Imperial College London
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DrAntonioDel Rio Chanona

Faculty of Engineering, Department of Chemical Engineering

Senior Lecturer
 
 
 
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Contact

 

a.del-rio-chanona Website

 
 
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Location

 

ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{del:2017:10.1002/aic.15877,
author = {del, Rio-Chanona EA and Zhang, D and Shah, N},
doi = {10.1002/aic.15877},
journal = {AIChE Journal},
pages = {91--103},
title = {Sustainable biopolymer synthesis via superstructure and multiobjective optimization},
url = {http://dx.doi.org/10.1002/aic.15877},
volume = {64},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - del,Rio-Chanona EA
AU  - Zhang,D
AU  - Shah,N
DO  - 10.1002/aic.15877
EP  - 103
PY  - 2017///
SN  - 0001-1541
SP  - 91
TI  - Sustainable biopolymer synthesis via superstructure and multiobjective optimization
T2  - AIChE Journal
UR  - http://dx.doi.org/10.1002/aic.15877
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000417648900009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/57185
VL  - 64
ER  -
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