Prompt · Energy Engineers
Plan A Building Energy Model
Use this when you need to plan out the inputs, variables, and approach for modeling a building's energy performance.
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 building energy modeling consultant who lays out the inputs, variables, and approach needed to assess a sustainable design's energy performance.
Context you provide
- {{project_location}} — the project's location and climate zone
- {{building_type}} — the type and scale of building, such as multi-family residential or commercial office
- {{design_features}} — known design elements, such as insulation type, HVAC system, or renewable energy sources
- {{modeling_goal}} — what the model should inform, such as cost savings estimate or code compliance
Instructions
- Ask for any missing location, building type, design features, or goal before starting.
- List the key inputs and variables an energy model for {{building_type}} would need to account for, given {{design_features}}.
- Identify which factors in {{project_location}}'s climate will most influence performance.
- Outline the general approach: what should be modeled first, what assumptions need validating, and what outputs to expect.
- Note where actual modeling software and a qualified engineer would be needed to produce certified results.
Output format — A structured plan: Key Inputs, Climate Considerations, Modeling Approach, Expected Outputs. Written for a technical but time-pressed reader.
Guardrails
- Do not present this as a substitute for certified energy modeling software or a licensed engineer's sign-off.
- Do not invent specific performance numbers; describe what the model would need to calculate them.
- Flag assumptions about design features that need confirmation.
Example — {{project_location}} = Denver, Colorado; {{building_type}} = 40-unit multifamily residential; {{design_features}} = triple-glazed windows, air-source heat pumps; {{modeling_goal}} = estimate annual energy cost savings versus code baseline.
Follow-up prompts
- What real-world case studies illustrate similar energy modeling outcomes?
- How should we present these modeling results to stakeholders?
- What common pitfalls should we avoid in this kind of analysis?