Optimization and Control of Extractive Distillation with Heat Integration for Separating Benzene/Cyclohexane Mixtures

In this work, the extractive distillation with heat integration process is extended to separate the pressure-insensitive benzene-cyclohexane azeotrope by using furfural as the entrainer. The optimal design of extractive distillation process is established to achieve minimum energy requirement using the multi-objective genetic algorithm, and the results show that energy saving for this heat integration process is 15.7%. Finally, the control design is performed to investigate the system's dynamic performance, and three control structures are studied. The pressure-compensated temperature control scheme is proposed based on the first two control structures, and the dynamic responses reveal that the feed disturbances in both flow rate and benzene composition can be mitigated well.

炼油厂燃料气系统的优化方法与应用

在深入分析炼化企业燃料气系统运行特征的基础上,通过加热炉燃料热值与效率关联分析,获取加热炉的最佳燃料热值需求。引入夹点分析法,构建基于热值的燃料气系统分析与网络优化方法,指导燃料气管网的优化改造。充分考虑炼油厂副产燃料气高附加值组分的回收过程,以燃料气系统运行效益最大化为目标,以各加热炉热值及耗量为约束,构建调度优化模型,指导燃料气系统的调度优化。某石化企业的应用表明,相关方法有效提升了燃料气系统的调度及管理水平,并取得了显著的节能减排效果。

炼化企业公用工程智能管控平台开发与应用

针对炼化企业公用工程系统的运行现状和存在的问题,开发了公用工程智能管控平台。该平台基于化验分析数据,构建低压瓦斯排放量测算模型,实现对低压瓦斯排放量的测算。同时,采用管网模拟手段,实现了管网中任意管段介质流速、压降、温降、燃料气热值、持液率等重要参数的软测量。通过构建反向传播(BP)神经网络模型,预测未来一段时间内生产装置公用工程的产耗量。以未来时间段内各生产装置公用工程的产耗预测数据为基础,以生产运行成本最低为目标,建立平衡调度优化模型,采用非线性规划算法进行寻优求解,实现公用工程的优化调度。该平台系统通过构建实时监控、统计分析、绩效考核、管网模拟、产耗预测和调度优化等功能模块,实时监控公用工程从生产、存储、输送到回收消耗的全过程,减少了低压瓦斯的异常排放,提高了公用工程的资源利用率,为炼化企业的节能环保、挖潜增效发展战略提供强有力的支撑。