(198c) Development of Accurate Crude Unit Model from Operating Data to Improve Refinery Profitability
AIChE Spring Meeting and Global Congress on Process Safety
2016
2016 AIChE Spring Meeting and 12th Global Congress on Process Safety
2nd Big Data Analytics
Big Data Analytics and Fundamental Modeling I
Tuesday, April 12, 2016 - 9:00am to 9:30am
This work presents a single model of a crude distillation unit (preflash, atmospheric, and vacuum towers) suitable for planning, scheduling, and RTO. The model (“hybrid model”) combines first principles mass and energy balances with via partial least squares model of product TBP curves base on the feed TBP curve and operating conditions (flows, pumparound heat duties, furnace coil outlet temperatures). This enables prediction of crude distillation on par with a rigorous distillation model, with 0.5% RMSE over a wide range of conditions. Associated properties (e.g. gravity, sulfur) are computed for each product based on its distillation curve and corresponding property distribution in the feed.
We compare production planning results based on the swing-cut models and on the hybrid CDU model. For a given crude mix, refinery plan is optimized by selecting the best operating modes for the downstream process units and the best blend recipes. CDU is modelled either via swing-cut multi-mode unit or via hybrid model which can compute the best operating conditions for a given crude mix. We present the case studies for the swing-cut model with the bias terms added to the product yields and compare it to the plans based on the hybrid model of CDU.
Our case studies show that inaccurate CDU models can lead to huge reductions in refinery profits.
References:
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Castillo Castillo, P.A., Mahalec, V., 2014, Inventory pinch based multi-scale model for refinery production planning, in Klemes, J.J., Varbanov, P.S., Liew, P.Y., ESCAPE-24, Budapest
Fu, G., Sanchez, Y., Mahalec, V., 2015, Hybrid Model for Optimization of Crude Oil Distillation Units, AIChE J., DOI 10.1002/aic.15086
Guerra, O.J., Le Roux, A.C., 2011, Improvements in petroleum refinery planning: 1. Formulation of process models, Ind. Eng. Chem. Res., 50, 13404-13418