Process intensification (PI) has been identified as a means to achieve significant process improvements, while at the same time, to provide new innovative and more sustainable solutions. Join this 60-minute webinar and learn more about Computer-aided Process Intensification, the use of systematic model-based techniques to determine and analyze PI-solutions.
The search space for finding the optimal and intensified process is potentially very large due to the numerous alternatives that may need to be investigated. Therefore, use of model-based computer aided tools which help to quickly identify promising candidates that can be further studied and validated through experiment-based approaches or more detailed process analysis is an option worth considering. Furthermore, as model-based representations of process synthesis-design-intensification lead to complex mathematical problems, appropriate solution strategies together with associated computer-aided methods and tools are needed. Successful realization of CAPI depends on the solution method, its scope and significance defined through the search space covered, its limitations defined by the models and data used and its goals defined in terms of short-term or long-term applications.
In this webinar, important issues and challenges related to CAPI will be highlighted, the scope and opportunities will be discussed under “perspectives” together with illustrative examples of methods, tools and their applications.
This webinar is part of ongoing Education & Workforce Development efforts of the RAPID Manufacturing Institute. Webinars are free to RAPID Members and available to AIChE Members through use of member credits.
Presenter
Webinar content is available with the kind permission of the author(s) solely for the purpose of furthering AIChE’s mission to educate, inform and improve the practice of professional chemical engineering. The content reflects the views, opinions, and recommendations of the presenters. AIChE does not warrant or represent, expressly or by implication, the correctness or accuracy of the content of the information presented. All other uses are forbidden without the express consent of the author(s). For permission to re-use, please contact chemepermissions@aiche.org. Attendee contact information, including email addresses, will be shared with AIChE, with the option to unsubscribe from future communications.
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