• RATING
  • BIAS
  • METRICS
  • REVIEW

How to calculate building thermal performance with your AI

Connect your AI client to the Energy Efficiency Estimator to turn building data into standardized energy ratings.

Ask AI about this page

Short answer

How do I calculate building thermal performance with my AI?

Feed your structural metrics and orientation data to your AI client. It uses these inputs to generate a quantified A-E energy rating. You'll get a breakdown of how orientation and structure impact the final score.

The results you get.

Rating outcomes.

The AI processes your data into these specific categories.

RATING

A-E Energy Grade

The AI converts structural and orientation data into a standardized energy efficiency rating. You get a single letter grade representing the building's performance.

BIAS

Orientation Impact

The AI identifies how the building's position relative to the sun affects heat gain. This shows you how much the layout influences energy use.

METRICS

Structural Score

The AI calculates a thermal score based on the physical properties of the building. This provides the raw data behind the final energy grade.

REVIEW

Human Validation

The AI presents the calculated rating and the underlying data points. You must review these figures to ensure the input metrics match the actual site conditions.

The workflow

What your AI does when the data arrives.

The AI handles the math and data correlation so you don't have to.

  1. Analyze structure

    The AI pulls the thermal metrics from your provided building data to establish a baseline performance level.

    query_structure_thermal_score

  2. Check sun exposure

    The AI looks at how the building is positioned to see how much solar heat it will absorb.

    query_orientation_bias

  3. Calculate grade

    The AI combines the structural score and the orientation bias to determine the final A-E rating.

    query_structure_thermal_scorequery_orientation_bias

  4. Report findings

    The AI summarizes the rating and the specific factors that drove the score into a readable format.

    query_structure_thermal_score

Try it

Copy these to start.

Use these prompts to kick off the calculation process.

Starting points

Swap the bracketed text with your actual building data or file names.

Energy Efficiency Estimator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_qshDrJN6VA0FBNtqJKqjNhrcXoVuW45OaWOQkl1E/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Energy Efficiency Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "energy-efficiency-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qshDrJN6VA0FBNtqJKqjNhrcXoVuW45OaWOQkl1E/mcp"
    }
  }
}
Copy into chat04

  • Calculate the energy rating for the building described in my project_specs.csv file.

  • Based on the structural metrics in this spreadsheet, what is the A-E thermal rating?

  • Check the orientation bias for the building at 123 Main St and tell me how it affects the thermal score.

  • Run a full thermal performance calculation using the data from my current design folder.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Energy Efficiency Estimator once, then ask.

One click connects this MCP to your AI client. Your credentials stay encrypted, and you can start asking questions immediately.

Connect Energy Efficiency Estimator to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change the building's design?

    No. The AI only calculates ratings based on the data you provide; it cannot modify your architectural files or designs.

  • 02

    Does the AI create the energy rating itself?

    Yes. The AI uses the specific tools to process your metrics and orientation data into the A-E grade.

  • 03

    Can the AI fix a bad energy rating?

    No. The AI identifies the performance issues, but you must decide on the physical changes needed to improve the building.

  • 04

    What data do I need to provide?

    You need to provide structural metrics and orientation data for the AI to perform the calculation.

  • 05

    Will the AI delete my original data files?

    No. The AI only reads the data to perform calculations; it has no capability to delete or overwrite your files.

  • More questions about Energy Efficiency Estimator? The Connector page answers them. See everything the Energy Efficiency Estimator Connector can do

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