ライフサイクルシミュレーションのためのデータ同化手法の開発

抄録

This paper describes a data assimilation (DA) method for model state parameters in lifecycle simulation (LCS). DA is a self-adjustment method to decrease differences between a simulation and observed data from an actual-system by conforming the model parameters to the observations at appropriate time intervals. The proposed method applies DA to LCS for supporting product lifecycle management in terms material flow in the lifecycle. A case study on a lifecycle of a photovoltaic panel reuse business shows that the DA mechanism successfully merge observed data into material flow in a LCS model, and sequentially revise the simulation estimations.