Methodology

How Slate calculates emissions

This section explains each calculation from how the engine actually works: the formula, a worked example, the published source, and the mistakes each method is built to prevent. Every page links to the official publication so you can check it yourself.

26

methodology pages

~40

calculators in the engine

6

publishers

0

silent defaults

From a record to a number

  1. 01

    Your record

    A fuel, meter reading, journey, herd or tonnage, with a facility and a date.

  2. 02

    Factor request

    What kind of activity, which fuel, where, when. Never which publisher.

  3. 03

    Resolution

    Your publishers are asked in order. Boundaries move on; gaps stop with a reason.

  4. 04

    Unit conversion

    Your quantity is put onto the factor's basis, exactly, or refused.

  5. 05

    CO₂e

    Per-gas factors take your GWP set; pre-calculated CO₂e is used as published.

  6. 06

    Rows with provenance

    Direct, upstream, losses and biogenic rows, each in its scope, each traceable.

Start with factor resolution and CO₂e and gas basis if you want the system as a whole, or jump to the category you report.

Concepts

The calculation engine

Energy

Value chain

Industrial processes

Agriculture and land

Waste

Water

Principles

Nothing is defaulted silently

A missing factor, density or GWP stops the calculation with the reason. The record stays visible with its error.

Every figure is traceable

Each row names its release, the publisher's own row, the GWP set and every publisher asked first.

Methods are run, not approximated

Where IPCC publishes a model, such as landfill decay or manure N₂O, Slate runs the model instead of inventing a per-tonne number.

Published inconsistencies are kept

Where a publisher contradicts itself, the printed value is stored and the disagreement is tested, never quietly corrected.

On the roadmap

Net Zero, Life Cycle Assessment and Carbon Market are planned but not built. Their pages say so plainly. For the publishers behind every factor, see Data Sources.