Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP
The equilibrium solubility of carbon dioxide (CO 2 ) in the solvents is a key essential characteristic that has to be evaluated for successful absorption-based CO 2 capture procedures. In this study, the CO 2 loading capacity of triethanolamine (TEA) aqueous solutions was estimated using three famou...
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| Veröffentlicht in: | Discover Applied Sciences 2024-01, Vol.6 (2), p.40, Article 40 |
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| creator | Hadavimoghaddam, Fahimeh Amiri-Ramsheh, Behnam Atashrouz, Saeid Abuswer, Meftah Ali Lv, Qichao Mohaddespour, Ahmad Ostadhassan, Mehdi Hemmati-Sarapardeh, Abdolhossein |
| description | The equilibrium solubility of carbon dioxide (CO
2
) in the solvents is a key essential characteristic that has to be evaluated for successful absorption-based CO
2
capture procedures. In this study, the CO
2
loading capacity of triethanolamine (TEA) aqueous solutions was estimated using three famous white-box algorithms namely gene expression programming (GEP), genetic programming (GP), and group method of data handling (GMDH). For achieving the aim of this study, 258 data in a wide range of pressure, temperature, and amine concentration were collected from literature. Temperature, partial pressure of CO
2
, and amine concentration were used as input parameters. The results demonstrated that GMDH correlation is more accurate than GEP and GP with a determination coefficient (R
2
) of 0.9813 and root mean square error of 0.0222. The R
2
values of 0.9713 and 0.9664 for the GEP and GP, respectively, demonstrated that the GEP and GP also showed accurate predictions. In addition, GMDH approach accurately predicted the anticipated trends of the CO
2
loading in response to changes in the partial pressure of CO
2
and temperature. The Pearson and Spearman correlation analyses were also incorporated in this research which showed that temperature and CO
2
partial pressure have almost the same relative effect on CO
2
loading, while amine concentration has the lowest effect on it. |
| doi_str_mv | 10.1007/s42452-024-05674-y |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2921032860</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2921032860</sourcerecordid><originalsourceid>FETCH-LOGICAL-c314t-1303f53cc4dff5b04c3803e31c9db2405437d7e00d69613cce0da0f24e0c278e3</originalsourceid><addsrcrecordid>eNp9kD9PwzAUxC0EElXpF2CyxNrA858kDRsqJUVq1Q4wW67ttKlSu9gJkG9PSpBgYno33O_e6RC6JnBLANK7wCmPaQSURxAnKY_aMzRgADzKaELO_-hLNAphDwCMQZrG2QC1S6dNVdotnq4orpzUJ63kUaqybrErcO1LU--kdZU8lNZg-dYY1wQcXNXUpbMBN-HESP0urTIaf-zK2kQb94nl8eidVDsT7nG-fJyPcT5bj7G0GufrK3RRyCqY0c8doten2ct0Hi1W-fP0YREpRngdEQasiJlSXBdFvAGu2ASYYURlekM5xJylOjUAOskS0vkMaAkF5QYUTSeGDdFNn9t16aqHWuxd4233UtCMEmB0kkDnor1LeReCN4U4-vIgfSsIiNPKol9ZdCuL75VF20Gsh0Jntlvjf6P_ob4AtZx_1w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2921032860</pqid></control><display><type>article</type><title>Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP</title><source>DOAJ Directory of Open Access Journals</source><source>SpringerNature Journals</source><source>Springer Nature OA Free Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Hadavimoghaddam, Fahimeh ; Amiri-Ramsheh, Behnam ; Atashrouz, Saeid ; Abuswer, Meftah Ali ; Lv, Qichao ; Mohaddespour, Ahmad ; Ostadhassan, Mehdi ; Hemmati-Sarapardeh, Abdolhossein</creator><creatorcontrib>Hadavimoghaddam, Fahimeh ; Amiri-Ramsheh, Behnam ; Atashrouz, Saeid ; Abuswer, Meftah Ali ; Lv, Qichao ; Mohaddespour, Ahmad ; Ostadhassan, Mehdi ; Hemmati-Sarapardeh, Abdolhossein</creatorcontrib><description>The equilibrium solubility of carbon dioxide (CO
2
) in the solvents is a key essential characteristic that has to be evaluated for successful absorption-based CO
2
capture procedures. In this study, the CO
2
loading capacity of triethanolamine (TEA) aqueous solutions was estimated using three famous white-box algorithms namely gene expression programming (GEP), genetic programming (GP), and group method of data handling (GMDH). For achieving the aim of this study, 258 data in a wide range of pressure, temperature, and amine concentration were collected from literature. Temperature, partial pressure of CO
2
, and amine concentration were used as input parameters. The results demonstrated that GMDH correlation is more accurate than GEP and GP with a determination coefficient (R
2
) of 0.9813 and root mean square error of 0.0222. The R
2
values of 0.9713 and 0.9664 for the GEP and GP, respectively, demonstrated that the GEP and GP also showed accurate predictions. In addition, GMDH approach accurately predicted the anticipated trends of the CO
2
loading in response to changes in the partial pressure of CO
2
and temperature. The Pearson and Spearman correlation analyses were also incorporated in this research which showed that temperature and CO
2
partial pressure have almost the same relative effect on CO
2
loading, while amine concentration has the lowest effect on it.</description><identifier>ISSN: 3004-9261</identifier><identifier>ISSN: 2523-3963</identifier><identifier>EISSN: 3004-9261</identifier><identifier>EISSN: 2523-3971</identifier><identifier>DOI: 10.1007/s42452-024-05674-y</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Algorithms ; Applied and Technical Physics ; Aqueous solutions ; Carbon dioxide ; Carbon sequestration ; Chemistry/Food Science ; Correlation analysis ; Earth Sciences ; Energy consumption ; Engineering ; Environment ; Equilibrium ; Gases ; Gene expression ; Genetic algorithms ; Group method of data handling ; Investigations ; Kurtosis ; Materials Science ; Natural gas ; Partial pressure ; Predictions ; Skewness ; Solvents ; Temperature ; Triethanolamine</subject><ispartof>Discover Applied Sciences, 2024-01, Vol.6 (2), p.40, Article 40</ispartof><rights>The Author(s) 2024</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-1303f53cc4dff5b04c3803e31c9db2405437d7e00d69613cce0da0f24e0c278e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>Hadavimoghaddam, Fahimeh</creatorcontrib><creatorcontrib>Amiri-Ramsheh, Behnam</creatorcontrib><creatorcontrib>Atashrouz, Saeid</creatorcontrib><creatorcontrib>Abuswer, Meftah Ali</creatorcontrib><creatorcontrib>Lv, Qichao</creatorcontrib><creatorcontrib>Mohaddespour, Ahmad</creatorcontrib><creatorcontrib>Ostadhassan, Mehdi</creatorcontrib><creatorcontrib>Hemmati-Sarapardeh, Abdolhossein</creatorcontrib><title>Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP</title><title>Discover Applied Sciences</title><addtitle>Discov Appl Sci</addtitle><description>The equilibrium solubility of carbon dioxide (CO
2
) in the solvents is a key essential characteristic that has to be evaluated for successful absorption-based CO
2
capture procedures. In this study, the CO
2
loading capacity of triethanolamine (TEA) aqueous solutions was estimated using three famous white-box algorithms namely gene expression programming (GEP), genetic programming (GP), and group method of data handling (GMDH). For achieving the aim of this study, 258 data in a wide range of pressure, temperature, and amine concentration were collected from literature. Temperature, partial pressure of CO
2
, and amine concentration were used as input parameters. The results demonstrated that GMDH correlation is more accurate than GEP and GP with a determination coefficient (R
2
) of 0.9813 and root mean square error of 0.0222. The R
2
values of 0.9713 and 0.9664 for the GEP and GP, respectively, demonstrated that the GEP and GP also showed accurate predictions. In addition, GMDH approach accurately predicted the anticipated trends of the CO
2
loading in response to changes in the partial pressure of CO
2
and temperature. The Pearson and Spearman correlation analyses were also incorporated in this research which showed that temperature and CO
2
partial pressure have almost the same relative effect on CO
2
loading, while amine concentration has the lowest effect on it.</description><subject>Algorithms</subject><subject>Applied and Technical Physics</subject><subject>Aqueous solutions</subject><subject>Carbon dioxide</subject><subject>Carbon sequestration</subject><subject>Chemistry/Food Science</subject><subject>Correlation analysis</subject><subject>Earth Sciences</subject><subject>Energy consumption</subject><subject>Engineering</subject><subject>Environment</subject><subject>Equilibrium</subject><subject>Gases</subject><subject>Gene expression</subject><subject>Genetic algorithms</subject><subject>Group method of data handling</subject><subject>Investigations</subject><subject>Kurtosis</subject><subject>Materials Science</subject><subject>Natural gas</subject><subject>Partial pressure</subject><subject>Predictions</subject><subject>Skewness</subject><subject>Solvents</subject><subject>Temperature</subject><subject>Triethanolamine</subject><issn>3004-9261</issn><issn>2523-3963</issn><issn>3004-9261</issn><issn>2523-3971</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kD9PwzAUxC0EElXpF2CyxNrA858kDRsqJUVq1Q4wW67ttKlSu9gJkG9PSpBgYno33O_e6RC6JnBLANK7wCmPaQSURxAnKY_aMzRgADzKaELO_-hLNAphDwCMQZrG2QC1S6dNVdotnq4orpzUJ63kUaqybrErcO1LU--kdZU8lNZg-dYY1wQcXNXUpbMBN-HESP0urTIaf-zK2kQb94nl8eidVDsT7nG-fJyPcT5bj7G0GufrK3RRyCqY0c8doten2ct0Hi1W-fP0YREpRngdEQasiJlSXBdFvAGu2ASYYURlekM5xJylOjUAOskS0vkMaAkF5QYUTSeGDdFNn9t16aqHWuxd4233UtCMEmB0kkDnor1LeReCN4U4-vIgfSsIiNPKol9ZdCuL75VF20Gsh0Jntlvjf6P_ob4AtZx_1w</recordid><startdate>20240129</startdate><enddate>20240129</enddate><creator>Hadavimoghaddam, Fahimeh</creator><creator>Amiri-Ramsheh, Behnam</creator><creator>Atashrouz, Saeid</creator><creator>Abuswer, Meftah Ali</creator><creator>Lv, Qichao</creator><creator>Mohaddespour, Ahmad</creator><creator>Ostadhassan, Mehdi</creator><creator>Hemmati-Sarapardeh, Abdolhossein</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20240129</creationdate><title>Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP</title><author>Hadavimoghaddam, Fahimeh ; Amiri-Ramsheh, Behnam ; Atashrouz, Saeid ; Abuswer, Meftah Ali ; Lv, Qichao ; Mohaddespour, Ahmad ; Ostadhassan, Mehdi ; Hemmati-Sarapardeh, Abdolhossein</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-1303f53cc4dff5b04c3803e31c9db2405437d7e00d69613cce0da0f24e0c278e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Applied and Technical Physics</topic><topic>Aqueous solutions</topic><topic>Carbon dioxide</topic><topic>Carbon sequestration</topic><topic>Chemistry/Food Science</topic><topic>Correlation analysis</topic><topic>Earth Sciences</topic><topic>Energy consumption</topic><topic>Engineering</topic><topic>Environment</topic><topic>Equilibrium</topic><topic>Gases</topic><topic>Gene expression</topic><topic>Genetic algorithms</topic><topic>Group method of data handling</topic><topic>Investigations</topic><topic>Kurtosis</topic><topic>Materials Science</topic><topic>Natural gas</topic><topic>Partial pressure</topic><topic>Predictions</topic><topic>Skewness</topic><topic>Solvents</topic><topic>Temperature</topic><topic>Triethanolamine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hadavimoghaddam, Fahimeh</creatorcontrib><creatorcontrib>Amiri-Ramsheh, Behnam</creatorcontrib><creatorcontrib>Atashrouz, Saeid</creatorcontrib><creatorcontrib>Abuswer, Meftah Ali</creatorcontrib><creatorcontrib>Lv, Qichao</creatorcontrib><creatorcontrib>Mohaddespour, Ahmad</creatorcontrib><creatorcontrib>Ostadhassan, Mehdi</creatorcontrib><creatorcontrib>Hemmati-Sarapardeh, Abdolhossein</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Discover Applied Sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hadavimoghaddam, Fahimeh</au><au>Amiri-Ramsheh, Behnam</au><au>Atashrouz, Saeid</au><au>Abuswer, Meftah Ali</au><au>Lv, Qichao</au><au>Mohaddespour, Ahmad</au><au>Ostadhassan, Mehdi</au><au>Hemmati-Sarapardeh, Abdolhossein</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP</atitle><jtitle>Discover Applied Sciences</jtitle><stitle>Discov Appl Sci</stitle><date>2024-01-29</date><risdate>2024</risdate><volume>6</volume><issue>2</issue><spage>40</spage><pages>40-</pages><artnum>40</artnum><issn>3004-9261</issn><issn>2523-3963</issn><eissn>3004-9261</eissn><eissn>2523-3971</eissn><abstract>The equilibrium solubility of carbon dioxide (CO
2
) in the solvents is a key essential characteristic that has to be evaluated for successful absorption-based CO
2
capture procedures. In this study, the CO
2
loading capacity of triethanolamine (TEA) aqueous solutions was estimated using three famous white-box algorithms namely gene expression programming (GEP), genetic programming (GP), and group method of data handling (GMDH). For achieving the aim of this study, 258 data in a wide range of pressure, temperature, and amine concentration were collected from literature. Temperature, partial pressure of CO
2
, and amine concentration were used as input parameters. The results demonstrated that GMDH correlation is more accurate than GEP and GP with a determination coefficient (R
2
) of 0.9813 and root mean square error of 0.0222. The R
2
values of 0.9713 and 0.9664 for the GEP and GP, respectively, demonstrated that the GEP and GP also showed accurate predictions. In addition, GMDH approach accurately predicted the anticipated trends of the CO
2
loading in response to changes in the partial pressure of CO
2
and temperature. The Pearson and Spearman correlation analyses were also incorporated in this research which showed that temperature and CO
2
partial pressure have almost the same relative effect on CO
2
loading, while amine concentration has the lowest effect on it.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s42452-024-05674-y</doi><oa>free_for_read</oa></addata></record> |
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| source | DOAJ Directory of Open Access Journals; SpringerNature Journals; Springer Nature OA Free Journals; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Algorithms Applied and Technical Physics Aqueous solutions Carbon dioxide Carbon sequestration Chemistry/Food Science Correlation analysis Earth Sciences Energy consumption Engineering Environment Equilibrium Gases Gene expression Genetic algorithms Group method of data handling Investigations Kurtosis Materials Science Natural gas Partial pressure Predictions Skewness Solvents Temperature Triethanolamine |
| title | Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP |
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