Real-time visualization of the Greenhouse Gas (in terms of CO2 equivalent) footprint of electricity consumption built with d3.js and mapbox GL. Real-time data is defined as a data source with an hourly (or better) frequency, delayed by less than 2hrs. It should provide a breakdown by generation type. Often fossil fuel generation (coal/gas/oil) is combined under a single heading like 'thermal' or 'conventional', this is not a problem. Citizens should not be responsible for the emissions associated with all the products they export, but only for what they consume. Consumption-based accounting (CBA) is a very important aspect of climate policy and allows assigning responsibility to consumers instead of producers. Furthermore, this method is robust to governments relocating dirty production to neighboring countries in order to green their image while still importing from it.

Features

  • The data comes from many different sources
  • The carbon intensity of each type of power plant takes into account emissions arising from the whole life cycle of the plant
  • The Electricity Maps doesn't use scheduled generation data or make assumptions about unknown fuel mixes
  • A country that has few inhabitants but a lot of factories will appear high on CO2/capita
  • A real-time visualisation of the Greenhouse Gas (in terms of CO2 equivalent) footprint
  • Download the app on Google Play or App store

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Data Visualization Software

Registered

2022-07-13