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UPDATED 1 Sept: The EI library in London is temporarily closed to the public, as a precautionary measure in light of the ongoing COVID-19 situation. The Knowledge Service will still be answering email queries via email , or via live chats during working hours (09:15-17:00 GMT). Our e-library is always open for members here: eLibrary , for full-text access to over 200 e-books and millions of articles. Thank you for your patience.
Neural network modelling of distillation columns. R. Baratti, G. Vacca and A. Servida. Hydrocarbon Processing, June 1995, 74(6), 35--38.
Application of neural network modelling (NNM) is described for monitoring and control of two distillation columns at SARAS refinery in Italy. One is a butane splitter tower with 56 trays which separates normal and iso-butanes; the other is a 37 tray gasoline stabilizer unit. Advanced control systems that rely on model-based nonlinear control strategies are described. Results show the potential and versatility of NNM for developing software sensors. NNM is incorporated within a dynamic control estimator and process performance is inferred from a process model and by measuring a few state variables. 10 refs.
Abstract details
Journal title: Hydrocarbon Processing
Keywords: Computer applications
Subjects: Information technology, Information systems, Chemical Engineering, Control systems, Refining, Gasoline, Metering, monitoring and targeting, Distillation, Software
