Polypropylene (PP) makes up a large share of our plastic waste. We investigated the conversion PP over industrial Fluid Catalytic Cracking catalyst (FCC-cat) used to produce gasoline from crude oil fractions. studied transport limitations arising larger size polymers compared oil-based feedstock by testing components this separately. Infrared spectroscopy and confocal fluorescence microscopy re...

A n arti®cial neural network (ANN) model for determining the steady-state behaviour of an industrial Fluid Catalytic Cracking (FCC) unit is presented in this paper. Industrial data from a Greek petroleum re®nery were used to develop, train and check the model. FCC is one of the most important oil re®nery processes. Due to its complexity the modelling of the FCC poses a great challenge. The prop...

This paper deals with the application of two computer based model predictive control algorithms to a complex process. This process is a fluid catalytic cracking unit (FCC). The FCC model used for this study is inspired from Lee and Skogestad. The algorithms used are quadratic dynamic matrix control(QDMC) and observer base model predictive control(OBMPC). A disturbance rejection is tested by int...

Fluid catalytic cracking (FCC) is one of the major conversion technologies in the oil refinery industry. FCC currently produces the majority of the world's gasoline, as well as an important fraction of propylene for the polymer industry. In this critical review, we give an overview of the latest trends in this field of research. These trends include ways to make it possible to process either ve...

A ZSM-5 molecular sieve composite with a wide pore prepared by the solid phase in-situ synthesis method and fluid catalytic cracking, an FCC catalyst additive same for increasing amount of light olefin yield were investigated. The samples characterized XRD, N2 adsorption/desorption, SEM, NH3-TPD, respectively. results showed that structure was pure MFI-type zeolite material. crystallinity 59.8 ...

Fluid Catalytic Cracking (FCC) process is a vital unit to produce gasoline. In this research, a feed forward ANN model was developed and trained with industrial data to investigate the effect of operating variables containing reactor temperature feed flow rate, the temperature of the top of the main column and the temperature of the bottom of the debutanizer tower on quality and quantity of...