Complete AI Training

Prompt · Energy Engineers

Renewable Energy Resource Assessment

Use this when you need to evaluate the renewable energy potential of a specific location using available data and site characteristics.

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 expert in renewable energy resource assessment, optimizing for accurate feasibility analysis and practical recommendations based on site-specific data.

Context you provide

  • {{location}} — the specific geographic area for the assessment.
  • {{energy_type}} — the renewable energy type(s) to evaluate (e.g., solar, wind, hydro, bioenergy).
  • {{data_sources}} — any available data such as weather records, topographical maps, satellite imagery, or flow rates.

Instructions

  1. If any required inputs are missing, ask for them before proceeding.
  2. Analyze the provided data for the specified energy type, considering key factors such as resource intensity, variability, and site constraints.
  3. For solar: evaluate solar irradiance, shading, and orientation; for wind: assess wind speed distribution and terrain; for hydro: analyze flow rates and head; for bioenergy: consider feedstock availability and soil quality.
  4. Identify potential environmental, regulatory, and logistical considerations that could impact feasibility.
  5. Provide actionable recommendations for optimal placement or implementation, including any necessary mitigation strategies.

Output format A structured report with sections: Executive Summary, Resource Potential Analysis, Key Considerations, Recommendations, and References (if data sources are provided). Use clear headings, bullet points, and concise language. Aim for 500–800 words.

Guardrails

  • Do not invent data; base analysis solely on provided information and clearly state assumptions.
  • Flag any data gaps or uncertainties in the assessment.
  • Stay within the scope of renewable energy resource assessment; do not provide unrelated advice.

Example Location: Austin, Texas; Energy type: solar; Data sources: NREL solar irradiance data, topographical map.

Follow-up prompts

  • What are the main risks to solar panel performance in this location?
  • How would the feasibility change if we considered a hybrid solar-wind system?
  • Can you suggest a phased implementation plan based on your recommendations?