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dc.contributor.authorChawannat Jaroenkhasemmeesuken_US
dc.contributor.authorNakorn Tippayawongen_US
dc.contributor.authorSirivatch Shimpaleeen_US
dc.contributor.authorDerek B. Inghamen_US
dc.contributor.authorMohammed Pourkashanianen_US
dc.date.accessioned2022-10-16T07:48:53Z-
dc.date.available2022-10-16T07:48:53Z-
dc.date.issued2023-02-01en_US
dc.identifier.issn11100168en_US
dc.identifier.other2-s2.0-85136741353en_US
dc.identifier.other10.1016/j.aej.2022.07.060en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85136741353&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/77593-
dc.description.abstractThe successful use (for performance predictions, in previous work) of process modeling and simulation of fast pyrolysis plants has made these techniques imperative in the design and operation of the pyrolysis plant itself. The current work proposes an expansion of pyrolysis simulation in the Aspen Plus® model for lignocellulosic biomass, which is based on the kinetic reaction mechanisms of different materials under varied operational settings. This simulation allows the yield prediction for both slow pyrolysis at 350–450 °C, with residence times in the range 30–50 s, and fast pyrolysis at 450–600 °C, 1–5 s residence time. The comparison between simulation and experimental results was performed, focusing on the product yields and components. The results revealed a significant correlation between the two sets of results, not only for slow pyrolysis but also for quick pyrolysis processes of biomass, with less than 8% difference error when compared to the pilot plant and earlier experimental work. The simulation model was proven to be suitable for predicting pyrolysis yields and products within the common temperature and residence time ranges, and it was discovered to be ideal for predicting the outcomes of fast pyrolysis products within the specific scope of operation. The results from the model showed a high level of reliability in estimating the composition of different compounds obtainable, not only from slow pyrolysis but also from fast pyrolysis, with a 0.99 Pearson's correlation coefficient.en_US
dc.subjectEngineeringen_US
dc.titleImproved simulation of lignocellulosic biomass pyrolysis plant using chemical kinetics in Aspen Plus® and comparison with experimentsen_US
dc.typeJournalen_US
article.title.sourcetitleAlexandria Engineering Journalen_US
article.volume63en_US
article.stream.affiliationsUniversity of South Carolinaen_US
article.stream.affiliationsMahidol Universityen_US
article.stream.affiliationsThe University of Sheffielden_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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