Flat sheet direct contact membrane distillation desalination system using temperature-dependent correlations: thermal efficiency via a multi-parameter sensitivity analysis based on Monte Carlo method
In this paper, a 1D model of direct contact membrane distillation is presented in which all fluid properties are temperature-dependent. In addition, a Nusselt number (Nu) relationship for developing flow in ducts (accounting for both thermal and hydrodynamic effects) is used to obtain the convective...
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| Veröffentlicht in: | Journal of thermal analysis and calorimetry 2021-06, Vol.144 (6), p.2641-2652 |
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| creator | Al-Turki, Yusuf A. Mebarek-Oudina, Fateh Ahmadian, Ali Baleanu, Dumitru |
| description | In this paper, a 1D model of direct contact membrane distillation is presented in which all fluid properties are temperature-dependent. In addition, a Nusselt number (Nu) relationship for developing flow in ducts (accounting for both thermal and hydrodynamic effects) is used to obtain the convective heat transfer coefficient at each side of the membrane. Simulated mass flux shows very good agreement with experimental measurements at various feed temperature, flow rate and concentration. A comprehensive sensitivity analysis of all operational and geometrical parameters, as well as Nu estimation parameters on water mass flux across the membrane
(
J
m
)
and thermal efficiency, is also done. To determine the relative importance of each parameter, a multi-parameter sensitivity analysis (MPSA) based on the Monte Carlo method is applied, and the sensitivity index of each parameter at the defined range is computed. Results show that
J
m
is highly sensitive to bulk feed inlet temperature (
T
in
,
f
) while both
J
m
and thermal efficiency are highly sensitive to membrane porosity. Results show that among all parameters, just membrane porosity is highly sensitive which affects both mass flux and thermal efficiency especially at low
T
in
.
f
. |
| doi_str_mv | 10.1007/s10973-020-10503-6 |
| format | Article |
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(
J
m
)
and thermal efficiency, is also done. To determine the relative importance of each parameter, a multi-parameter sensitivity analysis (MPSA) based on the Monte Carlo method is applied, and the sensitivity index of each parameter at the defined range is computed. Results show that
J
m
is highly sensitive to bulk feed inlet temperature (
T
in
,
f
) while both
J
m
and thermal efficiency are highly sensitive to membrane porosity. Results show that among all parameters, just membrane porosity is highly sensitive which affects both mass flux and thermal efficiency especially at low
T
in
.
f
.</description><identifier>ISSN: 1388-6150</identifier><identifier>EISSN: 1588-2926</identifier><identifier>DOI: 10.1007/s10973-020-10503-6</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Analysis ; Analytical Chemistry ; Aquatic resources ; Chemistry ; Chemistry and Materials Science ; Computational fluid dynamics ; Convective heat transfer ; Costs (Law) ; Desalination ; Distillation ; Efficiency ; Flow velocity ; Fluid flow ; Flux ; Heat transfer coefficients ; Inlet temperature ; Inorganic Chemistry ; Measurement Science and Instrumentation ; Membranes ; Methods ; Monte Carlo method ; Monte Carlo simulation ; One dimensional models ; Parameter estimation ; Parameter sensitivity ; Physical Chemistry ; Polymer Sciences ; Porosity ; Saline water conversion ; Sensitivity analysis ; Temperature dependence ; Thermodynamic efficiency</subject><ispartof>Journal of thermal analysis and calorimetry, 2021-06, Vol.144 (6), p.2641-2652</ispartof><rights>Akadémiai Kiadó, Budapest, Hungary 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>Akadémiai Kiadó, Budapest, Hungary 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c429t-6a057b5431fe0a6529000ac4f7a68b07eb2438ec2a44c457967b1655dd2a77723</citedby><cites>FETCH-LOGICAL-c429t-6a057b5431fe0a6529000ac4f7a68b07eb2438ec2a44c457967b1655dd2a77723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10973-020-10503-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10973-020-10503-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Al-Turki, Yusuf A.</creatorcontrib><creatorcontrib>Mebarek-Oudina, Fateh</creatorcontrib><creatorcontrib>Ahmadian, Ali</creatorcontrib><creatorcontrib>Baleanu, Dumitru</creatorcontrib><title>Flat sheet direct contact membrane distillation desalination system using temperature-dependent correlations: thermal efficiency via a multi-parameter sensitivity analysis based on Monte Carlo method</title><title>Journal of thermal analysis and calorimetry</title><addtitle>J Therm Anal Calorim</addtitle><description>In this paper, a 1D model of direct contact membrane distillation is presented in which all fluid properties are temperature-dependent. In addition, a Nusselt number (Nu) relationship for developing flow in ducts (accounting for both thermal and hydrodynamic effects) is used to obtain the convective heat transfer coefficient at each side of the membrane. Simulated mass flux shows very good agreement with experimental measurements at various feed temperature, flow rate and concentration. A comprehensive sensitivity analysis of all operational and geometrical parameters, as well as Nu estimation parameters on water mass flux across the membrane
(
J
m
)
and thermal efficiency, is also done. To determine the relative importance of each parameter, a multi-parameter sensitivity analysis (MPSA) based on the Monte Carlo method is applied, and the sensitivity index of each parameter at the defined range is computed. Results show that
J
m
is highly sensitive to bulk feed inlet temperature (
T
in
,
f
) while both
J
m
and thermal efficiency are highly sensitive to membrane porosity. Results show that among all parameters, just membrane porosity is highly sensitive which affects both mass flux and thermal efficiency especially at low
T
in
.
f
.</description><subject>Analysis</subject><subject>Analytical Chemistry</subject><subject>Aquatic resources</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Computational fluid dynamics</subject><subject>Convective heat transfer</subject><subject>Costs (Law)</subject><subject>Desalination</subject><subject>Distillation</subject><subject>Efficiency</subject><subject>Flow velocity</subject><subject>Fluid flow</subject><subject>Flux</subject><subject>Heat transfer coefficients</subject><subject>Inlet temperature</subject><subject>Inorganic Chemistry</subject><subject>Measurement Science and Instrumentation</subject><subject>Membranes</subject><subject>Methods</subject><subject>Monte Carlo method</subject><subject>Monte Carlo simulation</subject><subject>One dimensional models</subject><subject>Parameter estimation</subject><subject>Parameter sensitivity</subject><subject>Physical Chemistry</subject><subject>Polymer Sciences</subject><subject>Porosity</subject><subject>Saline water conversion</subject><subject>Sensitivity analysis</subject><subject>Temperature dependence</subject><subject>Thermodynamic efficiency</subject><issn>1388-6150</issn><issn>1588-2926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9UsuO1DAQjBBILAM_wMkSJw5Z_EjsCbfViIWVFiHxOFsdpzPjVeIEt7PafCG_hYcgob0gH7rcqmqX2lUUrwW_FJybdyR4Y1TJJS8Fr7kq9ZPiQtT7fSkbqZ9mrDLWoubPixdEd5zzpuHiovh1PUBidEJMrPMRXWJuCglyHXFsIwTMfUp-yDw_BdYhweDDdqGVEo5sIR-OLKMZI6QlYtnhjKHDcJ4WI25aes_SCeMIA8O-985jcCu798CAjcuQfDlDhBETRkYYyCd_79PKIMCwkifWAmHH8rufs0VkB4jDlG2m09S9LJ71MBC--lt3xY_rD98Pn8rbLx9vDle3patkk0oNvDZtXSnRIwddyyZvAlzVG9D7lhtsZaX26CRUlatq02jTCl3XXSfBGCPVrnizzZ3j9HNBSvZuWmI2SFbWqtJSad5k1uXGOsKA1od-ShFcPh2OPu8Xe5_7V1pr2Sidhbvi7SPB-Q_wIR1hIbI3374-5sqN6-JEFLG3c_QjxNUKbs9psFsabE6D_ZMGq7NIbSLK5HDE-M_3f1S_Af7SvCQ</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Al-Turki, Yusuf A.</creator><creator>Mebarek-Oudina, Fateh</creator><creator>Ahmadian, Ali</creator><creator>Baleanu, Dumitru</creator><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope></search><sort><creationdate>20210601</creationdate><title>Flat sheet direct contact membrane distillation desalination system using temperature-dependent correlations: thermal efficiency via a multi-parameter sensitivity analysis based on Monte Carlo method</title><author>Al-Turki, Yusuf A. ; Mebarek-Oudina, Fateh ; Ahmadian, Ali ; Baleanu, Dumitru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c429t-6a057b5431fe0a6529000ac4f7a68b07eb2438ec2a44c457967b1655dd2a77723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Analytical Chemistry</topic><topic>Aquatic resources</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Computational fluid dynamics</topic><topic>Convective heat transfer</topic><topic>Costs (Law)</topic><topic>Desalination</topic><topic>Distillation</topic><topic>Efficiency</topic><topic>Flow velocity</topic><topic>Fluid flow</topic><topic>Flux</topic><topic>Heat transfer coefficients</topic><topic>Inlet temperature</topic><topic>Inorganic Chemistry</topic><topic>Measurement Science and Instrumentation</topic><topic>Membranes</topic><topic>Methods</topic><topic>Monte Carlo method</topic><topic>Monte Carlo simulation</topic><topic>One dimensional models</topic><topic>Parameter estimation</topic><topic>Parameter sensitivity</topic><topic>Physical Chemistry</topic><topic>Polymer Sciences</topic><topic>Porosity</topic><topic>Saline water conversion</topic><topic>Sensitivity analysis</topic><topic>Temperature dependence</topic><topic>Thermodynamic efficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Al-Turki, Yusuf A.</creatorcontrib><creatorcontrib>Mebarek-Oudina, Fateh</creatorcontrib><creatorcontrib>Ahmadian, Ali</creatorcontrib><creatorcontrib>Baleanu, Dumitru</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><jtitle>Journal of thermal analysis and calorimetry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Al-Turki, Yusuf A.</au><au>Mebarek-Oudina, Fateh</au><au>Ahmadian, Ali</au><au>Baleanu, Dumitru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flat sheet direct contact membrane distillation desalination system using temperature-dependent correlations: thermal efficiency via a multi-parameter sensitivity analysis based on Monte Carlo method</atitle><jtitle>Journal of thermal analysis and calorimetry</jtitle><stitle>J Therm Anal Calorim</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>144</volume><issue>6</issue><spage>2641</spage><epage>2652</epage><pages>2641-2652</pages><issn>1388-6150</issn><eissn>1588-2926</eissn><abstract>In this paper, a 1D model of direct contact membrane distillation is presented in which all fluid properties are temperature-dependent. In addition, a Nusselt number (Nu) relationship for developing flow in ducts (accounting for both thermal and hydrodynamic effects) is used to obtain the convective heat transfer coefficient at each side of the membrane. Simulated mass flux shows very good agreement with experimental measurements at various feed temperature, flow rate and concentration. A comprehensive sensitivity analysis of all operational and geometrical parameters, as well as Nu estimation parameters on water mass flux across the membrane
(
J
m
)
and thermal efficiency, is also done. To determine the relative importance of each parameter, a multi-parameter sensitivity analysis (MPSA) based on the Monte Carlo method is applied, and the sensitivity index of each parameter at the defined range is computed. Results show that
J
m
is highly sensitive to bulk feed inlet temperature (
T
in
,
f
) while both
J
m
and thermal efficiency are highly sensitive to membrane porosity. Results show that among all parameters, just membrane porosity is highly sensitive which affects both mass flux and thermal efficiency especially at low
T
in
.
f
.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10973-020-10503-6</doi><tpages>12</tpages></addata></record> |
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| identifier | ISSN: 1388-6150 |
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| subjects | Analysis Analytical Chemistry Aquatic resources Chemistry Chemistry and Materials Science Computational fluid dynamics Convective heat transfer Costs (Law) Desalination Distillation Efficiency Flow velocity Fluid flow Flux Heat transfer coefficients Inlet temperature Inorganic Chemistry Measurement Science and Instrumentation Membranes Methods Monte Carlo method Monte Carlo simulation One dimensional models Parameter estimation Parameter sensitivity Physical Chemistry Polymer Sciences Porosity Saline water conversion Sensitivity analysis Temperature dependence Thermodynamic efficiency |
| title | Flat sheet direct contact membrane distillation desalination system using temperature-dependent correlations: thermal efficiency via a multi-parameter sensitivity analysis based on Monte Carlo method |
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