Jiang Hongbo, Liao Dekang, Li Defei, Chen Yushi
Research Institute of Petroleum Processing, East China University of Science and Technology, Shanghai 200237, China.
Petro-CyberWorks Information Technology Co., Ltd., Shanghai 200050, China.
ACS Omega. 2023 Mar 3;8(10):9334-9345. doi: 10.1021/acsomega.2c07695. eCollection 2023 Mar 14.
In order to alleviate the current domestic oil shortage, China has studied the technology of using coal as the source to produce low carbon olefins, among which methanol to olefin (MTO) is an important process. Since the coke deposition of MTO catalyst is inevitable, the deactivated MTO catalysts need to be regenerated by continuous coke combustion to recover the activity. This paper used the actual industrial data to study the gas-solid two-phase fluidized bed of a SMTO regenerator and the coke combustion kinetics of the deactivated SAPO-34 catalyst, and established the mathematical model of the SMTO industrial regenerator. The kinetic parameters in the model were obtained and validated with different data, which showed that the model is reliable and can accurately predict the industrial reaction results and provide guidance for the SMTO production operation.
为缓解当前国内石油短缺的状况,中国开展了以煤炭为原料生产低碳烯烃技术的研究,其中甲醇制烯烃(MTO)是一个重要工艺。由于MTO催化剂积炭不可避免,失活的MTO催化剂需要通过连续焦炭燃烧进行再生以恢复活性。本文利用实际工业数据研究了SMTO再生器的气固两相流化床以及失活SAPO-34催化剂的焦炭燃烧动力学,并建立了SMTO工业再生器的数学模型。通过不同数据获取并验证了模型中的动力学参数,结果表明该模型可靠,能够准确预测工业反应结果,为SMTO生产操作提供指导。