Statistical analysis of air-gap membrane desalination experimental data: Hypothesis testing

Azza A. Alcheikhhamdon, Naif A. Darwish, Nidal Hilal

Research output: Contribution to journalArticle

Abstract

Membrane distillation (MD) is a process in which the driving force for mass transfer is temperature gradient rather than conventional ones based on density, static pressure, chemical nature, affinity, and freezing point gradients. Using a porous hydrophobic membrane, MD comes into four configurations; direct contact, air gap, sweeping gas, and vacuum MD. The current technical literature shows a growing interest in experimental investigation of MD processes. In this work, a complete set of experimental data on air gap membrane distillation is analyzed using statistical methods. The experimental data involves a study of the effects of salt concentration on permeate flux for MgCl2, Na2SO4, and NaCl using three commercial membranes in AGMD unit. Hypothesis testing regarding the mean permeation flux under different salt concentrations is implemented. The objective is to gain an idea about the statistical significance of performance differences among these membranes. Several statistical techniques, i.e., F-test, Fisher's LSD test, Bonferroni and Tukey's test for multiple comparisons are applied. The F-test predicts that all three membranes handle the three salts at their low salt concentration levels in a comparable manner with no significant differences in permeate fluxes but handle the same salts differently at the higher level of salt concentrations.

Original languageEnglish (US)
Pages (from-to)117-125
Number of pages9
JournalDesalination
Volume362
DOIs
StatePublished - Apr 5 2015

Fingerprint

hypothesis testing
Desalination
desalination
Statistical methods
statistical analysis
membrane
Membranes
distillation
air
Testing
Distillation
Salts
Air
salt
Fluxes
Lysergic Acid Diethylamide
Magnesium Chloride
Permeation
Freezing
Thermal gradients

Keywords

  • Air gap
  • Hypothesis testing
  • Membrane distillation
  • Multiple comparisons
  • Permeate flux

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Materials Science(all)
  • Water Science and Technology
  • Mechanical Engineering

Cite this

Statistical analysis of air-gap membrane desalination experimental data : Hypothesis testing. / Alcheikhhamdon, Azza A.; Darwish, Naif A.; Hilal, Nidal.

In: Desalination, Vol. 362, 05.04.2015, p. 117-125.

Research output: Contribution to journalArticle

Alcheikhhamdon, Azza A. ; Darwish, Naif A. ; Hilal, Nidal. / Statistical analysis of air-gap membrane desalination experimental data : Hypothesis testing. In: Desalination. 2015 ; Vol. 362. pp. 117-125.
@article{5499ddf0e7924d3fb8202027502d00b0,
title = "Statistical analysis of air-gap membrane desalination experimental data: Hypothesis testing",
abstract = "Membrane distillation (MD) is a process in which the driving force for mass transfer is temperature gradient rather than conventional ones based on density, static pressure, chemical nature, affinity, and freezing point gradients. Using a porous hydrophobic membrane, MD comes into four configurations; direct contact, air gap, sweeping gas, and vacuum MD. The current technical literature shows a growing interest in experimental investigation of MD processes. In this work, a complete set of experimental data on air gap membrane distillation is analyzed using statistical methods. The experimental data involves a study of the effects of salt concentration on permeate flux for MgCl2, Na2SO4, and NaCl using three commercial membranes in AGMD unit. Hypothesis testing regarding the mean permeation flux under different salt concentrations is implemented. The objective is to gain an idea about the statistical significance of performance differences among these membranes. Several statistical techniques, i.e., F-test, Fisher's LSD test, Bonferroni and Tukey's test for multiple comparisons are applied. The F-test predicts that all three membranes handle the three salts at their low salt concentration levels in a comparable manner with no significant differences in permeate fluxes but handle the same salts differently at the higher level of salt concentrations.",
keywords = "Air gap, Hypothesis testing, Membrane distillation, Multiple comparisons, Permeate flux",
author = "Alcheikhhamdon, {Azza A.} and Darwish, {Naif A.} and Nidal Hilal",
year = "2015",
month = "4",
day = "5",
doi = "10.1016/j.desal.2015.02.003",
language = "English (US)",
volume = "362",
pages = "117--125",
journal = "Desalination",
issn = "0011-9164",
publisher = "Elsevier",

}

TY - JOUR

T1 - Statistical analysis of air-gap membrane desalination experimental data

T2 - Hypothesis testing

AU - Alcheikhhamdon, Azza A.

AU - Darwish, Naif A.

AU - Hilal, Nidal

PY - 2015/4/5

Y1 - 2015/4/5

N2 - Membrane distillation (MD) is a process in which the driving force for mass transfer is temperature gradient rather than conventional ones based on density, static pressure, chemical nature, affinity, and freezing point gradients. Using a porous hydrophobic membrane, MD comes into four configurations; direct contact, air gap, sweeping gas, and vacuum MD. The current technical literature shows a growing interest in experimental investigation of MD processes. In this work, a complete set of experimental data on air gap membrane distillation is analyzed using statistical methods. The experimental data involves a study of the effects of salt concentration on permeate flux for MgCl2, Na2SO4, and NaCl using three commercial membranes in AGMD unit. Hypothesis testing regarding the mean permeation flux under different salt concentrations is implemented. The objective is to gain an idea about the statistical significance of performance differences among these membranes. Several statistical techniques, i.e., F-test, Fisher's LSD test, Bonferroni and Tukey's test for multiple comparisons are applied. The F-test predicts that all three membranes handle the three salts at their low salt concentration levels in a comparable manner with no significant differences in permeate fluxes but handle the same salts differently at the higher level of salt concentrations.

AB - Membrane distillation (MD) is a process in which the driving force for mass transfer is temperature gradient rather than conventional ones based on density, static pressure, chemical nature, affinity, and freezing point gradients. Using a porous hydrophobic membrane, MD comes into four configurations; direct contact, air gap, sweeping gas, and vacuum MD. The current technical literature shows a growing interest in experimental investigation of MD processes. In this work, a complete set of experimental data on air gap membrane distillation is analyzed using statistical methods. The experimental data involves a study of the effects of salt concentration on permeate flux for MgCl2, Na2SO4, and NaCl using three commercial membranes in AGMD unit. Hypothesis testing regarding the mean permeation flux under different salt concentrations is implemented. The objective is to gain an idea about the statistical significance of performance differences among these membranes. Several statistical techniques, i.e., F-test, Fisher's LSD test, Bonferroni and Tukey's test for multiple comparisons are applied. The F-test predicts that all three membranes handle the three salts at their low salt concentration levels in a comparable manner with no significant differences in permeate fluxes but handle the same salts differently at the higher level of salt concentrations.

KW - Air gap

KW - Hypothesis testing

KW - Membrane distillation

KW - Multiple comparisons

KW - Permeate flux

UR - http://www.scopus.com/inward/record.url?scp=84922616774&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84922616774&partnerID=8YFLogxK

U2 - 10.1016/j.desal.2015.02.003

DO - 10.1016/j.desal.2015.02.003

M3 - Article

AN - SCOPUS:84922616774

VL - 362

SP - 117

EP - 125

JO - Desalination

JF - Desalination

SN - 0011-9164

ER -