Versions Compared

Key

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

...

  • Energy use data, which could come from any combination of
    • Utility channel – This would be a ledger for the utility bills, set up by utility or its service provider, for its customers.  It would issue tokens for each customer based on the carbon footprint of their energy purchased, which would be calculated based on the utility bill for the customers and the utility's overall emissions.
    • UPS log data – Uninterrupted Power Supply (UPS) for the servers which could provide a log of power use by the servers.  This could then be used to estimate the HVAC costs for the servers based on models of cooling requirements for the server's space.  This method could be used when the data center does not have its own meter or utility bill and is instead aggregated with other building or campus utility bills.
    • Server utilization data – This could come directly from the servers themselves, which could report their up time and load levels.  This data could then be combined with models of energy use for the servers and their required HVAC to come up with energy usage.  This would be useful for determining the effects of software running on the servers.  
  • RECs and carbon offsets from the Emissions Tokens Network Project 

The data center would subscribe to all of the above channels and use the tokens to calculate its energy use with a smart contract which:

...

We could implement this MVP application using the True TCO Calculator for Data Centers, as described in this Uptime Institute white paper.      

References

...