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Evaluation of EHS hazard and sustainability metrics during early process design stages using principal component analysis
Authors:Alireza Banimostafa  Stavros Papadokonstantakis  Konrad Hungerbühler
Institution:1. Chalmers University of Technology, Department of Space, Earth and Environment, Hörsalsvägen 7b, Gothenburg, SE-41296, Sweden;2. TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Getreidemarkt 9, Vienna, 1060, Austria;3. Chalmers University of Technology, Department of Technology, Management and Economics, Vera Sandbergs Allé 8, Gothenburg, SE-41133, Sweden;1. School of Chemical Engineering, National Technical University of Athens, Iroon Polytechneiou 9, 15780 Zografou, Athens, Greece;2. Department of Space, Earth and Environment, Division of Energy Technology, Chalmers University of Technology, Hörsalsvägen 7B, 41296 Gothenburg, Sweden
Abstract:A principal component analysis (PCA) based methodology accounting for EHS hazard and sustainability metrics has been recently proposed in literature (Srinivasan and Nhan, 2008) to deal with the subjective weighting problem of existing index-based methods. In this study we evaluate the potential use of the PCA-based method during early phases of process design in the problem of selection between various synthesis paths, also called chemical routes, for the production of chemical compounds. The study also focuses on the impact of the methodology settings on the obtained chemical route rankings and their interpretation. Two case studies have been performed regarding the production of 4-(2-methoxyethyl)-phenol (MEP) and methyl methacrylate (MMA) using fifteen different evaluation categories capturing various sustainability metrics. The PCA-based method identified the most promising chemical routes as well as the most important evaluation categories. The necessity for normalization of the raw data was demonstrated, without the method being very sensitive to the type of normalization. Moreover, the effect of the transition approach from chemical step to chemical route scores is discussed. The results of the PCA-based method are also compared with an index-based method (Koller et al., 2000) sharing the same evaluation categories, as well as with other index-based frameworks in order to reveal the extent of similarities.
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