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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.

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 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

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the provided project description and location, identifying key technical, economic, and environmental factors.
  3. Use available data (or reasonable estimates if data is not provided) to evaluate energy output, cost projections, savings, and environmental impact.
  4. Compare the proposed project against alternative renewable technologies or configurations, considering local conditions.
  5. 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?