When a single production process yields more than one product, those outputs are called co-products. A classic example is milling wheat into both flour and bran. Because these co-products share the same upstream processes (growing the wheat, transporting it, etc.), we need a fair way to distribute the total environmental impact among them. This is where allocation comes into play in Life Cycle Assessment (LCA).
The goal of LCA is to measure the environmental impact of a product or service, from raw material extraction to end-of-life. When multiple products share the same processes, it’s challenging to say which portion of the environmental footprint “belongs” to each co-product. Ideally, we try to avoid allocation altogether by subdividing processes or using system expansion (whereby additional functions are considered). However, these strategies aren’t always possible. In those cases, allocation becomes necessary.
Two widely used allocation methods are:
In many real-world scenarios, economic allocation offers a clearer picture of how impacts align with the product’s worth in the marketplace. For instance, if flour significantly outweighs bran in market value, then flour should carry a larger share of the upstream impacts.
In our video tutorial, we demonstrate how to set up economic allocation for a milling process that produces flour and bran. Here’s a quick summary:
In the tutorial, we walk through:
By the end of the video, you’ll see why we allocate impacts, how to choose the most appropriate method, and how to let CarbonGraph handle the heavy lifting of calculations.
If you’re interested in exploring physical allocation, system expansion, or other advanced LCA modeling techniques in CarbonGraph, stay tuned for future posts or reach out to us directly. And don’t forget to subscribe to our YouTube channel for more tutorials on CarbonGraph modeling and LCA best practices!
Ready to get started? Check out our latest video on economic allocation and see how simple it can be to model co-product impacts using CarbonGraph.
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