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231226s2022 xx |||||o 00| ||eng c |
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|a 10.1016/j.wasman.2022.09.010
|2 doi
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|a pubmed25n1154.xml
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|a (DE-627)NLM346329388
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|a (NLM)36116216
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|a (PII)S0956-053X(22)00455-X
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Tian, Liying
|e verfasserin
|4 aut
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|a Insight into derivative Weibull mixture model in describing simulated distributed activation energy model and distillers dried grains with solubles pyrolysis processes
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 18.10.2022
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|a Date Revised 18.10.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2022. Published by Elsevier Ltd.
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|a The kinetics of biomass pyrolysis is fundamental for exploring its mechanisms and optimizing its processes, which is helpful for designing its systems. The derivative Weibull mixture model was proposed for kinetic description of the simulated distribution energy model (DAEM) processes and distillers dried grains with solubles (DDGS) pyrolysis processes. The conversion rate data of these processes at different heating rates could be accurately described by the derivative Weibull mixture model. Moreover, the proposed model could effectively smooth the noises contained in the experimental conversion rate data of DDGS pyrolysis. The derivative Weibull mixture model separated DDGS pyrolysis reactions into several individual processes, and provided some data required for further isoconversional kinetic analysis. The predicted curves from the derivative Weibull mixture model allowed us to obtain the effective activation energies of DDGS pyrolysis, which varied significantly from 170 to 330 kJ mol-1 in the conversion range between 0.1 and 0.9
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|a Journal Article
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|a Derivative Weibull mixture model
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|a Distillers dried grains with solubles (DDGS)
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|a Distributed activation energy model (DAEM)
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|a Kinetics
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|a Pyrolysis
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1 |
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|a Li, Ruotong
|e verfasserin
|4 aut
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| 700 |
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|a Sun, Yilan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zou, Jianfeng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Shengyong
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Ma, Peng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tao, Hongge
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Qing, Chunyao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Li, Chong
|e verfasserin
|4 aut
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| 700 |
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|a Yellezuome, Dominic
|e verfasserin
|4 aut
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| 700 |
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|a Cai, Junmeng
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Waste management (New York, N.Y.)
|d 1999
|g 153(2022) vom: 05. Nov., Seite 219-228
|w (DE-627)NLM098197061
|x 1879-2456
|7 nnas
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| 773 |
1 |
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|g volume:153
|g year:2022
|g day:05
|g month:11
|g pages:219-228
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|u http://dx.doi.org/10.1016/j.wasman.2022.09.010
|3 Volltext
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