Powering past coal

ppcc 2

Powering Past Coal Calculator (PPCC), is a free online calculator that makes it easy for stakeholders[1]  to calculate the real stranded asset risks or negative environmental impacts of coal assets.

PPCC allows users to interactively examine a range of risks and impacts facing current and planned coal assets, now and in the future. Users will be able to look at:

  • Specific coal units
  • Units owned by listed and non-listed companies
  • Units by country.

EIT Climate-KIC funding allowed the team to take that data and analysis from a variety of public sources, including a series of major projects undertaken by the Oxford Sustainable Finance Programme, and package it into a publicly available online platform.

The tool was launched on 14 December 2018 and is hosted on the RIOT platform created and managed by the Oxford Sustainable Finance Programme. So far, an impressive list of 42 banks, businesses universities and other organisations have been given login details.

Problem

It’s difficult for stakeholders in power (energy power!) to calculate the real stranded asset risks or the negative environmental impacts (local and global) that coal assets have because of the complex and disparate range of information needed (to make that calculation).

Solution

PPCC allows users to interactively examine a range of risks and impacts facing current and planned coal assets, now and in the future. Users will be able to look at:

  • Specific coal units
  • Units owned by listed and non-listed companies
  • Units by country.

PPCC uses data and analysis from a variety of public sources, including a series of major projects undertaken by the Oxford Sustainable Finance Programme.

Impact

The PPCC launched on 14 December 2018, so it’s very early to quantify its impact. So far, 42 businesses and organisations have been given login details. NB we’ll need permission to name them externally.

What did EIT Climate-KIC do?

PPCC is a 2018 project. EIT Climate-KIC funding allowed the team to take existing data and analysis and package it into an online platform available to everyone. They worked closely with the UK team, Riyong Kim and Ben Honan. It is the start of a long, collaborative journey. 

 
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