Metadata-Version: 2.4
Name: premise_gwp
Version: 0.9.10
Summary: Import IPCC's GWP100a method, with biogenic CO2 CFs, into Brightway2
Author-email: Romain Sacchi <romain.sacchi@psi.ch>
License: BSD-3-Clause
Project-URL: Homepage, https://github.com/romainsacchi/premise_gwp
Project-URL: Repository, https://github.com/romainsacchi/premise_gwp
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: bw2io
Requires-Dist: bw2data
Requires-Dist: requests
Requires-Dist: pyyaml
Requires-Dist: numpy<2.0.0
Dynamic: license-file

# `premise_gwp`

Import the official IPCC's GWP20a/GWP100a characterization factors into Brightway2, with the addition of
hydrogen and biogenic CO<sub>2</sub> uptake and release flows. This is needed when using
[premise](https://github.com/polca/premise) -generated LCI databases for two reasons:
* in some scenarios, hydrogen-based supply chains (and associated losses) are significant
* some scenarios rely on Bioenergy with carbon capture and storage (BECCS), Direct Air capture (DAC),
and any other forms of storage using biomass or atmospheric resources.
Without it, negative emission technologies (NET) do not yield a net negative
carbon footprint.

## Impact category

This adds:

* IPCC 2013 and 2021, climate change, GWP 20/100a, with hydrogen
  * "Hydrogen", with a CF of 33 and 11 for GWP20 and GWP100 respectively.
  * Biogenic methane with a CF reduced by 2.75 kg CO2-eq. compared to fossil methane, as per Muñoz and Schmidt, DOI: 10.1007/s11367-016-1091-z.
  
* IPCC 2013 and 2021, climate change, GWP 20/100a, with hydrogen and bio CO2
  * Biogenic methane with a CF similar to that of fossil methane, as per Muñoz and Schmidt, DOI: 10.1007/s11367-016-1091-z.
  * "Hydrogen", with a CF of 33 and 11 for GWP20 and GWP100 respectively.
  * "Carbon dioxide, in air", with a CF of -1
  * "Carbon dioxide, non-fossil, resource correction", with a CF of -1
  * "Carbon dioxide, non-fossil", with a CF of +1

The biogenic carbon balance in the rest of the ecoinvent database should be correct.
Hence, using this method, instead of the regular IPCC GWP method, should not
yield any difference, as long as BECCS or other CDR technologies, are not present and solicited in the database.

The characterization factors for the global warming impact GWP100a of for hydrogen 
is taken from [Warwick et al, 2022](https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1067144/atmospheric-implications-of-increased-hydrogen-use.pdf).

## Limitation

Now works with ``bw2io 0.8.7`` and newer Brightway biosphere imports, including
ecoinvent 3.10, 3.11, and 3.12 biosphere flow names. If an IPCC 2021-compatible
biosphere is present, IPCC 2021 methods will be installed, otherwise IPCC 2013
methods will be installed.

## Usage

In an open Brightway2 project:
```python
from premise_gwp import add_premise_gwp
add_premise_gwp()
```

## Installation

`pip install premise_gwp`

or

`conda install -c romainsacchi premise_gwp`
