Using GeTLS EXIN learning for the life cycle inventory problem

摘要

Life cycle assessment (LCA) is a method used to quantify the environmental impacts of a product, process, or service across its whole life cycle. One of the problems occurring when the system at hand involves processes delivering more than one valuable output (multi-functional processes) is the allotment of resources consumption and environmental burdens in the correct proportion amongst the products. Mathematically, this is represented by the solution of an over-determined system of linear equations. In the matrix method for the solution of the inventory problem, the system is solved by resorting to mathematical tricks to transform its rectangular coefficients matrix into a square and invertible one, inevitably introducing uncertainty in the solution.