Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

This project will create a network for decarbonizing a Supply Chain, which could span multiple parties across industries and countries.  It will include an emissions ledger to record emissions data, a DAO for collectively deciding on decarbonization options, and a tokens network for transferring the emissions reductions (decarbonization) across the members of the network.e tokenized and traded.  

Widget Connector
urlhttps://www.youtube.com/watch?v=eNM7V8vQCg4

Use Cases

Decarbonization of supply chain, or Scope 3, emissions remains a hard problem for many reasons, even as regulatory compliance, such as the EU carbon border tax, the EU Carbon Boarder Adjustment Mechanism targeting imports of energy intense commodities, make it increasingly important.  Our solution offers the following advantages:

...

Tokens are then issued using the Emissions Tokens Network.  Transportation and shipping emissions are calculated based on standard emissions factors such as the UK Government Greenhouse Gas Reporting Factors (see below) and stored as Audited Emissions.  The CarbonTracker tokens from the Oil & Gas Methane Emissions Reduction Project will be used to calculate the actual carbon emissions of fuel based on the producer it was purchased from.  This is done by calculating the carbon intensity implied by the standard emissions factors and comparing it against the CarbonTracker tokens' fuel carbon intensity.  By presenting an Audited Emissions tokens based on the standard emissions factors and a CarbonTracker token for actual fuel purchased, the smart contract will calculate the difference and issue an additional Audited Emissions token.  This new token represents the adjustment for actual emissions based on the purchased fuel's carbon intensity, versus the "average" carbon intensity of the standard fuel.  It may be a positive or negative number, depending on the actual purchased fuel's carbon intensity versus the average.  

...

...