Separation Synthesis of Several Multicomponent Feeds onto Several Multicomponent Products

研究的目标是使用数学规划技术 为了更好地理解分离的一般问题， 将几种多组分原料转化为几种多组分产品 可以（或可以不）具有进料的所有组分的料流 溪流 方法是生成一个包含以下内容的上层结构 所有可能的分离序列嵌入，制定 作为非线性规划问题（NLP）的结果优化问题 然后用一些标准的算法来解决这个NLP问题。 解决这一 NLP产生要使用的分离任务，这些任务的顺序 任务发生，相应的流速和组成的 相互连接的溪流。 将对这些药物进行调查， 将热积分纳入这些算法。 由于实用 成本是非常高的蒸馏塔，经济优势 热集成的性能会显著影响产品的成本。 两个或多个蒸馏塔的热集成是可能的 因为存在不止一个热源（塔顶蒸气和 塔底产物）和热沉（通过塔底产物的进料和再循环流）。 再沸器）。

The goal of the research is to use mathematical programming techniques to obtain a better understanding of the general problem of separation of several multicomponent sources into several multicomponent product streams which may (or may not) have all the components of the feed streams. The approach is to generate a superstructure that contains all possible separation sequences imbedded into, formulating the resulting optimization problem as a nonlinear programming problem (NLP) and solving that NLP by some standard algorithm. The solution to this NLP yields the separation tasks to be used, the order in which these tasks occur and the corresponding flow rates and compositions of the inter - connecting streams. Routines will be investigated that will incorporate heat integration into these algorithms. Because utility costs are very high for distillation columns, the economic advantages of heat integration can substantially affect the cost of the product. Heat integration of two or more distillation columns is possible because there exist more than one heat source (overhead vapor and bottoms product) and heat sink (feed and recycle streams through the reboiler).