This LCA tool is developed for products originating from Danish Crown's key markets of operation: Denmark, Sweden, Germany, and Poland. Additionally, the model can potentially be expanded to include more countries in the future.
Third-party verification and alignment of our model with international standards
Danish Crown's LCA model defaults to a cause-effect-based model in line with ISO 14040 and 14044 standards, combined with a consequential modelling approach. Furthermore, the model can be adapted to calculate results based on the attributional model, specifically the EU Product Environmental Footprint (PEF) Guideline developed by the European Commission. Different purposes may require different LCA methodologies. When making decisions, a cause-effect-based approach is needed. Conversely, business-to-business LCA data often needs to align with specific guidelines, such as the EU PEF Guideline.
In 2021, Danish Crown initiated the development of our own LCA tool. The tool has been validated by independent entities, including the University of Southern Denmark, Aarhus University, and Novozymes A/S.
Maintenance and updates to the model
Recognising the critical importance of maintaining accuracy, Danish Crown remains committed to continually refining the LCA model. This ongoing commitment involves regular updates and thorough documentation of any modifications made. Anticipated improvements aim to not only enhance accuracy but also deliver more precise calculations and outcomes tailored to specific products. Improvements in the model and data may lead to changes in LCA values compared to previous calculations. To document the effect of model updates on LCA values, we record model changes and aim to implement them within clearly defined time spans.
Data collection and evaluation
Primary data is collected annually, and every year, the environmental impact is re-evaluated. Farm data is gathered for the calendar year, while production data (from abattoirs and processing facilities) follows Danish Crown's financial year.