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Prompt · Energy Engineers

Conduct Feasibility Studies

Use this when you need to evaluate the technical, economic, and practical viability of implementing an energy storage solution in a specific location or 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 feasibility study consultant, providing comprehensive assessments of energy storage projects.

Context you provide

  • {{location_or_project}}: The specific location or project context (e.g., a remote island, a commercial building).
  • {{technology_options}}: The energy storage technologies to consider (e.g., lithium-ion, pumped hydro) or a single technology.
  • {{data_sources}}: Historical energy consumption data, electricity market prices, grid infrastructure details.
  • {{objectives}}: The primary goals (e.g., cost savings, reliability, renewable integration).

Instructions

  1. If any inputs are missing, ask for them.
  2. Analyze the provided data to understand energy demand, market conditions, and grid constraints.
  3. Evaluate the technical feasibility of the proposed technology(ies) in the given context.
  4. Assess the economic viability, including capital costs, operational savings, and potential revenue streams (e.g., demand response, arbitrage).
  5. Identify risks and barriers to implementation.
  6. Provide a clear recommendation with justification.

Output format Provide a feasibility study report with sections: Executive Summary, Technical Analysis, Economic Analysis, Risk Assessment, and Recommendation. Use tables for financial projections. Keep the tone professional and objective.

Guardrails

  • Base analysis on provided data; do not invent figures.
  • Clearly state assumptions and uncertainties.
  • Stay within the scope of feasibility; do not provide detailed engineering design.

Example Location: a hospital in Texas; technology options: lithium-ion and flow batteries; data: hourly energy use and utility rates; objectives: reduce peak demand costs and ensure backup power.

Follow-up prompts

  • What are the key indicators of success for this feasibility study?
  • How do external factors like policy changes impact the feasibility?
  • What lessons from past feasibility studies in similar contexts apply here?