Seung Joon Kim

TL;DR: In this article, the authors reviewed over 100 papers to elucidate factors influencing large-scale seawater desalination plants with reverse osmosis networks (SWRO) and the future direction of SWRO technology.

TL;DR: In this article, the authors presented a novel methodology to determine an optimized control method for feed water temperature in a seawater reverse osmosis (SWRO) desalination process using genetic programming (GP) which is an evolutionary algorithm used to determine functional forms through training data.

TL;DR: In this article, two mathematical models were developed for the simulation of SWRO processes dependent on seawater quality in macroscopic and microscopic contexts, respectively, and the microscopic dynamic model revealed that concentration polarization in the vicinity of the membrane surface and permeate concentration are affected by the feed seawater concentration and pressure.

TL;DR: In this article, the authors proposed a new operation methodology for energy saving in the Fujairah seawater reverse osmosis (SWRO) plant, as the optimum feed pressure is determined at the controlled operating temperature.

TL;DR: In this article, a package of process models was developed and tested by four-year SWRO plant operation data obtained from Fujairah in UAE, as a tool not only for simulating the performance of SWRO desalination process but for estimating the total profits of the plant operation.