CAJ | 학술논문

石油化工行业因生产规模大、生产工艺复杂、原料多易燃易爆,所以具有高危险性.对石化行业进行安全分析是保证安全生产的重要途径.基于石油催化裂化(FCCU)反再系统动态模型实现了再生催化剂失活、再生器稀相尾燃、反应器催化剂跑损 3 种异常工况的动态模拟.将工商管理模式的及时生产方式(just-in-time,JIT)应用于反再系统的安全分析,建立了上述 4 种异常工况的简化模型,实现了异常工况的及时识别.该方法能够有效地辨识不同状态下过程的运行规律,具有一定的可行性和优势,可以为实际生产安全提供准确、可靠的指导.将 JIT 理论用于动态过程的非线性分析,希望为动态系统的辨识提供一种新思路.
석유화공행업인생산규모대、생산공예복잡、원료다역연역폭,소이구유고위험성.대석화행업진행안전분석시보증안전생산적중요도경.기우석유최화열화(FCCU)반재계통동태모형실현료재생최화제실활、재생기희상미연、반응기최화제포손 3 충이상공황적동태모의.장공상관리모식적급시생산방식(just-in-time,JIT)응용우반재계통적안전분석,건립료상술 4 충이상공황적간화모형,실현료이상공황적급시식별.해방법능구유효지변식불동상태하과정적운행규률,구유일정적가행성화우세,가이위실제생산안전제공준학、가고적지도.장 JIT 이론용우동태과정적비선성분석,희망위동태계통적변식제공일충신사로.
Fluid catalytic cracking unit (FCCU) is one of the key processes in modern petroleum refinery, where reaction-regeneration system is the core technology. Researches about reaction-regeneration system are very active in domestic and abroad, but mainly focusing on the influences of process parameters on reactive process. Reaction-regeneration system is a complex system due to its multivariable, time-varying and nonlinear characteristics, and thus the modeling of the system of complex kinetics reactions should be studied. A dynamic model is put forward to study the operating characteristics of system. Based on the equations of material balance, energy balance, general mechanism mathematical models are established. With field data and MATLAB software to solve the kinetic parameters, a user-friendly simulation system is developed and a steady-state production is achieved. With the established simulation system as the platform, four frequently encountered abnormal conditions are simulated and their influences on some important parameters are obtained. These parameters are plotted into curves and fitted into formulas and the theory of just-in-time is applied to the dynamic nonlinear analysis. Results show that the study of dynamic security analysis of abnormal conditions in the reaction-regeneration system is effective. The simulation of process is realistic in observing changes caused by abnormal operating conditions. When the changes of important parameters are known, the theory of JIT can infer certain abnormal conditions within a certain range, and draw the changes of the specific parameters during this abnormal condition. The processes running in different states are identified effectively. The accuracy and validity of the mathematical model are tested. This paper provides a new method for the identification of dynamic systems.