Sponsored Webinar: Model-Based Design & Operational Optimization of Distillation Systems This webinar is sponsored by Process Systems Enterprise (PSE) and reflects their views, opinions, and insights. Attendance to this webinar is free. Originally delivered Oct 23, 2013 Developed by: Sponsored Type: Archived WebinarLevel: Advanced Duration: 1 hour Share This Post: Preview Webinar: This presentation covers model-based design and operational optimization of continuous distillation processes. Distillation is the most frequently used unit operation for separations. Despite decades of simulation, many distillation columns remain thermodynamically inefficient as well as costly to build and operate. Recent developments in equation-based modeling allow for major advances in distillation optimization, including optimal feed tray location and number of stages. The presentation demonstrates the model-based design using case examples including ethylene production, air separation units, propylene oxide production, Petlyuk columns and whole plant optimization including both the reaction and separation sections. Presenter(s): Bart de Groot Bart de Groot has more than 7 years experience providing model-based solutions to the process industries. His technical experience includes chemical & petrochemical processes, energy conversion systems pulp & paper and metals. He has a M. Sc. from Delft University of Technology in the Netherlands.Read more Checkout Checkout Do you already own this? Log In for instructions on accessing this content. Pricing AIChE Members Free AIChE Undergraduate Student Members Free AIChE Graduate Student Members Free Non-Members $0.00 Sponsored webinars bring technical information from reputable firms and suppliers to AIChE members. The content reflects the views, opinions, and recommendations of the sponsoring organization. AIChE does not warrant or represent, expressly or by implication, the correctness or accuracy of the content of the information presented. As between (1) the AIChE, the presenter and author(s) of this work, their employers, and their employers' officers and directors, and (2) the user/viewer of this work, the user/viewer accepts any legal liability or responsibility whatsoever for the consequence of its use or misuse. Contact information for attendees of this webinar, including email address, will be shared with the sponsoring firm. You will always have the opportunity to unsubscribe from email from that organization.