A Novel Close-loop Strategy for Integrating Process Operations of Fluidized Catalytic Cracking Unit with Production Planning Optimization

Wang, Ruqiang; Li, Chufu; He, Xiangming; Chen, Bingzhen

doi:10.1016/s1004-9541(09)60015-x

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…2) includes absorption column, desorption column, reabsorber and stabilization column [5,6]. Although feed modes of the desorption column industrially include hot feeding, cold feeding and double feeding, the third mode is adopted herein for its energy-saving prevalence in the last 20 years, with the cold distributary at top and another one at middle of the column after heated by stable gasoline [7]. The quality index and simulation results of absorption-stabilization system are shown in Table 3.…”

Section: Flowsheet Simulation Of the Prototype Fccu Eectification Systemmentioning

confidence: 99%

Design and Optimization FCCU Absorption-Stabilization System through Process Simulation

Liu

Sun

Lan

et al. 2011

AMR

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In this preparation, FCCU main fractionator and corresponding absorption-stabilization system are systemically simulated on the basis of industrial data. Through analysis, a heat exchanging column is added to improve the flowsheet before rich gas cooler to make good use of heat of the compressed rich gas. To decrease LPG lost along with dry gas, a dry gas compression-expansion refrigeration circle is proposed to offer refrigeration capacity in place of the cooling water for the absorber pumparounds. Compared with the regular scheme, energy consumption and C3+ components in dry gas is reduced respectively by 17.18% and 7.16% and LPG yield is increased by 0.41% simultaneously.

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Section: Flowsheet Simulation Of the Prototype Fccu Eectification Systemmentioning

confidence: 99%

Design and Optimization FCCU Absorption-Stabilization System through Process Simulation

Liu

Sun

Lan

et al. 2011

AMR

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“…Three case studies were analysed, in which NSGA‐II‐JG obtains solutions for the multi objective optimisation in almost one‐fifth of the CPU time as compared with NSGA‐II. Wang et al (2008) studied a novel close‐loop integrated strategy to determine a practically feasible optimal plan through GIOPIMS (Graphic I/O Petrochemical Industry Modelling System) and corresponding operating conditions of a FCC unit. A generalised GA coupled with the simulator was applied to search operating conditions implementing the quasi optimal plan of FCCU generated with GIOPIMS.…”

Section: Introductionmentioning

confidence: 99%

Fluid catalytic cracking optimisation using factorial design and genetic algorithm techniques

et al. 2012

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Statistical techniques coupled with genetic algorithm (GA) were used to identify optimal values of key operational variables in fluid catalytic cracking (FCC) process. A Kellog Orthoflow F fluid catalytic cracking process model was considered. It is known as a highly nonlinear process with a large number of variables with strong interactions among them. A reduced process model was obtained through factorial design technique to be used as a process function in the optimisation work giving as result the operational conditions that maximise conversion without infringing operational restrictions with savings in computational burden and time. An increase of 8.71% in process conversion was achieved applying GA as optimisation technique.Les techniques statistiques coupléesà l'algorithme génétique ontété utilisées pour identifier les valeurs optimales des principales variables opérationnelles du procédé de craquageà catalyseur fluide. Un modèle du procédé de craquageà catalyseur fluide Kellog Orthoflow F aété utilisé. Ce procédé, renommé pourêtre fortement non-linéaire, possède un grand nombre de variables ayant de fortes interactions entre elles. Un modèle réduit de ce procédé, obtenu via l'élaboration d'un plan factoriel, aété utilisé pour déterminer conditions optimales d'opération qui maximisent la conversion tout en respectant les contraintes d'exploitation. De plus, la complexité et le temps de calcul ontété avantageusement réduits. Une augmentation de 8.71% de la conversion aété réalisée grâceà l'application de l'algorithme génétique comme technique d'optimisation.

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“…Resultados experimentais concordam com os preditos, produzindo rendimentos de gasolina na ordem de 80% e atingindo o padrão de gasolina com conteúdo da fração olefínica restrito a não mais do que 18%.Kasat e Gupta (2003), propuseram uma adaptação inspirada na genética natural de um código de algoritmo genéico binário elitista não-dominado (NSGA-II) com o conceito de gen tipo jump (JG) para produzir um novo código nomeado NSGA-II-JG para ,assim, obter soluções da otimização multiobjetivo de um modelo de FCC, que apresenta alta carga computacional. Três estudos de caso foram analisados, nos quais o código NSGA-II-JG obteve soluções para a otimização multiobjetivo com redução do tempo computacional em 1/5, quando comparado com o código NSGA-II Wang et al (2008). estudou uma nova estratégia integrada em laço fechado para determinar um plano ótimo viável através de GIOPIMS (Graphic I/O Petrochemical Industry Modeling System), assim como as correspondentes condições operacionais da unidade de FCC.…”

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Estratégia alternativa de otimização em duas camadas de uma unidade de craqueamento catalítico-FCC

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A Novel Close-loop Strategy for Integrating Process Operations of Fluidized Catalytic Cracking Unit with Production Planning Optimization

Cited by 7 publications

References 10 publications

Design and Optimization FCCU Absorption-Stabilization System through Process Simulation

Design and Optimization FCCU Absorption-Stabilization System through Process Simulation

Fluid catalytic cracking optimisation using factorial design and genetic algorithm techniques

Estratégia alternativa de otimização em duas camadas de uma unidade de craqueamento catalítico-FCC

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