On-line optimization of a model IV fluid catalytic cracking unit

Chitnis, Umesh K.; Corripio, Armando B.

doi:10.1016/s0019-0578(98)00028-7

Cited by 16 publications

(4 citation statements)

References 8 publications

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“…Several studies have also been carried out on the optimization of FCCUs. − Most of them use some type of a profit-function as the objective. Some of the commonly used decision variables in these studies are the regenerator temperature, reactor temperature, catalyst circulation rate and the air supply rate.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of Industrial FCC Units Using Elitist Nondominated Sorting Genetic Algorithm

Kasat

Kunzru

Saraf

et al. 2002

Ind. Eng. Chem. Res.

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This study provides insights into the optimal operation of the fluidized-bed catalytic cracking unit (FCCU). A five-lump model is used to characterize the feed and the products. The model is tuned using industrial data. The elitist nondominated sorting genetic algorithm (NSGA-II) is used to solve a three-objective function optimization problem. The objective functions used are maximization of the gasoline yield, minimization of the air flow rate, and minimization of the percent CO in the flue gas using a fixed feed (gas oil) flow rate. The decision variables and several important state variables corresponding to the optimal conditions of operation are obtained. The optimal solutions correspond to the unstable, saddle-kind, middle steady states. The procedure used is quite general and can be applied to other industrial FCCUs. The optimal results obtained here provide physical insights that can help one in obtaining and interpreting such solutions.

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Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of Industrial FCC Units Using Elitist Nondominated Sorting Genetic Algorithm

Kasat

Kunzru

Saraf

et al. 2002

Ind. Eng. Chem. Res.

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“…The control and optimization of FCC converters has already been the subject of many studies. Optimization of this process has been made through MPC (Odloak et al 1995) and steady-state RTO (Chitnis and Corropio 1998;Zanin et al, 2000a). NMPC has also been applied (Ali and Elnashaie, 1997) as well as other RTO strategies, such as optimization in the same layer as advanced control (Odloak et al, 2002;Gouvêa and Odloak, 1998).…”

Section: Brazilian Journal Of Chemical Engineeringmentioning

confidence: 99%

Dynamic optimization of a FCC converter unit: numerical analysis

Secchi

2011

Braz. J. Chem. Eng.

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Fluidized-bed Catalytic Cracking (FCC) is a process subject to frequent variations in the operating conditions (including feed quality and feed rate). The production objectives usually are the maximization of LPG and gasoline production. This fact makes the FCC converter unit an excellent opportunity for real-time optimization. The present work aims to apply a dynamic optimization in an industrial FCC converter unit, using a mechanistic dynamic model, and to carry out a numerical analysis of the solution procedure. A simultaneous approach was used to discretize the system of differential-algebraic equations and the resulting large-scale NLP problem was solved using the IPOPT solver. This study also does a short comparison between the results obtained by a potential dynamic real-time optimization (DRTO) against a possible steady-state real-time optimization (RTO) application. The results demonstrate that the application of dynamic real-time optimization of a FCC converter unit can bring significant benefits in production

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“…We particularly note the efforts by Arbel et al and McFarlane et al in this regard. Subsequent authors , use similar techniques and models to identify control schemes and yield behavior. However, most of the earlier work uses a very simplified reaction chemistry (yield model) to represent the process kinetics.…”

Section: Introductionmentioning

confidence: 99%

Predictive Modeling of Large-Scale Integrated Refinery Reaction and Fractionation Systems from Plant Data. Part 2: Fluid Catalytic Cracking (FCC) Process

Pashikanti

Liu

2011

Energy Fuels

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This work presents the methodology to develop, validate, and apply a predictive model for an integrated fluid catalytic cracking (FCC) process. We demonstrate the methodology using data from a commercial FCC plant in the Asia Pacific with a feed capacity of 800 000 tons per year. Our model accounts for the complex cracking kinetics in the riserÀregenerator with a 21-lump kinetic model. We implement the methodology with Microsoft Excel spreadsheets and a commercial software tool, Aspen HYSYS/ Petroleum Refining from Aspen Technology, Inc. The methodology is equally applicable to other commercial software tools. This model gives accurate predictions of key product yields and properties given feed qualities and operating conditions. In addition, this work presents the first lumped FCC kinetic model integrated with a gas plant model in the literature. We validate this work using 6 months of plant data. We also perform several case studies to show how refiners may apply this work to improve the gasoline yield and increase unit throughput. A key application of the integrated FCC model is to generate DELTAÀBASE vectors for linear programming (LP)-based refinery planning to help refiners choose an optimum slate of crude feeds. DELTAÀBASE vectors quantify changes in FCC product yields and properties as functions of changes in feed and operating conditions. Traditionally, refiners generated DELTAÀBASE vectors using a combination of historical data and correlations. Our integrated model can eliminate guesswork by providing more robust predictions of product yields and qualities. This work differentiates itself from previous work in this area through the following contributions: (1) detailed models of the entire FCC plant, including the overhead gas compressor, main fractionator, primary and sponge oil absorber, primary stripper, and debutanizer columns, (2) process to infer molecular composition required for the kinetic model using routinely collected bulk properties of feedstock, (3) predictions of key liquid product properties not published alongside previous related work (density, ASTM D86 distillation curve, and flash point), (4) case studies showing industrially useful applications of the model, and (5) application of the model with an existing LP-based planning tool.

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On-line optimization of a model IV fluid catalytic cracking unit

Cited by 16 publications

References 8 publications

Multiobjective Optimization of Industrial FCC Units Using Elitist Nondominated Sorting Genetic Algorithm

Multiobjective Optimization of Industrial FCC Units Using Elitist Nondominated Sorting Genetic Algorithm

Dynamic optimization of a FCC converter unit: numerical analysis

Predictive Modeling of Large-Scale Integrated Refinery Reaction and Fractionation Systems from Plant Data. Part 2: Fluid Catalytic Cracking (FCC) Process

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