Sharif Digital Repository

In this project Visbreaker furnace was modeled and optimized. For this goal, Lobo & Evans method and refinery data was used. Effect of parameters such as, excess air, stack height, decoking period, burn out and fuel heat value were investigated. Among optimization method, genetic algorithm and MITA (Musical Instrument Tempering Algorithm) were used to minimizing cost function of furnace. Also based on Zone method, profiles of properties of process fluid were obtained. Finally fuzzy logic was used for furnace behavior identification  

In this study the kinetic modeling of visbreaking reactions of heavy oils was investigated using available experimental data from the literatures. The continuous lumping model was developed for kinetic analysis of visbreaking reactions. The normalized boiling point was used to describe the reactant mixture as a continuous mixture and the concentration distribution of the mixture would change under reaction conditions. The continuous model with five adjustable parameters was used to describe visbreaking reactions and these parameters were optimized for each feed and reaction temperatures in the range of 400 to 430ºC using the available experimental data. Therefore for a special feed in a... 

Process optimization is a technique by which the plant operating condition is obtained such that a specific objective is achieved while the other process requirements are still met. These requirements can include product quality specifications, physical equipment limitations, and the constraints corresponding to the environmental, health, and safety issues. Frequently, this objective is an economic one. In the process optimization, the use of improper optimization techniques may lead to impractical results. One of these strategies is the plant wide optimization. In order to show the effect of plant wide optimization, one should use a complicated enough process as a bench mark of the...