Multi-objective optimization

In this paper design and analysis of energy, exergy, economic and the environmental impacts (4E) of direct twostage reverse osmosis (RO) system have been optimized for supplying Miarkelar water, north of Iran using multiobjective optimization. In this city, water has been provided for a period of 20

This study proposes a multi-objective optimization (MOO) of reverse osmosis (RO) networks for seawater desalination. The membrane transport model takes into consideration of the longitudinal variation of the velocity, the pressure, and the concentration in the membrane modules. The RO network with t

A process optimization method has been developed for the design of reverse osmosis (RO) processes. RO process configurations are systematically generated using a flexible superstructure and evaluated by economical (investment and operating costs), technical (energy requirement, water recovery rate)