Simultaneous synthesis of mass separating agents and interception networks
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abstract
In this work, we introduce the new problem of simultaneously synthesizing interception networks and mass separating agents 'MSAs' (e.g. solvents). The essence of this work is to synthesize solvents in tandem with synthesizing the separation system. An optimization-based procedure is developed with the objective of minimizing the total cost for the separation of the targeted species from a set of rich sources (gaseous or liquid) via a set of synthesized solvents. The program is formulated as a mixed integer nonlinear program which employs group contribution methods to design solvents to accomplish the separation task while satisfying physical and structural property constraints. An illustrative case study on the separation of butane in an oil production plant is presented.