Abstract
A complete set of experimental data on air-gap membrane distillation (AGMD) is analyzed using the methods of factorial design (FD). A two-level and three-level FD were applied to investigate the influence of the main operating parameters on permeation flux of water. The data involves a study of the effects of salt concentration (at pre-set conditions of different input parameters such as feed temperature, coolant temperature, feed flow rate) on permeate flux for four inorganic salts (MgCl<inf>2</inf>, NaCl, Na<inf>2</inf>CO<inf>3</inf> and Na<inf>2</inf>SO<inf>4</inf>) using three commercial membranes in an air gap distillation unit. The objective is to gain an idea about the effects of the involved factors and their interactions. The factorial models have been obtained and validated by analysis of variance. Membrane pore diameter (membrane porosity) is found to be the most influential factor. Interaction terms are found to be insignificant. The predicted responses were compared with the experimental ones. In general, the predicted values were in reasonable agreement with the experimental data, thus confirming the prediction ability of the models. When salt type is treated as a third factor (factor C) besides salt concentration (A) and membrane porosity (B) some binary and ternary interactions were found significant for some salts.
| Original language | English |
|---|---|
| Pages (from-to) | 90-102 |
| Number of pages | 13 |
| Journal | Desalination |
| Volume | 367 |
| DOIs | |
| Publication status | Published - 1 Jul 2015 |
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Keywords
- Air gap
- Factorial design
- Membrane distillation
- Permeate flux
ASJC Scopus subject areas
- Chemical Engineering(all)
- Mechanical Engineering
- Chemistry(all)
- Materials Science(all)
- Water Science and Technology
Cite this
The use of factorial design in the analysis of air-gap membrane distillation data. / AlcheikhHamdon, Azza A.; Darwish, Naif A.; Hilal, Nidal.
In: Desalination, Vol. 367, 01.07.2015, p. 90-102.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The use of factorial design in the analysis of air-gap membrane distillation data
AU - AlcheikhHamdon, Azza A.
AU - Darwish, Naif A.
AU - Hilal, Nidal
PY - 2015/7/1
Y1 - 2015/7/1
N2 - A complete set of experimental data on air-gap membrane distillation (AGMD) is analyzed using the methods of factorial design (FD). A two-level and three-level FD were applied to investigate the influence of the main operating parameters on permeation flux of water. The data involves a study of the effects of salt concentration (at pre-set conditions of different input parameters such as feed temperature, coolant temperature, feed flow rate) on permeate flux for four inorganic salts (MgCl2, NaCl, Na2CO3 and Na2SO4) using three commercial membranes in an air gap distillation unit. The objective is to gain an idea about the effects of the involved factors and their interactions. The factorial models have been obtained and validated by analysis of variance. Membrane pore diameter (membrane porosity) is found to be the most influential factor. Interaction terms are found to be insignificant. The predicted responses were compared with the experimental ones. In general, the predicted values were in reasonable agreement with the experimental data, thus confirming the prediction ability of the models. When salt type is treated as a third factor (factor C) besides salt concentration (A) and membrane porosity (B) some binary and ternary interactions were found significant for some salts.
AB - A complete set of experimental data on air-gap membrane distillation (AGMD) is analyzed using the methods of factorial design (FD). A two-level and three-level FD were applied to investigate the influence of the main operating parameters on permeation flux of water. The data involves a study of the effects of salt concentration (at pre-set conditions of different input parameters such as feed temperature, coolant temperature, feed flow rate) on permeate flux for four inorganic salts (MgCl2, NaCl, Na2CO3 and Na2SO4) using three commercial membranes in an air gap distillation unit. The objective is to gain an idea about the effects of the involved factors and their interactions. The factorial models have been obtained and validated by analysis of variance. Membrane pore diameter (membrane porosity) is found to be the most influential factor. Interaction terms are found to be insignificant. The predicted responses were compared with the experimental ones. In general, the predicted values were in reasonable agreement with the experimental data, thus confirming the prediction ability of the models. When salt type is treated as a third factor (factor C) besides salt concentration (A) and membrane porosity (B) some binary and ternary interactions were found significant for some salts.
KW - Air gap
KW - Factorial design
KW - Membrane distillation
KW - Permeate flux
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UR - http://www.scopus.com/inward/citedby.url?scp=84926429975&partnerID=8YFLogxK
U2 - 10.1016/j.desal.2015.03.014
DO - 10.1016/j.desal.2015.03.014
M3 - Article
VL - 367
SP - 90
EP - 102
JO - Desalination
JF - Desalination
SN - 0011-9164
ER -