Coking Prediction in Catalytic Glucose Conversion to Levulinic Acid Using Improved Lattice Boltzmann Model
文献类型：期刊论文
| 作者 | Liu, Siwei2,3,4; Wei, Xiangqian1; Sun, Weitao1; Wang, Chenguang2,3,4; Li, Wenzhi1; Ma, Longlong2,3,4 ; Liu, Qiying2,3,4
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| 刊名 | INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
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| 出版日期 | 2020-09-30 |
| 卷号 | 59期号:39页码:17462-17475 |
| ISSN号 | 0888-5885 |
| DOI | 10.1021/acs.iecr.0c03635 |
| 通讯作者 | Ma, Longlong(liuqy@ms.giec.ac.cn) ; Liu, Qiying(mall@ms.giec.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | BIOMASS FAST PYROLYSIS ; PORE-SCALE SIMULATION ; LIGNOCELLULOSIC BIOMASS ; FE/HY ZEOLITE ; CELLULOSE ; FLOW ; DECOMPOSITION ; DEHYDRATION ; DISSOLUTION ; CHEMICALS |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000577113500054 |
| 出版者 | AMER CHEMICAL SOC |
| 资助机构 | 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 |
| 源URL | [http://ir.giec.ac.cn/handle/344007/32186]  |
| 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.Univ Sci & Technol China, Dept Thermal Sci & Energy Engn, Lab Basic Res Biomass Convers & Utilizat, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 3.Chinese Acad Sci, Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 4.Guangdong Key Lab New & Renewable Energy Res & De, Guangzhou 510640, Peoples R China |
| 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. |
入库方式： OAI收割
来源：广州能源研究所
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