Calculating recipe environmental impact
The calculation of the environmental impact of a recipe is done by RecipeImpactCalculator
or its wrapper impact_from_recipe()
. It is calculated by doing a sum of the ingredients masses weighted by their environmental impact. For more information about how the environmental impact of ingredients is collected, see Characterizing ingredients.
Ingredients impacts definition
The first step of recipe environmental impact calculation is to define the impact of the ingredients composing the recipe.
{
"en:foo": {
"id": "en:foo",
"environmental_impact_data_sources": [
{
"database": "agribalyse",
"entry": "Foo, production process A"
},
{
"database": "agribalyse",
"entry": "Foo, production process B"
}
],
"impacts": {
"Score unique EF": {
"unit": "mPt",
"amount": 1.46,
"uncertainty_distributions": [
{
"distribution": "uniform",
"minimum": 0.83,
"maximum": 1.76
},
{
"distribution": "normal",
"mean": 1.62,
"standard deviation": 0.257
}
]
}
}
}
}
Without uncertainty
If RecipeImpactCalculator
is instantiated with use_uncertainty=False
(by default), the impact of the ingredients will be the one specified in the amount
attribute of the environmental impact in ingredients_data.json
.
With uncertainty
If RecipeImpactCalculator
is instantiated with use_uncertainty=True
, the ingredients impacts will be defined using one randomly chosen distribution among the uncertainty distributions specified in the uncertainty_distributions
attribute of the environmental impact in ingredients_data.json
. This allows to use the LCA data uncertainty and to link several possible LCA processes to one ingredient.
Warning
Multiple calls of impact_from_recipe()
with use_uncertainty=True
may result in different outputs.