摘 要
催化重整装置作为现代石油炼制工业中的关键环节，对提高汽油辛烷值和生产芳烃具有重要意义。本研究以某石化企业实际运行的催化重整装置为对象，针对其工艺优化与模拟展开系统性分析。研究背景基于当前能源需求增长与环保要求日益严格的大趋势，旨在通过改进工艺条件提升装置效率并降低能耗。研究采用Aspen Plus软件进行工艺流程模拟，并结合遗传算法对关键操作参数如反应温度、压力及氢油比等进行优化设计。通过对不同催化剂活性衰减情况的建模，进一步探讨了其对产品分布和能耗的影响。结果表明，在优化条件下，C5+液收提高了1.2个百分点，氢气产率提升了0.8个百分点，同时能耗降低了约5%。此外，创新性地提出了一种基于动态响应特性的多目标优化策略，有效平衡了经济效益与环境影响。该研究的主要贡献在于为类似催化重整装置提供了科学的优化方法与实践参考，同时为实现绿色炼化目标奠定了理论基础。关键词：催化重整；工艺优化；Aspen Plus模拟；遗传算法；能耗降低
Abstract
The catalytic reforming unit, as a critical component of modern petroleum refining industry, plays a significant role in enhancing gasoline octane ratings and producing aromatics. This study focuses on the systematic analysis of process optimization and simulation for an actual operating catalytic reforming unit at a petrochemical enterprise. The research context is rooted in the growing energy demand and increasingly stringent environmental regulations, aiming to improve the efficiency of the unit and reduce energy consumption through optimized process conditions. Aspen Plus software was employed for process flow simulation, combined with genetic algorithms to optimize key operational parameters such as reaction temperature, pressure, and hydrogen-to-oil ratio. Additionally, modeling of different catalyst activity decay scenarios further explored their impacts on product distribution and energy consumption. The results indicate that under optimized conditions, the C5+ liquid yield increased by 1.2 percentage points, hydrogen production rose by 0.8 percentage points, and energy consumption decreased by approximately 5%. Furthermore, an innovative multi-ob jective optimization strategy based on dynamic response characteristics was proposed, effectively balancing economic benefits and environmental impacts. The primary contribution of this study lies in providing a scientific optimization methodology and practical reference for similar catalytic reforming units, while laying a theoretical foundation for achieving green refining and chemical processing goals..
Key Words：Catalytic Reforming；Process Optimization；Aspen Plus Simulation；Genetic Algorithm；Energy Consumption Reduction
目 录
摘 要 I
Abstract II
第1章 绪论 1
1.1 催化重整装置的研究背景与意义 1
1.2 国内外催化重整工艺优化研究现状 1
1.3 本文研究方法与技术路线 2
第2章 催化重整装置的工艺原理与建模分析 3
2.1 催化重整反应机理概述 3
2.2 工艺流程与关键参数解析 3
2.3 数学模型的构建与验证 4
2.4 模型在工艺优化中的应用潜力 4
第3章 催化重整装置的工艺优化策略研究 6
3.1 温度对重整性能的影响分析 6
3.2 压力条件下的工艺优化探讨 6
3.3 催化剂选择与寿命管理优化 7
3.4 多因素耦合的综合优化方案 7
第4章 催化重整装置的模拟仿真与结果分析 9
4.1 模拟软件的选择与适用性评估 9
4.2 工艺参数敏感性分析与优化验证 9
4.3 模拟结果与实际运行数据对比分析 10
4.4 优化后经济效益与环境效益评价 10
结 论 12
参考文献 13
致 谢 14
