A decision support system for solvent selection of CO2 separation processes

This paper presents the development of a prototype solvent selection advisory system using an deject-oriented. The system is called the Solvent Selection Advisory System (SSAS) and it is used for preliminary selection of optimal solvents for CO2 absorbers given different user specifications and plant conditions. The system can function as both an advisory and a tutorial system. The selection of solvents is based on heuristics, and visual illustrations of the problem help users learn about the domain. In this paper, we describe development of the system using the Object-Oriented Knowledge Engineering methodology.