炼油企业集成过程操作的生产计划优化
发布时间：2018-08-15 13:10
【摘要】：传统的炼油企业生产计划优化与过程操作优化往往是分离的,从而造成生产计划优化系统制定出的生产方案可能在实际的生产装置操作上无法实现的情况,在为了确保炼油企业生产计划制定方案可行的同时实现过程装置操作优化,本文基于流程模拟软件建立了常减压蒸馏装置生产计划与过程操作的集成优化策略。原料供应、产品市场的需求以及设备的运行状况的改变都会引起物料流程的变化,能耗也会随着物料流程改变。通常物流优化的过程中并未考虑物料过程的变化对于系统能耗的影响,从而导致企业实际生产运行过程中,实际运行的能耗一般会大于设计能耗,所以必须结合工艺建立基于多工况的能耗需求模型计算实际运行能耗。因此在本文物流集成优化的基础上,建立基于多工况的多介质能耗模型,并且与生产计划进行集成优化。最终利用炼油厂全流程仿真平台设计案例对该集成方法进行应用评价。全文共有六章组成：第一章为绪论,综述了炼油企业生产计划重要地位及发展情况,流程模拟及优化技术的应用背景及发展现状,以及炼油企业的集成技术和研究现状。针对研究现状存在的不足,提炼本研究课题的创新点,提出本文的研究目标和研究意义。第二章为常减压蒸馏装置的流程模拟及优化,介绍了原油蒸馏的工艺流程和常减压装置的工序,所使用的流程模拟软件的特点和功能。利用流程模拟软件建立了常减压装置的模型,并且基于建立的常减压装置模型进行操作优化分析。第三章为基于利用流程模拟软件建立的常减压装置稳态机理模型,根据单元装置的关键工艺参数特性,提出了一种基于流程模拟的常减压装置操作与生产计划集成优化的方法,并且给出了该方法的寻优策略。案例证明了该方法可以验证生产计划制定最优方案的可达性,并且给出操作条件,提高生产计划的准确性和可执行性。第四章针对物流优化对系统能耗造成的影响这一问题,将炼油企业的能耗分为固定能耗和可变能耗,分析了影响装置可变能耗的几个重要因素,从而建立了基于多工况的炼油企业多介质能耗模型,实现了根据物流优化的结果计算系统的能耗,在此基础上进行了与生产计划集成优化的研究。第五章在这一章节中利用建立的炼油厂全流程仿真系统,细化仿真平台的关键装置模型,将本文建立的3个生产计划模型的优化解分解成仿真指令,创建并配置其仿真场景,对生产计划做出仿真应用评价。第六章对本研究工作的主要内容进行总结,并讨论了需要进一步研究的若干设想和提议。
[Abstract]:The traditional production plan optimization and process operation optimization in oil refining enterprises are often separated, which results in the situation that the production plan made by the production plan optimization system may not be realized in the actual production plant operation. In order to ensure the feasibility of production planning and process operation optimization in oil refining enterprises, an integrated optimization strategy for production planning and process operation of atmospheric and vacuum distillation units was established based on process simulation software. The change of raw material supply, product market demand and equipment operation will lead to the change of material flow, and energy consumption will change with material flow. In the process of logistics optimization, the influence of the change of material process on the energy consumption of the system is not considered, which leads to the fact that the energy consumption of the actual operation is larger than the design energy consumption in the actual operation process of the enterprise. Therefore, it is necessary to establish the energy consumption demand model based on multi-working conditions combined with the process to calculate the actual running energy consumption. Therefore, based on the optimization of logistics integration in this paper, a multi-medium energy consumption model based on multi-working conditions is established, and integrated optimization with production planning is carried out. Finally, the application of the integration method is evaluated by using the design case of the whole process simulation platform of the refinery. There are six chapters in this paper: the first chapter is the introduction, which summarizes the important status and development of production planning, the application background and development status of process simulation and optimization technology, and the integration technology and research status of oil refining enterprises. In view of the deficiency of the present research situation, the innovation points of this research subject are refined, and the research goal and significance of this paper are put forward. The second chapter is the process simulation and optimization of atmospheric and vacuum distillation unit. The process flow of crude oil distillation and the working procedure of atmospheric and vacuum distillation unit are introduced. The characteristics and functions of the process simulation software used are introduced. The model of atmospheric and vacuum device is established by using process simulation software, and the operation optimization analysis is carried out based on the established model of atmospheric and vacuum device. The third chapter is based on the steady state mechanism model of atmospheric and vacuum unit established by process simulation software. According to the characteristics of key process parameters of unit, a method of integrated optimization of operation and production plan of atmospheric and vacuum unit based on process simulation is proposed. The optimization strategy of this method is also given. The example shows that this method can verify the reachability of the optimal plan of production plan, and give the operating conditions to improve the accuracy and the executable of the production plan. In chapter 4, aiming at the influence of logistics optimization on system energy consumption, the energy consumption of refining enterprises is divided into fixed energy consumption and variable energy consumption, and several important factors affecting the variable energy consumption of the plant are analyzed. A multi-medium energy consumption model based on multi-working conditions is established, and the energy consumption of the system is calculated according to the result of logistics optimization. On this basis, the integrated optimization with production planning is studied. In the fifth chapter, by using the whole process simulation system of refinery, the key unit model of the simulation platform is refined, and the optimization solution of the three production planning models established in this paper is decomposed into simulation instructions, and the simulation scene is created and configured. Make the simulation application evaluation to the production plan. The sixth chapter summarizes the main contents of this study and discusses some ideas and suggestions for further study.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE62
[Abstract]:The traditional production plan optimization and process operation optimization in oil refining enterprises are often separated, which results in the situation that the production plan made by the production plan optimization system may not be realized in the actual production plant operation. In order to ensure the feasibility of production planning and process operation optimization in oil refining enterprises, an integrated optimization strategy for production planning and process operation of atmospheric and vacuum distillation units was established based on process simulation software. The change of raw material supply, product market demand and equipment operation will lead to the change of material flow, and energy consumption will change with material flow. In the process of logistics optimization, the influence of the change of material process on the energy consumption of the system is not considered, which leads to the fact that the energy consumption of the actual operation is larger than the design energy consumption in the actual operation process of the enterprise. Therefore, it is necessary to establish the energy consumption demand model based on multi-working conditions combined with the process to calculate the actual running energy consumption. Therefore, based on the optimization of logistics integration in this paper, a multi-medium energy consumption model based on multi-working conditions is established, and integrated optimization with production planning is carried out. Finally, the application of the integration method is evaluated by using the design case of the whole process simulation platform of the refinery. There are six chapters in this paper: the first chapter is the introduction, which summarizes the important status and development of production planning, the application background and development status of process simulation and optimization technology, and the integration technology and research status of oil refining enterprises. In view of the deficiency of the present research situation, the innovation points of this research subject are refined, and the research goal and significance of this paper are put forward. The second chapter is the process simulation and optimization of atmospheric and vacuum distillation unit. The process flow of crude oil distillation and the working procedure of atmospheric and vacuum distillation unit are introduced. The characteristics and functions of the process simulation software used are introduced. The model of atmospheric and vacuum device is established by using process simulation software, and the operation optimization analysis is carried out based on the established model of atmospheric and vacuum device. The third chapter is based on the steady state mechanism model of atmospheric and vacuum unit established by process simulation software. According to the characteristics of key process parameters of unit, a method of integrated optimization of operation and production plan of atmospheric and vacuum unit based on process simulation is proposed. The optimization strategy of this method is also given. The example shows that this method can verify the reachability of the optimal plan of production plan, and give the operating conditions to improve the accuracy and the executable of the production plan. In chapter 4, aiming at the influence of logistics optimization on system energy consumption, the energy consumption of refining enterprises is divided into fixed energy consumption and variable energy consumption, and several important factors affecting the variable energy consumption of the plant are analyzed. A multi-medium energy consumption model based on multi-working conditions is established, and the energy consumption of the system is calculated according to the result of logistics optimization. On this basis, the integrated optimization with production planning is studied. In the fifth chapter, by using the whole process simulation system of refinery, the key unit model of the simulation platform is refined, and the optimization solution of the three production planning models established in this paper is decomposed into simulation instructions, and the simulation scene is created and configured. Make the simulation application evaluation to the production plan. The sixth chapter summarizes the main contents of this study and discusses some ideas and suggestions for further study.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE62
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