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.