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Formulate SciPy CCGT Optimization Model
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Linked challenge: Doosan Oman CCGT Combined-Cycle Thermal Efficiency Optimizer
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Linked challenge
Doosan Oman CCGT Combined-Cycle Thermal Efficiency Optimizer
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Write a Python script utilizing `scipy.optimize.minimize`. Define an objective function representing heat rate losses in a CCGT plant, set constraints for max turbine temperature (600°C), and solve for optimal operating parameters.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.