The World Wildlife Fund invited us to find a diet that
- decreases greenhouse gas emissions by 25% from the current average,
- costs no more,
- meets national nutritional guidelines, and
- still resembles current diets.
We worked with Ribble Consultants to gather data for France, Spain, and Sweden on current consumption levels, food costs, carbon emissions, and nutritional recommendations.
The data was then used to build a linear programming models that choose foods to minimise emissions while still meeting the above constraints.
We provided monte-carlo simulations to answer questions such as: is cost a binding constraint (i.e. is a reduced carbon diet too expensive), and how should acceptability criteria be defined?
You can find out more about the project at Livewell for Low Impact Food in Europe.
sustainability research environment health nutrition linear-programming