carculator-two-wheeler 0.1.0

Prospective life cycle assessment of two-wheelers vehicles made blazing fast

carculator_two_wheeler

Prospective life cycle assessment of two-wheelers made blazing fast.

A fully parameterized Python model developed by the Technology Assessment group of the Paul Scherrer Institut to perform life cycle assessments (LCA) of two-wheelers. Builds upon the initial LCA model developed by Cox et al. 2018.

See the documentation for more detail, validation, etc.

Why carculator_two_wheeler?

carculator_two_wheeler allows yout to:

• produce life cycle assessment (LCA) results that include conventional midpoint impact assessment indicators as well cost indicators
• carculator_two_wheeler uses time- and energy scenario-differentiated background inventories for the future, based on outputs of Integrated Asessment Model REMIND.
• calculate hot pollutant and noise emissions based on a specified driving cycle
• produce error propagation analyzes (i.e., Monte Carlo) while preserving relations between inputs and outputs
• control all the parameters sensitive to the foreground model (i.e., the vehicles) but also to the background model (i.e., supply of fuel, battery chemistry, etc.)
• and easily export the vehicle models as inventories to be further imported in the Brightway2 LCA framework or the SimaPro LCA software.

carculator_two_wheeler integrates well with the Brightway2 LCA framework.

Install

carculator_two_wheeler is at an early stage of development and is subject to continuous change and improvement. Three ways of installing carculator_two_wheeler are suggested.

We recommend the installation on Python 3.7 or above.

Installation of the latest version, using conda

conda install -c romainsacchi carculator_two_wheeler

Installation of a stable release (1.3.1) from Pypi

pip install carculator_two_wheeler

Usage

As a Python library

For more examples, see examples.

As a Web app

carculator_two_wheeler has a graphical user interface for fast comparisons of vehicles.

Support

Do not hesitate to contact the development team at [e-mail].

Maintainers

• Romain Sacchi
• Chris Mutel

Contributing

See contributing.

License

BSD-3-Clause. Copyright 2020 Paul Scherrer Institut.