Data and environment based approach for process systems engineering

In this paper, a five-step approach coupling data science and life-cycle assessment is detailed. The main purposes of the study are to collect and analyse the process data from scientific literature, to characterize clusters, and to help the decision support in the preliminary choice of biomass or valorisation process according to the environmental indicators. The approach is tested on the comparison of rice straw and corn stover pretreatment processes for glucose production. Following the goal and scope, data architecture, life-cycle inventory, and environmental assessment steps, an impact-process matrix is analyzed in the last step using the multidimensional scaling method (MDS). The visualization of the results shows clusters that allow making a first analysis of the processes.