Stengel Jake P, Lehr Austin L, Aboagye Emmanuel A, Chea John D, Yenkie Kirti M
Department of Chemical Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey08028, United States.
Ind Eng Chem Res. 2023 Jan 20;62(5):2090-2103. doi: 10.1021/acs.iecr.2c02920. eCollection 2023 Feb 8.
Solvents are used in chemical and pharmaceutical industries as a reaction medium, selective dissolution and extraction media, and dilution agents. Thus, a sizable amount of solvent waste is generated due to process inefficiencies. Most common ways of handling solvent waste are on-site, off-site disposal, and incineration, which have a considerable negative environmental impact. Solvent recovery is typically not used because of potential difficulties in achieving required purity guidelines, as well as additional infrastructure and investments that are needed. To this end, this problem must be studied carefully by involving aspects from capital needs, environmental benefits, and comparison with traditional disposal methods, while achieving the required purity. Thus, we have developed a user-friendly software tool that allows engineers to easily access solvent recovery options and predict an economical and environmentally favorable strategy, given a solvent-containing waste stream. This consists of a maximal process flow diagram that encompasses multiple stages of separations and technologies within those stages. This process flow diagram develops the superstructure that provides multiple technology pathway options for any solvent waste stream. Separation technologies are placed in different stages; depending on the component, they can separate in terms of their physical and chemical properties. A comprehensive chemical database is created to store all relevant chemical and physical properties. The pathway prediction is modeled as an economic optimization problem in General Algebraic Modeling Systems (GAMS). With GAMS code as the backend, a Graphical User Interface (GUI) is created in Matlab App Designer to provide a user-friendly tool to the chemical industry. This tool can act as a guidance system to assist professional engineers and provide an easy comparative estimate in the early stages of process design.
溶剂在化学和制药行业中用作反应介质、选择性溶解和萃取介质以及稀释剂。因此,由于工艺效率低下会产生大量的溶剂废物。处理溶剂废物最常见的方法是现场处理、场外处置和焚烧,这些方法对环境有相当大的负面影响。由于难以达到所需的纯度标准,以及需要额外的基础设施和投资,通常不采用溶剂回收。为此,必须从资本需求、环境效益以及与传统处置方法的比较等方面进行仔细研究,同时要达到所需的纯度。因此,我们开发了一个用户友好的软件工具,使工程师能够轻松获取溶剂回收选项,并在给定含溶剂废物流的情况下预测经济且环境友好的策略。这包括一个最大工艺流程示意图,涵盖了多个分离阶段以及这些阶段内的技术。该工艺流程示意图构建了上层结构,为任何溶剂废物流提供了多种技术路径选项。分离技术置于不同阶段;根据组分的不同,它们可以依据物理和化学性质进行分离。创建了一个综合化学数据库来存储所有相关的化学和物理性质。路径预测在通用代数建模系统(GAMS)中被建模为一个经济优化问题。以GAMS代码作为后端,在Matlab App Designer中创建了一个图形用户界面(GUI),为化学工业提供一个用户友好的工具。这个工具可以作为一个指导系统,协助专业工程师,并在工艺设计的早期阶段提供简单的比较估计。