1 / 3

Doctoral dissertation by Markus Kettunen

Fault tolerant model predictive controller; an application to an industrial dearomatization process. Doctoral dissertation by Markus Kettunen. Project description. Duration: 04/2006-06/2010 Project funding: Academy of Finland Project goals:

tokala
Download Presentation

Doctoral dissertation by Markus Kettunen

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Fault tolerant model predictive controller; an application to an industrial dearomatization process Doctoral dissertation by Markus Kettunen

  2. Project description • Duration: 04/2006-06/2010 • Project funding: Academy of Finland • Project goals: • Develop a data-based FTC strategy for countering the effects of faults in the control system sensors, analyzers and actuators • Improve the performance and profitability of the industrial dearomatization process located at Neste Oil Naantali refinery, Finland

  3. Project results • Improved control performance and quality of end products • Lower off-spec production • Lower energy consumption • Enhanced profitability • Less than a year payback period for the implementation of the FTC strategy to the target process

More Related