A novel model for multi-plant mixed heavy crude oils refinery planning

作     者：Xiaoqiao Huang Yangdong Hu Lijuan Song Yuzhen Zhang Dongkui Chen 

作者机构：College of Chemical Engineering China University of Petroleum (East China) Qingdao 266100 China College of Chemistry and Chemical Engineering Ocean University of China Qingdao 266100 China Liaoning Key Laboratory of Petrochemical Engineering. Liaoning Shihua University Fushun 113001 China PetroChina Qinhuangdao Fuel Oil Asphalt Co. Lrd Qinhuangdao 066000 China 

出 版 物：《Chinese Journal of Chemical Engineering》 (中国化学工程学报（英文版）)

年 卷 期：2017年第25卷第2期

页      面：202-210页

核心收录：

学科分类：081702[工学-化学工艺] 08[工学] 0817[工学-化学工程与技术] 

主　　题：Heavy crudeMixing ratioMulti plantOptimizationPlanning 

摘      要：In this paper, multi-refinery using the same heavy crude oils as raw materials is studied, while a new nonlinear model for mixed heavy crude distillation is proposed. In practical crude distillation operation, the distillate yield and product distribution of distillation units are different due to their various equipment and operating parameters, even the same ratio of raw materials is provided, so different process models for multi-refinery planning is therefore required. For process modeling, the relationships between total yields and mixing ratio of different refineries were determined, which is combined with process simulation using production data. Then,the yields and properties of crude distillation unit(CDU) fractions were calculated with the use of true boiling point(TBP) curves and property curves respectively when the initial cutting temperatures were given. Finally,in order to maximize the economic benefit of distillation, the optimal product distribution and the best mixing ratio of crude oil were calculated under the constraints of different properties of fractions. Comparing to previous models, the proposed model takes the influence of different refinery parameters on production process into account, while avoiding the complex process for determining the cutting points, which is considered more efficient and more accurate with respect to heavy crude refinery. Model was successfully verified by a case study,allowing a significant improvement of the refinery profit to be achieved.