TY - JOUR
T1 - A superstructure-based framework for bio-separation network synthesis
AU - Wu, Wenzhao
AU - Yenkie, Kirti
AU - Maravelias, Christos T.
N1 - Funding Information:
This work was funded by National Science Foundation through the Emerging Frontiers in Research and Innovation program ( EFRI-1240268 ), and the DOE Great Lakes Bioenergy Research Center (DOE Office of Science BER DE-FC02-07ER64494 ).
Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2017/1/4
Y1 - 2017/1/4
N2 - Modern biotechnologies enable the production of chemicals using engineered microorganisms. However, the cost of downstream recovery and purification steps is high, which means that the feasibility of bio-based chemicals production depends heavily on the synthesis of cost-effective separation networks. To this end, we develop a superstructure-based framework for bio-separation network synthesis. Based on general separation principles and insights obtained from industrial processes for specific products, we first identify four separation stages: cell treatment, product phase isolation, concentration and purification, and refinement. For each stage, we systematically implement a set of connectivity rules to develop stage-superstructures, all of which are then integrated to generate a general superstructure that accounts for all types of chemicals that can be produced using microorganisms. We further develop a superstructure reduction method to solve specific instances, based on product attributes, technology availability, case-specific considerations, and final product stream specifications. A general optimization model, including short-cut models for all technologies, is formulated. The proposed framework enables preliminary synthesis and analysis of bio-separation networks, and thus estimation of separation costs.
AB - Modern biotechnologies enable the production of chemicals using engineered microorganisms. However, the cost of downstream recovery and purification steps is high, which means that the feasibility of bio-based chemicals production depends heavily on the synthesis of cost-effective separation networks. To this end, we develop a superstructure-based framework for bio-separation network synthesis. Based on general separation principles and insights obtained from industrial processes for specific products, we first identify four separation stages: cell treatment, product phase isolation, concentration and purification, and refinement. For each stage, we systematically implement a set of connectivity rules to develop stage-superstructures, all of which are then integrated to generate a general superstructure that accounts for all types of chemicals that can be produced using microorganisms. We further develop a superstructure reduction method to solve specific instances, based on product attributes, technology availability, case-specific considerations, and final product stream specifications. A general optimization model, including short-cut models for all technologies, is formulated. The proposed framework enables preliminary synthesis and analysis of bio-separation networks, and thus estimation of separation costs.
KW - Global optimization
KW - Mixed integer nonlinear programing
KW - Process optimization
KW - Renewable chemicals
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U2 - 10.1016/j.compchemeng.2016.10.007
DO - 10.1016/j.compchemeng.2016.10.007
M3 - Article
AN - SCOPUS:84994504703
SN - 0098-1354
VL - 96
SP - 1
EP - 17
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
ER -