Skip to main content

Unit definitions for integrated-assessment research

Project description

PyPI version Build status

© 2020–2022 IAM-units authors; licensed under the GNU GPL version 3.

The file definitions.txt gives Pint-compatible definitions of energy, climate, and related units to supplement the SI and other units included in Pint’s default_en.txt. These definitions are used by:

and may be used for research in integrated assessment, energy systems, transportation, or other, related fields.

Please open a GitHub issue or pull request to:

  • Add more units to definitions.txt.

  • Add your usage of iam-units to this README.

  • Request or contribute additional features.

Usage

iam_units.registry is a pint.UnitRegistry object with the definitions from definitions.txt loaded:

>>> from iam_units import registry

# Parse an energy unit defined by iam-units
>>> qty = registry('1.2 tce')
>>> qty
1.2 <Unit('tonne_of_coal_equivalent')>

>>> qty.to('GJ')
29.308 <Unit('gigajoule')>

To make the registry from this package the default:

>>> import pint
>>> pint.set_application_registry(registry)

# Now used by default for pint top-level classes and methods
>>> pint.Quantity('1.2 tce')
1.2 <Unit('tonne_of_coal_equivalent')>

Warnings

iam_units overwrites Pint’s default definitions in the following cases:

pint default

iam_units

Note

‘kt’ = knot [velocity]

‘kt’ = 1000 metric tons

‘kt’ is commonly used for emissions in the IAM-context.

Technical details

Emissions and GWP

The function convert_gwp() converts from mass (or mass-related units) of one specific greenhouse gas (GHG) species to an equivalent quantity of second species, based on global warming potential (GWP) metrics. The supported species are listed in species.txt and the variable iam_units.emissions.SPECIES.

The metrics have names like <IPCC report>GWP<years>, where <years> is the time period over which heat absorption was assessed. The supported metrics are listed in the variable iam_units.emissions.METRICS.

>>> qty = registry('3.5e3 t').to('Mt')
>>> qty
3.5 <Unit('megametric_ton')>

# Convert from mass of N2O to GWP-equivalent mass of CO2
>>> convert_gwp('AR4GWP100', qty, 'N2O', 'CO2')
0.9275 <Unit('megametric_ton')>

# Using a different metric
>>> convert_gwp('AR5GWP100', qty, 'N2O', 'CO2')
1.085 <Unit('megametric_ton')>

The function also accepts input with the commonly-used combination of mass (or related) units and the identity of a particular GHG species:

# Expression combining magnitude, units, *and* GHG species
>>> qty = '3.5 Mt N2O / year'

# Input species is determined from *qty*
>>> convert_gwp('AR5GWP100', qty, 'CO2')
1.085 <Unit('megametric_ton / year')>

Strictly, the original species is not a unit but a nominal property; see the International Vocabulary of Metrology (VIM) used in the SI. To avoid ambiguity, code handling GHG quantities should also track and output these nominal properties, including:

  1. Original species.

  2. Species in which GWP-equivalents are expressed (e.g. CO₂ or C)

  3. GWP metric used to convert (1) to (2).

To aid with this, the function format_mass() is provided to re-assemble strings that include the GHG species or other information:

# Perform a conversion
>>> qty = convert_gwp('AR5GWP100', '3.5 Mt N2O / year', 'CO2e')
>>> qty
927.5 <Unit('megametric_ton / year')>

# Format a string with species and metric info after the mass units of *qty*
>>> format_mass(qty, 'CO₂-e (AR5)', spec=':~')
'Mt CO₂-e (AR5) / a'

See Pint’s formatting documentation for values of the spec argument.

Data sources

The GWP unit definitions are generated from the package globalwarmingpotentials. The version of that package used to generate the definitions is stated in the variable iam_units.emissions.GWP_VERSION.

See DEVELOPING.rst for details on updating the definitions.

Tests and development

Use pytest iam_units --verbose to run the test suite included in the submodule iam_units.test_all. See DEVELOPING.rst for further details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iam_units-2022.6.14.tar.gz (32.8 kB view details)

Uploaded Source

Built Distribution

iam_units-2022.6.14-py3-none-any.whl (34.3 kB view details)

Uploaded Python 3

File details

Details for the file iam_units-2022.6.14.tar.gz.

File metadata

  • Download URL: iam_units-2022.6.14.tar.gz
  • Upload date:
  • Size: 32.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for iam_units-2022.6.14.tar.gz
Algorithm Hash digest
SHA256 57a9fc65d8b37f329cac1db862a2d77a79761d00537ef9a1b9a42a4ce1e0ea9c
MD5 8b3c3262426c484152e37da55eb4753e
BLAKE2b-256 322f1636e678368d3bb64e69f823cede27f18dc227305e048d814aa70eca54fc

See more details on using hashes here.

File details

Details for the file iam_units-2022.6.14-py3-none-any.whl.

File metadata

File hashes

Hashes for iam_units-2022.6.14-py3-none-any.whl
Algorithm Hash digest
SHA256 36ba0fbe12fa520038e8b5488b3cdcc08f35908dad1cfb5824fae6f98353bbb0
MD5 e730047a19f14b61f1f93945ebef4559
BLAKE2b-256 f0e58c255137f80eebf125c055983e18ff87d149ffdb50b1f9537fce3a5de285

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page