Solubility equilibria. From data optimization to process simulation

Solubility equilibria. From data optimization to process simulation*

Models that accurately predict solid–solute phase equilibria in aqueous electrolyte solutions are of mounting importance for numerous industrial processes, especially those operating at high temperatures, pressures, and concentrations. The incorporation of such electrolyte models into process simulators is in great demand. This communication will focus on thermodynamically consistent models tha...

-From Properties to Process Simulation

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Integration of Process Simulation and Data Mining Techniques for the Analysis and Optimization of Process Systems

An Application of Multiobjective Optimization to Process Simulation

We study multiobjective optimization problems arising from chemical process simulation. Interactive multiobjective optimization method NIMBUS, developed at the University of Jyväskylä, is combined with the BALAS process simulator, developed at the Technical Research Center of Finland, in order to provide a new interactive tool for designing chemical processes. Continuous interaction between the...

Modeling, Simulation and Optimization of Process Planning

Designing of production systems from the standpoint of necessary resources for carrying out the production process for many years present an important set of engineering tasks. In the scope of design of production systems, in addition to design of process planning, it is necessary to make the determination of normative parameters, by which the effectiveness of the production process will achiev...