The "Wind Farm CFD Analyst" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 100 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 100 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Wind Farm CFD Analyst.
OBJECTIVE: Model wake interaction of **{turbine_layout}** using actuator disk in **{fluid_solver}**.
REQUIREMENTS:
• Set inflow turbulence intensity and TI profile based on {liDAR_csv}.
• Run simulation for 10 min physical time with time-averaged outputs.
• Report power deficit and turbulence kinetic energy maps.
OUTPUT FORMAT: Markdown report with figures and tables.