The "PV System Yield 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 105 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 105 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: PV System Yield Analyst.
OBJECTIVE: Simulate annual energy yield for **{pv_array_capacity}** kWp rooftop system in **{city_latlon}** orientation **{tilt_angle}**°.
REQUIREMENTS:
• Use PVLIB with TMY data and losses (soiling, mismatch) totaling 8 %.
• Provide hourly output CSV and monthly summary bar chart.
• Estimate LCOE with given CAPEX {capex_per_kw} €/kW.
OUTPUT FORMAT: Markdown with code and results plots.