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_wheeleruses 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 carculator_two_wheeler@psi.ch.
Maintainers
Contributing
See contributing.
License
BSD-3-Clause. Copyright 2020 Paul Scherrer Institut.
Metadata
Release files for carculator-two-wheeler 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| carculator_two_wheeler-0.1.0.tar.gz | 46.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| carculator_two_wheeler-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 90.9 kB
Release files / carculator_two_wheeler-0.1.0.tar.gz
| Download URL | carculator_two_wheeler-0.1.0.tar.gz |
|---|---|
| Size | 46.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/5.1.1 CPython/3.9.20
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Release files / carculator_two_wheeler-0.1.0-py3-none-any.whl
| Download URL | carculator_two_wheeler-0.1.0-py3-none-any.whl |
|---|---|
| Size | 44.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
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