Abstract
An optimal design strategy for spiral-wound membrane networks based on an approximate permeator model and a mixed-integer nonlinear programming (MINLP) solution strategy is proposed. A general permeator system superstructure is used to embed a very large number of possible network configurations. The superstructure allows the development of a MINLP design strategy which simultaneously optimizes the permeator configuration and operating conditions to minimize an objective function which approximates the total annual process cost. Case studies for the separation of CO 2/CH 4 mixtures in natural gas treatment and enhanced oil recovery are presented. Permeator configurations are derived for different number of separation stages for both continuous and discrete membrane areas. The proposed approach provides an efficient methodology for the preliminary design of multi-stage membrane separation systems for binary gas mixtures.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
