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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- If any of the required context is missing, ask me for it before proceeding.
- 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).
- Clearly state any assumptions you make about energy prices, inflation, or system lifespan.
- Identify and briefly discuss the main financial risks (e.g., performance variability, maintenance costs).
- Suggest how to present these findings to a non-financial stakeholder, focusing on the most persuasive metrics.
- 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?