Abstract
Energy-efficient distillation systems can be achieved through the mathematical optimisation of distillation sequencing in which heat integration is simultaneously considered. Genetic algorithms have been employed to optimise the most appropriate sequences based on both simple and complex columns for a given separation requirement, with rigorous economic trade-offs between energy and capital costs used in the determination of distillation sequence. Thermodynamic and economic performance of distillation columns has been simulated and measured with short-cut models, while a conceptual decomposition method has been applied for evaluating complex columns. An incidence matrix has been proposed to identify the optimal heat recovery between available heat sources and sinks existing in the distillation sequence. Two case studies have been presented to demonstrate the importance of considering heat integration simultaneously in the optimisation of distillation sequencing, and 8–17% of overall cost savings have been achieved, compared to the conventional synthesis method.
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 callMore From: Journal of the Taiwan Institute of Chemical Engineers
Disclaimer: 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.
