Process water recovery via forward osmosis: membrane and integrated process development.


Journal

Water science and technology : a journal of the International Association on Water Pollution Research
ISSN: 0273-1223
Titre abrégé: Water Sci Technol
Pays: England
ID NLM: 9879497

Informations de publication

Date de publication:
Jun 2020
Historique:
entrez: 14 8 2020
pubmed: 14 8 2020
medline: 15 8 2020
Statut: ppublish

Résumé

This work reports on efforts to develop an integrated continuous forward osmosis system for the recovery of water from wastewater streams, highlighting critical process parameters to minimize energy consumption. Forward osmosis experiments were performed using NaCl draw solutions of various concentrations and the intrinsic membrane parameters (water permeability, draw solution permeability, and structural parameter) were then determined via nonlinear regression using MATLAB. The experimental data were then used to validate a theoretical water flux model, which was subsequently applied to simulate the forward osmosis performance under different hydrodynamic conditions using both NaCl and TMA-CO

Identifiants

pubmed: 32784274
doi: 10.2166/wst.2020.256
doi:

Substances chimiques

Membranes, Artificial 0
Waste Water 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2291-2299

Auteurs

J Martin (J)

University of Toronto, 200 College St., Toronto, ON M5S 3H7, Canada E-mail: vladimiros.papangelakis@utoronto.ca.

G Kolliopoulos (G)

University of Toronto, 200 College St., Toronto, ON M5S 3H7, Canada E-mail: vladimiros.papangelakis@utoronto.ca.

V G Papangelakis (VG)

University of Toronto, 200 College St., Toronto, ON M5S 3H7, Canada E-mail: vladimiros.papangelakis@utoronto.ca.

Articles similaires

Animals Dietary Fiber Dextran Sulfate Mice Disease Models, Animal
Fragaria Light Plant Leaves Osmosis Stress, Physiological
Silicon Dioxide Water Hot Temperature Compressive Strength X-Ray Diffraction
1.00
Oryza Agricultural Irrigation Potassium Sodium Soil

Classifications MeSH