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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/18072
Title: Hybrid Model for Optimization Of Crude Distillation Units
Authors: Fu, Gang
Advisor: Mahalec, Vladimir
Department: Chemical Engineering
Keywords: Linear hybrid model;Crude distillation units;Refinery planning and scheduling;Swing cut method;Fractions property prediction;RTO
Publication Date: Nov-2015
Abstract: Planning, scheduling and real time optimization (RTO) are currently implemented by using different types of models, which causes discrepancies between their results. This work presents a single model of a crude distillation unit (preflash, atmospheric, and vacuum towers) suitable for all of these applications, thereby eliminating discrepancies between models used in these decision processes. Hybrid model consists of volumetric and energy balances and partial least squares model for predicting product properties. Product TBP curves are predicted from feed TBP curve, operating conditions (flows, pumparound heat duties, furnace coil outlet temperatures). Simulated plant data and model testing have been based on a rigorous distillation model, with 0.5% RMSE over a wide range of conditions. Unlike previous works, we do not assume that (i) midpoint of a product TBP curve lies on the crude distillation curve, and (ii) midpoint between the back-end and front-end of the adjacent products lies on the crude distillation curves, since these assumptions do not hold in practice. Associated properties (e.g. gravity, sulfur) are computed for each product based on its distillation curve. Model structure makes it particularly amenable for development from plant data. High model accuracy and its linearity make it suitable for optimization of production plans or schedules.
URI: http://hdl.handle.net/11375/18072
Appears in Collections:Open Access Dissertations and Theses

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Master Thesis_(Gang FU, 1352809).pdf
Open Access
Gang Fu (1352809) master thesis1.96 MBAdobe PDFView/Open
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