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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:

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Doctoral dissertation by Markus Kettunen

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  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

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