A general predictive model for sweeping gas membrane distillation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F18%3A43915949" target="_blank" >RIV/60461373:22310/18:43915949 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0011916418302406?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0011916418302406?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.desal.2018.06.007" target="_blank" >10.1016/j.desal.2018.06.007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A general predictive model for sweeping gas membrane distillation

Popis výsledku v původním jazyce

Among the configurations of membrane distillation processes, sweeping gas membrane distillation (SGMD) remains one of the less studied. In spite of an increasing number of publications, generally the modeling of SGMD has been carried out by fitting heat and mass transfer coefficients and with the use of empirical correlations. In this work, a general predictive model based on computational fluid dynamics (CFD) is presented. This model allows simulating hollow fiber and flat sheet configurations under wide range of process conditions; with a minimum number of input data and without requiring empirical parameters or laboratory experiments. For this purpose, the momentum, mass and heat balances of the process are described by partial differential equations, algebraic and ordinary differential equations. The model has been validated with experimental results available in the literature. Indeed, the influence of operating conditions and membrane geometric characteristics on the process performance was investigated. The conducted studies prove that the proposed model would be potentially applied for the optimization of process conditions, design of membrane modules as well as for the further cost estimation of the process. © 2018 Elsevier B.V.

Název v anglickém jazyce

A general predictive model for sweeping gas membrane distillation

Popis výsledku anglicky

Among the configurations of membrane distillation processes, sweeping gas membrane distillation (SGMD) remains one of the less studied. In spite of an increasing number of publications, generally the modeling of SGMD has been carried out by fitting heat and mass transfer coefficients and with the use of empirical correlations. In this work, a general predictive model based on computational fluid dynamics (CFD) is presented. This model allows simulating hollow fiber and flat sheet configurations under wide range of process conditions; with a minimum number of input data and without requiring empirical parameters or laboratory experiments. For this purpose, the momentum, mass and heat balances of the process are described by partial differential equations, algebraic and ordinary differential equations. The model has been validated with experimental results available in the literature. Indeed, the influence of operating conditions and membrane geometric characteristics on the process performance was investigated. The conducted studies prove that the proposed model would be potentially applied for the optimization of process conditions, design of membrane modules as well as for the further cost estimation of the process. © 2018 Elsevier B.V.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20402 - Chemical process engineering

Projekt

<a href="/cs/project/LO1613" target="_blank" >LO1613: Výzkum nových materiálů pro chemický průmysl</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Desalination

ISSN

0011-9164

e-ISSN

—

Svazek periodika

443

Číslo periodika v rámci svazku

OCT 1 2018

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

22

Strana od-do

285-306

Kód UT WoS článku

000442333000027

EID výsledku v databázi Scopus

2-s2.0-85049480967