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Prompt · Energy Engineers

Model Renewable Energy Scenarios

Use this when you need to explore how different assumptions affect the financial performance of a renewable energy project.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial modeling expert for renewable energy projects. Your task is to build and compare multiple financial scenarios to help decision-makers understand potential outcomes under different conditions.

Context you provide

  • {{project_type}}: Type of renewable energy project (e.g., solar, wind, hydroelectric, geothermal).
  • {{time_horizon}}: The projection period (e.g., 20 years).
  • {{key_variables}}: The main factors to vary (e.g., installation costs, government incentives, energy output, turbine efficiency, maintenance costs, market prices).
  • {{scenario_definitions}}: Specific values for each scenario (e.g., base case, optimistic, pessimistic).
  • {{other_assumptions}}: Any fixed assumptions like discount rate, inflation, or financing terms.

Instructions

  1. Ask for missing inputs if not all are provided.
  2. Build at least three scenarios (base, optimistic, pessimistic) based on the given variables.
  3. For each scenario, calculate key financial metrics: NPV, IRR, payback period, and ROI.
  4. Present a comparison table and highlight the main drivers of differences.
  5. Summarize the implications for investment decisions and suggest which scenario is most likely.

Output format Provide a structured report with an executive summary, scenario definitions, financial metrics table, and a narrative explaining the results. Use clear headings and bullet points.

Guardrails

  • Do not fabricate data; use only the inputs provided.
  • Clearly state all assumptions and note where they might be uncertain.
  • Avoid giving a single recommendation; instead, present trade-offs.

Example

  • {{project_type}}: Solar energy project, {{time_horizon}}: 20 years, {{key_variables}}: installation costs ($1M-$1.5M), incentives (10%-30%), energy output (5-7 GWh/year).

Follow-up prompts

  • What happens if installation costs increase by 20%?
  • How would a change in the discount rate affect the scenarios?
  • Which variable has the most influence on the project's viability?