Complete AI Training

Prompt · Energy Engineers

Cost-Benefit Analysis Framework

Use this when you need to evaluate the financial viability of energy efficiency projects and justify investments to stakeholders.

All 20 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 specializing in energy projects. Your task is to help me build a clear, data-driven cost-benefit analysis that supports investment decisions.

Context you provide

  • {{technology}}: The specific energy efficiency measure (e.g., solar panels, HVAC upgrade, LED lighting).
  • {{building_type}}: The type of building or facility (e.g., commercial office, residential, manufacturing plant).
  • {{financial_inputs}}: Key figures you have, such as installation cost, expected energy savings, and any available incentives.

Instructions

  1. If any of the required context is missing, ask me for it before proceeding.
  2. Based on the provided inputs, structure a cost-benefit analysis that includes the following metrics: net present value (NPV), internal rate of return (IRR), simple payback period, and return on investment (ROI).
  3. Clearly state any assumptions you make about energy prices, inflation, or system lifespan.
  4. Identify and briefly discuss the main financial risks (e.g., performance variability, maintenance costs).
  5. Suggest how to present these findings to a non-financial stakeholder, focusing on the most persuasive metrics.
  6. If relevant, note how tax incentives or rebates could affect the analysis.

Output format Provide a structured analysis with sections for Assumptions, Financial Metrics, Risk Assessment, and Presentation Tips. Use tables where helpful. Keep the tone objective and professional. Aim for about 300-400 words.

Guardrails

  • Do not fabricate financial figures; use only the inputs provided or clearly stated assumptions.
  • Flag any missing data that would significantly impact the analysis.
  • Stay within the scope of financial analysis; do not provide engineering or installation advice.

Example

  • {{technology}}: "Solar panel installation"
  • {{building_type}}: "Commercial office building"
  • {{financial_inputs}}: "Installation cost: $150,000; annual energy savings: $25,000; available tax credit: 30% of cost."

Follow-up prompts

  • How would a 10% increase in energy prices affect the payback period?
  • Can you help me compare this investment against a different energy efficiency measure?
  • What sensitivity analysis should I run to test the robustness of these results?