Limited visibility into per run efficiency
• Difficulty comparing turbine runs objectively
• Need to correlate runtime duration with performance

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The Approach

To solve this, the team built a structured performance dashboard that automatically analyzes each turbine run and presents key metrics in a clear, comparable format.

• Run segmentation, each turbine cycle was automatically detected and isolated
• KPI calculation, energy produced, gas consumed, and derived efficiency ratios were computed for every run
• Comparative visualization, results were displayed in a table format to compare runs side by side
• Efficiency highlighting, color coding allowed quick identification of high and low performance cycles
• Replicable design, the dashboard was built using standard platform functionality so it can be easily deployed across similar assets

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Key Insight

Shorter runs consistently showed lower efficiency because startup phases represent a larger percentage of total runtime.

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The Results

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The Takeaway

By transforming raw turbine data into structured run level intelligence, engineers gained immediate visibility into performance variability, enabling faster optimization decisions, better dispatch strategies, and improved operational awareness across peak load power generation assets.

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