Kinetic model for noncatalytic supercritical water gasification of cellulose and lignin
dc.contributor.author | Resende, Fernando L. P. | en_US |
dc.contributor.author | Savage, Phillip E. | en_US |
dc.date.accessioned | 2010-09-02T15:25:01Z | |
dc.date.available | 2011-03-01T16:26:48Z | en_US |
dc.date.issued | 2010-09 | en_US |
dc.identifier.citation | Resende, Fernando L. P.; Savage, Phillip E. (2010). "Kinetic model for noncatalytic supercritical water gasification of cellulose and lignin." AIChE Journal 56(9): 2412-2420. <http://hdl.handle.net/2027.42/77986> | en_US |
dc.identifier.issn | 0001-1541 | en_US |
dc.identifier.issn | 1547-5905 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/77986 | |
dc.description.abstract | This article reports the first kinetics model for Supercritical Water Gasification (SCWG) that describes the formation and interconversion of individual gaseous species. The model comprises 11 reactions, and it uses a lumping scheme to handle the large number of intermediate compounds. We determined numerical values for the rate constants in the model by fitting it to experimental data previously reported for SCWG of cellulose and lignin. We validated the model by showing that it accurately predicts gas yields at biomass loadings and water densities not used in the parameter estimation. Sensitivity analysis and reaction rate analysis indicate that steam-reforming and water–gas shift are the main sources of H 2 in SCWG, and intermediate species are the main sources of CO, CO 2 , and CH 4 . © 2010 American Institute of Chemical Engineers AIChE J, 2010 | en_US |
dc.format.extent | 1303247 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Chemical Engineering | en_US |
dc.title | Kinetic model for noncatalytic supercritical water gasification of cellulose and lignin | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Chemical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Dept. of Chemical Engineering, University of Michigan, 2300 Hayward, St. Ann Arbor, MI, 48109 | en_US |
dc.contributor.affiliationum | Dept. of Chemical Engineering, University of Michigan, 2300 Hayward, St. Ann Arbor, MI, 48109 ; Dept. of Chemical Engineering, University of Michigan, 2300 Hayward, St. Ann Arbor, MI, 48109 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/77986/1/12165_ftp.pdf | |
dc.identifier.doi | 10.1002/aic.12165 | en_US |
dc.identifier.source | AIChE Journal | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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