多杂质氢网络、水网络的统一数学规划优化法（英文）

Unified mathematical optimization method for both hydrogen and water networks with multiple contaminants

对于炼厂来说,氢气和水是重要的资源,网络集成是一种能能充分利用和节约新鲜水和氢的方法,在传统的集成方法中,无论是夹点概念分析法或者数学模型规划法,都是基于总流量和各组分的绝对浓度,将杂质和氢合并在一起进行集成,然而,炼厂加氢操作对氢气和杂质有互不相关的约束,分别为氢油比以及杂质浓度上限。水流股和氢流股有相同的流量和浓度性质,氢网络以绝对浓度为约束,但水网络用相对浓度做约束。因此多杂质的相对浓度分析不仅能节约更多的氢气,也能在理论上统一水网络与氢网络。基于基本的物性分析和相对浓度下的源阱匹配超结构,这篇文章提出一种统一的数学规划优化法,可以提高带提纯回用的多杂质氢网络水网络的资源利用效率。用两个案例来证明该方法的优势和实用性。

Hydrogen and water are important resources for refineries. Network integration is an effective way to make full use and conserve fresh hydrogen and water resources. Traditional approaches, either pinch based conceptual analysis or mathematical programming methods, are based on total flow rate and hydrogen/impurity absolute concentration, indicating hydrogen merged with contaminants. However, refinery hydroprocessing operation requires hydrogen and restrict contaminants separately, namely hydrogen to oil ratio, and impurities upper limit. Water and hydrogen streams have same properties of flow rate and concentration, and water networks adopts contaminants relative concentration while hydrogen networks are based on absolute basis. Therefore, the relative concentration analysis for multiple contaminants can not only conserve more fresh hydrogen but also unify hydrogen and water networks theoretically. Based on common property analysis and relative concentration based source-sink allocation superstructure, this paper presents a unified mathematical programming method to improve the resource utilization efficiency of multi-contaminants hydrogen and water networks with purification/regeneration reuse. Two cases are used to demonstrate the advantages and applications of the proposed method.