“For example, you can try to reduce CO2 emissions from raw materials by using maize from the Netherlands instead of from Brazil”, Mona explains. “But that does not automatically mean that this will reduce overall emissions. Due to the warm climate in Brazil, the maize dries much faster and more naturally, whereas you have to dry maize from the Netherlands very intensively, which again costs energy. Fortunately, different sustainability aspects sometimes do go hand in hand. Processing co-products from the food industry in animal feed is beneficial for CO2 emissions, and we convert residual streams, which people do not eat, into high-quality protein via dairy, eggs or meat.”
“Because the footprint of raw materials is so important, you have to use credible and independent data to support your calculations. That’s why we use the independent, international database from GFLI where different data streams come together. Our data are becoming more comprehensive and precise. The result is that we have better knowledge and have a better sense of what and how to optimise.”