On-line NIR monitoring during anaerobic treatment of municipal solid waste
An anaerobic digester (8 I) was fed with the organic fraction of municipal solid waste and monitored intermittently for two years with on-line near-infrared (NIR) spectroscopy and traditional chemical parameters analysed off-line. The dynamics that occurred due to changes in substrate composition (c...
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Veröffentlicht in: | Water science and technology 2002-09, Vol.48 (4), p.9-13 |
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description | An anaerobic digester (8 I) was fed with the organic fraction of municipal solid waste and monitored intermittently for two years with on-line near-infrared (NIR) spectroscopy and traditional chemical parameters analysed off-line. The dynamics that occurred due to changes in substrate composition (changed C:N ratio) and changes in operating conditions (overloading) could be followed using principal component analysis of the obtained NIR-spectra. In addition, process disturbances such as failed stirring and increased foaming were readily detected by the NIR-spectra. Using PLS regression the propionate concentration could be predicted in the range 0.1-3.6 g/l, RMSEP 0.53 g/l with slope 0.74 and correlation coefficient 0.85. The response on changes in the digester fluid was reproducible and could be detected within 2.5 minutes, which can be considered as real-time monitoring. |
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The dynamics that occurred due to changes in substrate composition (changed C:N ratio) and changes in operating conditions (overloading) could be followed using principal component analysis of the obtained NIR-spectra. In addition, process disturbances such as failed stirring and increased foaming were readily detected by the NIR-spectra. Using PLS regression the propionate concentration could be predicted in the range 0.1-3.6 g/l, RMSEP 0.53 g/l with slope 0.74 and correlation coefficient 0.85. 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The dynamics that occurred due to changes in substrate composition (changed C:N ratio) and changes in operating conditions (overloading) could be followed using principal component analysis of the obtained NIR-spectra. In addition, process disturbances such as failed stirring and increased foaming were readily detected by the NIR-spectra. Using PLS regression the propionate concentration could be predicted in the range 0.1-3.6 g/l, RMSEP 0.53 g/l with slope 0.74 and correlation coefficient 0.85. The response on changes in the digester fluid was reproducible and could be detected within 2.5 minutes, which can be considered as real-time monitoring.</description><subject>Anaerobic treatment</subject><subject>Concentration (composition)</subject><subject>Digesters</subject><subject>Digestion</subject><subject>Dynamic tests</subject><subject>Monitoring</subject><subject>Municipal waste management</subject><subject>Regression analysis</subject><subject>Solid wastes</subject><issn>0273-1223</issn><isbn>9781843394495</isbn><isbn>1843394499</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNqNyj0KwjAYANCAClbtHTK5FdIkNeksijooiHuJ7VeJ5KcmKV5fEA_g9JY3QXktZCk5YzXndTVFGaGCFSWlbI4WMT4JIYJxkqHTxRVGO8Dn4xVb73TyQbsH7sYvyikI_q5bnAKoZMEl7HtsR6dbPSiDoze6w28VE6zQrFcmQv5zidb73W17KIbgXyPE1FgdWzBGOfBjbKiopNwwwf6OHy8NQlk</recordid><startdate>20020911</startdate><enddate>20020911</enddate><creator>Hansson, M</creator><creator>Nordberg, A</creator><creator>Mathisen, B</creator><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20020911</creationdate><title>On-line NIR monitoring during anaerobic treatment of municipal solid waste</title><author>Hansson, M ; Nordberg, A ; Mathisen, B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_275886373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Anaerobic treatment</topic><topic>Concentration (composition)</topic><topic>Digesters</topic><topic>Digestion</topic><topic>Dynamic tests</topic><topic>Monitoring</topic><topic>Municipal waste management</topic><topic>Regression analysis</topic><topic>Solid wastes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hansson, M</creatorcontrib><creatorcontrib>Nordberg, A</creatorcontrib><creatorcontrib>Mathisen, B</creatorcontrib><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Water science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hansson, M</au><au>Nordberg, A</au><au>Mathisen, B</au><au>Wilderer, P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On-line NIR monitoring during anaerobic treatment of municipal solid waste</atitle><jtitle>Water science and technology</jtitle><date>2002-09-11</date><risdate>2002</risdate><volume>48</volume><issue>4</issue><spage>9</spage><epage>13</epage><pages>9-13</pages><issn>0273-1223</issn><isbn>9781843394495</isbn><isbn>1843394499</isbn><abstract>An anaerobic digester (8 I) was fed with the organic fraction of municipal solid waste and monitored intermittently for two years with on-line near-infrared (NIR) spectroscopy and traditional chemical parameters analysed off-line. The dynamics that occurred due to changes in substrate composition (changed C:N ratio) and changes in operating conditions (overloading) could be followed using principal component analysis of the obtained NIR-spectra. In addition, process disturbances such as failed stirring and increased foaming were readily detected by the NIR-spectra. Using PLS regression the propionate concentration could be predicted in the range 0.1-3.6 g/l, RMSEP 0.53 g/l with slope 0.74 and correlation coefficient 0.85. The response on changes in the digester fluid was reproducible and could be detected within 2.5 minutes, which can be considered as real-time monitoring.</abstract></addata></record> |
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subjects | Anaerobic treatment Concentration (composition) Digesters Digestion Dynamic tests Monitoring Municipal waste management Regression analysis Solid wastes |
title | On-line NIR monitoring during anaerobic treatment of municipal solid waste |
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