Using Carculator Bus

Note

Many examples are given in this examples.zip file which contains a Jupyter notebook

you can run directly on your computer.

Static vs. Stochastic mode

The inventories can be calculated using the most likely value of the given input parameters (“static” mode), but also using randomly-generated values based on a probability distribution for those (“stochastic” mode). Additionally, the tool can run one-at-a-time sensitivity analyses by quantifying the effect of incrementing each input parameter value by 10% on the end-results.

Retrospective and Prospective analyses

By default, the tool produces results across thea year 2000, 2010, 2020, 2030, 2040 and 2050. It does so by adjusting efficiencies at the vehicle level, but also by adjusting certain aspects of the background inventories. The latter is done by linking the vehicles’ inventories to energy scenario-specific ecoinvent databases produced by premise.

Export of inventories

The library allows to export inventories in different formats, to be consumed by different tools and link to various databases. Among the formats available, carculator_bus can export inventories as:

  • Brightway2-compatible Excel file

  • Simapro-compatible CSV file

  • Brightway2 LCIImporter object

  • Python dictionary

The inventories cna be made compatible for:

  • ecoinvent 3.5 and 3.6, cut-off

  • REMIND-ecoinvent produced with premise

  • UVEK-ecoinvent 2.2 database