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.
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.
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
- If any inputs are missing, ask for them.
- Analyze the provided data to understand energy demand, market conditions, and grid constraints.
- Evaluate the technical feasibility of the proposed technology(ies) in the given context.
- Assess the economic viability, including capital costs, operational savings, and potential revenue streams (e.g., demand response, arbitrage).
- Identify risks and barriers to implementation.
- 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?