How to use cccalc

CO₂ Emissions Calculator

Experimental AI agentic workflow for carbon footprint analysis

What It Does

This AI agent calculates CO₂ emissions and carbon footprints through natural conversation. Simply describe your scenario in plain English, such as:

"What is the carbon emissions for 10000 tons of sulfuryl fluoride?"

This example is provided in the chat window and makes a great starting point if you are just exploring the system. The agent will ask follow-up questions for any missing information it needs to complete your calculation.

Tips

💡 Be specific about chemicals (e.g., "SF₆" instead of just "gas")

💡 The system will ask for information (annual production volume, transportation distances, etc.). Provide the information in plain English.

💡 The agent will ask follow-up questions if information is missing

💡 Heads up: The system will ask for the GHG (Greenhouse Gas) emissions during production of the chemical you are asking about. This means: for each ton of the chemical you are interested in, how many tons of GHG (CO₂ equivalent) are emitted during production? If you do not know, just say "zero" - but be aware that this may be an important contribution you're missing. We are working on building a database with this information for different chemicals.

For more information read our blog article

Built on OpenAI GPT-4o and LangGraph for sophisticated multi-agent workflows with state persistence and human-in-the-loop capabilities.