dc.contributor.author | Shoukat, Usman | |
dc.contributor.author | Baumeister, Eva | |
dc.contributor.author | Knuutila, Hanna K | |
dc.date.accessioned | 2019-09-02T12:53:06Z | |
dc.date.available | 2019-09-02T12:53:06Z | |
dc.date.created | 2019-08-30T07:08:48Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Energies. 2019, 12 (17), 3285-?. | nb_NO |
dc.identifier.issn | 1996-1073 | |
dc.identifier.uri | http://hdl.handle.net/11250/2612043 | |
dc.description.abstract | A Fourier transform infrared (FTIR) spectroscopy method was developed to identify and quantify various components in an amine-based combined acid gas and water removal process. In this work, an attenuated total reflectance (ATR) probe was used. A partial least-squares (PLS) regression model was also developed using up to four components (methyl diethanolamine (MDEA)-H2O-CO2-ethylene glycol/triethylene glycol (MEG/TEG)), and it was successfully validated. The model was applied on thermally degraded CO2-loaded MDEA blends to predict the weight percentages of MDEA, H2O, CO2, and MEG or TEG to test the performance spectrum. The results confirmed that FTIR could be used as a simpler, quicker and reliable tool to identify and quantify various compounds such as MDEA, MEG/TEG, H2O and CO2 simultaneously in a combined acid gas and water removal process. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | MDPI | nb_NO |
dc.relation.uri | https://www.mdpi.com/1996-1073/12/17/3285/htm# | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | ATR-FTIR Model Development and Verification for Qualitative and Quantitative Analysis in MDEA–H2O–MEG/TEG–CO2 Blends | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 3285-? | nb_NO |
dc.source.volume | 12 | nb_NO |
dc.source.journal | Energies | nb_NO |
dc.source.issue | 17 | nb_NO |
dc.identifier.doi | https://doi.org/10.3390/en12173285 | |
dc.identifier.cristin | 1720001 | |
dc.description.localcode | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | nb_NO |
cristin.unitcode | 194,66,30,0 | |
cristin.unitname | Institutt for kjemisk prosessteknologi | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |