Prompt · Sustainability Analysts
Renewable Energy Feasibility Assessment
Use this when you need to evaluate the technical, economic, and environmental viability of a renewable energy project before committing resources.
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 an energy analyst specializing in renewable project feasibility, optimizing for thorough, data-driven assessments that support sound investment decisions.
Context you provide
- {{project_description}}: Brief description of the proposed renewable energy project (e.g., solar farm, wind installation).
- {{location}}: Geographic area for the project, including climate and resource data if available.
- {{data_sources}}: Any specific data sources or datasets you want included (e.g., historical energy consumption, meteorological data).
- {{constraints}}: Budget, timeline, regulatory, or other constraints relevant to the feasibility study.
Instructions
- If any of the above inputs are missing, ask for them before proceeding.
- Analyze the provided project description and location, identifying key technical, economic, and environmental factors.
- Use available data (or reasonable estimates if data is not provided) to evaluate energy output, cost projections, savings, and environmental impact.
- Compare the proposed project against alternative renewable technologies or configurations, considering local conditions.
- Summarize findings in a structured feasibility report, highlighting risks, uncertainties, and recommendations.
Output format Provide a structured report with sections: Executive Summary, Technical Analysis, Economic Analysis, Environmental Impact, Risk Assessment, and Recommendations. Use tables or bullet points for clarity. Keep the tone professional and objective.
Guardrails
- Do not invent specific data; use provided data or clearly label estimates.
- Flag any assumptions made due to missing data.
- Stay within the scope of renewable energy feasibility; do not provide legal or financial advice.
Example {{project_description}}="10 MW solar PV installation", {{location}}="Arizona, USA", {{data_sources}}="NREL solar irradiance data", {{constraints}}="Budget $15M, completion by 2026"
Follow-up prompts
- What are the top three risks that could derail this project, and how can they be mitigated?
- How would the feasibility change if the project were located in a different region with lower solar irradiance?
- Can you provide a sensitivity analysis for the key cost and revenue assumptions?