Coking Prediction in Catalytic Glucose Conversion to Levulinic Acid Using Improved Lattice Boltzmann Model

doi:10.1021/acs.iecr.0c03635

GIEC OpenIR

	Coking Prediction in Catalytic Glucose Conversion to Levulinic Acid Using Improved Lattice Boltzmann Model
	Liu, Siwei 1,2,3; Wei, Xiangqian 4; Sun, Weitao 4; Wang, Chenguang 1,2,3; Li, Wenzhi 4; Ma, Longlong1,2,3 ; Liu, Qiying1,2,3
	2020-09-30
发表期刊	INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
ISSN	0888-5885
卷号	59 期号:39 页码:17462-17475
通讯作者	Ma, Longlong(liuqy@ms.giec.ac.cn) ; Liu, Qiying(mall@ms.giec.ac.cn)
摘要	Considering process efficiency, flow and coking are important aspects in biomass and its derivatives for catalytic conversion to value-added products. However, these investigations are scarcely involved due to the very complex reaction environment and coupling mass transfer and coking process. To better understanding the coking process in glucose catalytic conversion to levulinic acid (LA), a particle-scale model based on the lattice Boltzmann model (LBM) was proposed. In this model, a coking model based on to volume of pixels scheme was developed to simulate the coking deactivation process, and a zeolite permeability model based on the gray LBM scheme was developed for fluid permeation inside shaped zeolite. The model was validated by both analytical and experimental data. The effects of temperature, particle porosity, and coking on catalyst deactivation, product yield, and selectivity were investigated. The numerical results indicated that the deactivation time of shaped zeolite peaked at the particle porosity of 0.20 and increased as the operating temperature decreased. Glucose conversion, LA yield, and humins yield increased with the increase of particle porosity and operating temperature. The opposite trend of the intermediate 5-hydroxymethylfurfural (HMF) was found when the temperature and porosity were increased. The results also showed that the LA selectivity and the yield ratio of LA to humins peaked at a porosity of 0.45 and a reaction temperature of 180 degrees C.
DOI	10.1021/acs.iecr.0c03635
关键词[WOS]	BIOMASS FAST PYROLYSIS ; PORE-SCALE SIMULATION ; LIGNOCELLULOSIC BIOMASS ; FE/HY ZEOLITE ; CELLULOSE ; FLOW ; DECOMPOSITION ; DEHYDRATION ; DISSOLUTION ; CHEMICALS
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2018YFB1501402] ; National Natural Science Foundation of China[51536009] ; National Natural Science Foundation of China[51976220] ; Natural Science Foundation of Guangdong Province[2017A030308010] ; DNL Cooperation Fund, CAS[DNL180302] ; Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program[2017BT01N092]
WOS研究方向	Engineering
项目资助者	National Key R&D Program of China ; National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; DNL Cooperation Fund, CAS ; Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program
WOS类目	Engineering, Chemical
WOS记录号	WOS:000577113500054
出版者	AMER CHEMICAL SOC
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/32187
专题	中国科学院广州能源研究所
通讯作者	Ma, Longlong; Liu, Qiying
作者单位	1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 2.Chinese Acad Sci, Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 3.Guangdong Key Lab New & Renewable Energy Res & De, Guangzhou 510640, Peoples R China 4.Univ Sci & Technol China, Dept Thermal Sci & Energy Engn, Lab Basic Res Biomass Convers & Utilizat, Hefei 230026, Peoples R China
第一作者单位	中国科学院广州能源研究所
推荐引用方式 GB/T 7714	Liu, Siwei,Wei, Xiangqian,Sun, Weitao,et al. Coking Prediction in Catalytic Glucose Conversion to Levulinic Acid Using Improved Lattice Boltzmann Model[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,2020,59(39):17462-17475.
APA	Liu, Siwei.,Wei, Xiangqian.,Sun, Weitao.,Wang, Chenguang.,Li, Wenzhi.,...&Liu, Qiying.(2020).Coking Prediction in Catalytic Glucose Conversion to Levulinic Acid Using Improved Lattice Boltzmann Model.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,59(39),17462-17475.
MLA	Liu, Siwei,et al."Coking Prediction in Catalytic Glucose Conversion to Levulinic Acid Using Improved Lattice Boltzmann Model".INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 59.39(2020):17462-17475.