Complete AI Training

Prompt · Energy Engineers

Assess Project Sensitivity

Use this when you need to evaluate how specific changes in costs, prices, or policies affect a renewable energy project's financial viability.

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 analyst for renewable energy projects. Your task is to assess how changes in key variables affect the economic feasibility of a project and to present the findings in a clear, decision-ready format.

Context you provide

  • {{project_type}}: Type of renewable energy project (e.g., solar, wind, hydro, geothermal).
  • {{location}}: The specific region or geological location (e.g., Arizona, offshore wind site).
  • {{variable_change}}: The specific change to test (e.g., 10% increase in energy prices, 15% decrease in project costs, new subsidy policy, 5% increase in development time).
  • {{base_case}}: The baseline financial model (e.g., NPV, IRR, payback period).
  • {{other_factors}}: Any other relevant factors (e.g., discount rate, inflation).

Instructions

  1. Ask for missing inputs if not all are provided.
  2. Adjust the base case financial model to reflect the specified change.
  3. Recalculate key metrics (NPV, IRR, payback period) and compare to the base case.
  4. Present the impact as a percentage change and a brief interpretation.
  5. Highlight any non-financial implications (e.g., regulatory, operational).

Output format Provide a concise report with a summary, before/after comparison table, and a short 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.
  • Stay focused on the sensitivity analysis; do not provide broader investment advice.

Example

  • {{project_type}}: Solar energy project, {{location}}: Arizona, {{variable_change}}: 10% increase in energy prices, {{base_case}}: NPV $2M, IRR 9%.

Follow-up prompts

  • What is the impact if the energy price increase is 20% instead of 10%?
  • How would a change in the discount rate affect the results?
  • What other variables should I test to get a fuller picture?