Study On Ethylene Feedstock Optimization Based On Production Planning Model

Ethylene plays an important role in the national economy and has a decisive impact on the manufacturing cost. To guarantee the sustainable, sufficient supply of the ethylene feedstock and reduce the cost to maximize the profit, it's necessary to optimize the process of ethylene feedstock.Based on deep analyzing the global trend on ethylene optimization and the domestic situation, we make a conclusion on the factors which must be considered in the optimizing process of raw ethylene. The essence of the optimization is on how to make rational use of the hydrocarbon for the refining-manufacturing factories. The basis lies in the selection and allocation of crude oil and the key is in the optimization of manufacturing routine of naphtha. The pre-treatment technology can effectively improve the performance of naphtha cracking. Then the framework of raw ethylene optimization is formulated.By analyzing the pros and cons of various models, to meet the need of combining the production planning model and ethylene feedstock optimization, we get SPPYM (Semi-experience Pyrolysis Product Yield Model). Based on the model in the literature, we correct the kinetic parameters and improve the form to simplify formula which is easier to manipulate and implement for high precision predicting.GIOPIMS system has lots of functions as a graphic petroleum industrial simulation system. Here we apply GIOPIMS to set up the manufacturing proposal model for refining-processing all-in-one factories. And we embed the SPPYM model as a sub-primary model in the ethylene parts for optimizing the raw ethylene. Via software LINGO, we get the raw optimization proposals. And by testing it in the practical cases, more improvement has been seen on its effect.