Sustainable biopolymer synthesis via superstructure and multiobjective optimization |
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| Authors: | Ehecatl Antonio del Rio‐Chanona Dongda Zhang Nilay Shah |
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| Affiliation: | 1. Centre for Process Systems Engineering, Dept. of Chemical Engineering, Imperial College London, South Kensington Campus, London, U.K.;2. Dept. of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge, U.K.;3. Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London, U.K. |
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| Abstract: | Sustainable polymers derived from biomass have great potential to replace petrochemical based polymers and fulfill the ever‐increasing market demand. To facilitate their industrialization, in this research, a comprehensive superstructure reaction network comprising a large number of reaction pathways from biomass to both commercialized and newly proposed polymers is constructed. To consider economic performance and environmental impact simultaneously, both process profit and green chemistry metrics are embedded into the multiobjective optimization framework, and MINLP is used to enable the effective selection of promising biopolymer candidates. Through this proposed approach, this study identifies the best biopolymer candidates and their most profitable and environmentally friendly synthesis routes under different scenarios. Moreover, the stability of optimization results regarding the price of raw materials and polymers and the effect of process scale on the investment cost are discussed in detail. These results, therefore, pave the way for future research on the production of sustainable biopolymers. © 2017 American Institute of Chemical Engineers AIChE J, 63: 91–103, 2018 |
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| Keywords: | sustainable biopolymer superstructure optimization multiobjective optimization green chemistry metrics MINLP |
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