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A water treatment case study for quantifying model performance with multilevel fl ow modeling
Emil K. Nielsen,Mads V. Bram,Jerome Frutiger,Gürkan Sin,Morten Lind 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.4
Decision support systems are a key focus of research on developing control rooms to aid operators inmaking reliable decisions and reducing incidents caused by human errors. For this purpose, models ofcomplex systems can be developed to diagnose causes or consequences for specific alarms. Modelsapplied in safety systems of complex and safety-critical systems require rigorous and reliable modelbuilding and testing. Multilevel flow modeling is a qualitative and discrete method for diagnosing faultsand has previously only been validated by subjective and qualitative means. To ensure reliability duringoperation, this work aims to synthesize a procedure to measure model performance according todiagnostic requirements. A simple procedure is proposed for validating and evaluating the concept ofmultilevel flow modeling. For this purpose, expert statements, dynamic process simulations, and pilotplant experiments are used for validation of simple multilevel flow modeling models of a hydrocycloneunit for oil removal from produced water.