Modeling CO2 Removal via Hollow Fiber Modules | AIChE
Sponsor: COMSOL | This webinar is sponsored by COMSOL and reflects their views, opinions, and insights. Attendance is free.

Modeling CO2 Removal via Hollow Fiber Modules

 

LIMITED TIME OFFER: Claim a 20% discount on eLearning courses with code ELEARN20.

Offer is valid from April 1-30. Credential programs excluded from promo. 

Are you involved in CO2 removal? Are you focused—like many engineers—on the use of solvents? There’s another method of CO2 removal using highly selective membranes. Take this webinar to learn more.

Join Carnegie Mellon research engineer Grigorios Panagakos and COMSOL technology specialist Hamid Ghanbari as they demonstrate the use of simulation in the COMSOL Multiphysics® software to optimize the geometry and operating conditions of a hollow fiber module for carbon capture. This live webinar takes place on Thursday, August 30, 2018, from 2:00-3:00 pm ET.

In this 60-minute sponsored webinar, the live demo will involve building a single-fiber, 2D axisymmetric and multiphysics model that is capable of providing accurate velocity and concentration profiles. You’ll learn how to use such a model with state-of-the-art description of the complex transport phenomena taking place for optimizing the geometrical features and operating conditions of a hollow fiber module. This webinar will also demonstrate how to compare calculations with experimental results for calibration and validation. Get your questions answered during a Q & A session at the end of the webinar.

Take a look at your agenda:

  • Carbon capture technologies—an indispensable pillar for revolutionizing fossil fuel usage
  • The use of highly selective membranes for CO2 removal
  • Comparing calculations for calibration and validation purposes

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.

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  • Source:
    Sponsored
  • Language:
    English
  • Skill Level:
    Intermediate
  • Duration:
    1 hour
  • PDHs:
    0.00