The presented work addresses the integrated design of solvent molecules with separation and reactive-separation process systems. The proposed design philosophy relies on extensive structural optimization both at the solvent and process synthesis stage and allows the identification of solvent molecules based on process performance criteria. It employs multi-objective optimization technology in order to capture the manifold trends and trade-offs characterizing the solvent design space, while avoiding the introduction of unnecessary biases or user defined assumptions. The obtained solvent design information is effectively incorporated into the process synthesis stage through the use of data mining techniques in the form of clustering. The process synthesis framework is sufficiently flexible to accommodate for separation or reactive-separation superstructures of the most general type. The presented method is illustrated through examples on the design of solvents for liquid-liquid extraction, gas-absorption, extractive distillation and extractive fermentation processes.
- Multiobjective optimization
- Reaction- separation process synthesis
- Solvent synthesis
ASJC Scopus subject areas
- Chemical Engineering(all)
- Computer Science Applications