Abstract
This work presents a systematic framework for solvent design based on optimum economic and controllability separation process performance. The proposed framework consists of a solvent screening stage based on conceptual separation process design, where multi-objective solvent design technology is utilized combined with a data mining method in order to rapidly identify major optimum solvent-process design drives. Highly performing solvents identified in the first stage are introduced into rigorous separation process design where detailed process models enable the assessment of the steady state effects of multiple and simultaneous disturbances on the control objectives within an optimized centralized control scheme. In this respect, economically optimum solvents are identified that facilitate the controllability properties of the process in which they are utilized.
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.
