基于MATLAB建模的延迟焦化换热网络优化  

Optimization for the heat exchanger network of delayed coking units based on MATLAB modeling

作　　者：雷杨[1] 张冰剑[1] 许永亮[1] 陈清林[1] 

机构地区：[1]中山大学化学与化学工程学院/低碳化学与过程节能广东省重点实验室,广东广州510275

出　　处：《计算机与应用化学》2013年第11期1259-1264,共6页Computers and Applied Chemistry

基　　金：国家自然科学基金项目(201076233);广东省科技计划重大专项(2010A080801003)

摘　　要：综合考虑延迟焦化装置换热实际情况,构建延迟焦化换热网络超结构。在混合整数非线性模型的基础上,通过设定不分流等假设对模型进行简化,建立了设备投资和公用工程费用权衡的数学模型。并给出了在数学规划软件MATLAB上实现模型快速求解的算法。利用枚举迭代法消除整数变量,实现混合整数非线性问题简化为非线性规划问题,大大降低了模型的求解难度,且求解得到的总费用更小。2个案例的运算结果显示,本文模型相比同步综合的混合整数非线性规划模型,年度总费用分别降低0.05%(7万元/年)和3.8%(587万元/年)。充分体现所提出的基于枚举迭代方法的NLP模型具有一定的实际应用价值。A superstructure of the heat exchanger network is built, which is suitable for the industrial delayed coking units. On the basis of mixed integer nonlinear model and assumption on no isothermal mixing, a fast solving algorithm is presented using mathematical programming software MATLAB. Enumeration and iteration methods are used to eliminate the integer variables in mixed integer nonlinear programming, which can solve the mixed integer nonlinear problem as a nonlinear programming problem with good results and less difficulty. The results of two case studies show that compared with mixed integer nonlinear programming based on simultaneous optimization, the total annual cost of the presented model decreases 0.05 % （0.07 million CNY.year-I） and 3.8 % （5.87 million CNY.year-1） respectively.

关 键 词：枚举 延迟焦化 换热网络 算法 优化设计 

分 类 号：TQ015.9[化学工程] TP391.9[自动化与计算机技术—计算机应用技术]