
A variable property is a property of an Exchange that is included as a variable in a mathematical relation of another exchange within the same dataset. This is central to establishing dynamic relationships between different exchanges in Life Cycle Assessment data modelling.
In LCA databases, exchanges within an activity dataset often have interdependencies that need to be mathematically expressed. A variable property allows one exchange's characteristics to influence the quantities or properties of other exchanges through mathematical formulas. This creates a flexible and responsive data structure where changes to one exchange automatically propagate through related exchanges according to the defined mathematical relationships.
For example, in an activity dataset representing electricity generation, the amount of fuel consumed (one exchange) might act as a variable property in formulas that calculate the resulting emissions (other exchanges). The emissions are then mathematically linked to the fuel input. When the fuel input quantity changes, the emissions are automatically recalculated based on the mathematical relationship.
This approach is useful for creating parameterised datasets where multiple exchanges depend on common variables. By using variable properties, database developers can encode the relationships between exchanges.
The use of variable properties supports both data quality and transparency, as the mathematical relationships between exchanges are explicitly documented within the dataset structure rather than being hidden in external calculations.

As Chief Operating Officer, Iris leads our organisational development and oversees day-to-day operations. Before joining 2-0, she worked in the biotechnology sector. As an LCA consultant, Iris has devoted her expertise primarily to the domains of sustainable agriculture and food production. She is dedicated to teaching LCA and is responsible for our educational efforts. Iris holds an M.Sc. in Biology – Biotechnology from the University of Copenhagen.
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Glossary terms are clearer once you have seen them applied. Our guide to what LCA is and how it works walks through the complete methodology: goal and scope, inventory modelling, impact assessment, and interpretation.
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