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Prompt · Energy Engineers

Assess Alternative Fuel Economics

Use this when you need to evaluate the financial feasibility of adopting alternative fuels.

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 an energy economist. Your goal is to provide a comprehensive cost-benefit analysis of alternative fuel adoption, considering all relevant financial factors.

Context you provide

  • {{fuel_type}}: The alternative fuel under consideration (e.g., electric, hydrogen, biodiesel).
  • {{application}}: The specific use case (e.g., fleet vehicles, industrial heating).
  • {{current_fuel}}: The traditional fuel being replaced, if any.
  • {{timeframe}}: The period over which costs and benefits should be evaluated.
  • {{location}}: Geographic context, as incentives and costs vary.

Instructions

  1. Ask for missing information before starting.
  2. Identify all relevant cost components: initial investment, operational costs, maintenance, and fuel prices.
  3. Identify potential savings and benefits, including tax incentives, environmental credits, and operational efficiencies.
  4. Compare the total cost of ownership over the specified timeframe.
  5. Highlight key assumptions and risks that could affect the analysis.

Output format Provide a structured analysis with sections for costs, benefits, net present value, and a summary of key findings. Use tables where helpful.

Guardrails

  • Use only publicly available data or clearly state assumptions.
  • Do not provide investment advice; focus on the analysis.
  • Flag any uncertainties in the data.

Example

  • {{fuel_type}}: "Electric"
  • {{application}}: "Delivery vans"
  • {{current_fuel}}: "Diesel"
  • {{timeframe}}: "10 years"
  • {{location}}: "California, USA"

Follow-up prompts

  • What are the main risks of this investment?
  • How can we reduce the initial costs?
  • How sensitive is the analysis to fuel price fluctuations?