Framework and computational tool for the consideration of time dependency in Life Cycle Inventory: proof of concept

• We propose a conceptual model for building time dependent LCIs.
• It is based on dynamic Production model and Supply model.
• Time dependent LCI is solved by a dynamic graph search algorithm.
• A proof of concept of numerical implementation is given on a test bed case.

Conventional Life Cycle Inventories (LCIs) are static models of product systems without time dependent functioning of plants and time lags between supply and demand of products. The aggregation of environmental interventions without consideration of the time dimension represents an acknowledged limitation of the Life Cycle Assessment (LCA) method. In this paper we present a novel conceptual and computational framework for the consideration of time dependency in LCIs. Process modeling is used to describe the production flows and environmental interventions of each unit process and supply modeling is used to include time lags on the raw materials exchanged by unit processes of the product system. The combination of production and supply models in life cycle networks, based on a set of specific temporal parameters (representative functioning period, production time, supply delay, supply frequency), allows the characterization of time dependency in each node. For the computation of time dependent LCI, i.e. of the time resolved environmental interventions, graph search algorithm is proposed and implemented in a prototype Web application. In terms of results, the new approach provides time dependent LCI expressed as: i) time as a function of individual emission (or resource consumption) for individual processes, ii) aggregated time as a function of a given environmental intervention. A test bed case illustrating the effectiveness of the conceptual and computational approaches (proof of concept) is presented and successfully solved both analytically and numerically.

Figure optionsDownload as PowerPoint slide