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This doctoral dissertation by Markus Kettunen presents a fault-tolerant control (FTC) strategy designed to mitigate the impact of faults in sensors, analyzers, and actuators within an industrial dearomatization process. Funded by the Academy of Finland, the project aimed to enhance process performance and profitability at the Neste Oil Naantali refinery. Key results include improved control performance, higher product quality, reduced off-spec production, lower energy consumption, and enhanced profitability, achieving a payback period of less than one year for the FTC strategy implementation.
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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: • 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
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
