光皮梾木油热解产物催化加氢制备生物燃料

doi:10.3969/j.issn.0253-2417.2020.05.006

Abstract

Abstract:

The preparation of biofuels by catalytic hydrogenation from the pyrolysis products of Swida wilsoniana oil was studied. The catalytic hydrogenation process was investigated and optimized by single factor test and response surface experiments. The optimum parameters obtained by single factor test were catalyst dosage 1.0%, reaction temperature 170℃, reaction pressure 2.0 MPa, reaction time 150 min and the maximum conversion was 96.3%. The optimal parameters obtained by response surface experiments were catalyst dosage 1.05%, reaction temperature 173℃, reaction pressure 2.0 MPa, and the highest catalytic conversion rate was 98.1%. It was found by GC-MS, elemental analysis and FT-IR that after hydrogenation, alkanes increased by 8.15 percentage points, oxygen content decreased from 10.502% to 2.392%, and biological hydrocarbon compounds increased significantly, with the mass fraction of 95.12%. At the same time, the carbon chain C₃-C₇ in biofuels increased by 4.31 percentage point and C₈-C₁₉ increased by 18 percentage point compared with that of pyrolysis products. The product structure was closer to the existing fossil fuels.

Key words: Swida wilsoniana, response surface methodology, catalytic hydrogenation, bio-hydrocarbon fuel, Ni-ZSM-5

CLC Number:

TQ35
TS224.6

Aihua ZHANG,Juan TANG,Pengying LAI,Yidan HE,Jilie LI,Zhihong XIAO. Bio-hydrocarbon Fuel Preparation from Pyrolysate of Swida wilsoniana Fruit Oil by Catalytic Hydrogenation[J]. Chemistry and Industry of Forest Products, 2020, 40(5): 43-49.

Figures/Tables 8

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Table 1

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Table 4

References 18

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序号 No.	X₁ 催化剂用量/% catalytic dosage	X₂ 反应温度/℃ temperature	X₃ 反应压力/MPa pressure	Y 转化率/% conversion rate
1	1.0	140	2.5	89.01
2	1.0	200	2.5	92.46
3	1.2	170	1.5	91.19
4	1.0	170	2.0	98.48
5	1.2	200	2.0	92.25
6	1.0	170	2.0	96.86
7	0.8	200	2.0	88.50
8	1.0	140	1.5	89.69
9	0.8	140	2.0	86.35
10	1.0	200	1.5	88.15
11	1.0	170	2.0	97.84
12	0.8	170	2.5	87.69
13	1.2	140	2.0	90.70
14	0.8	170	1.5	84.31
15	1.2	170	2.5	90.19
16	1.0	170	2.0	97.34
17	1.0	170	2.0	98.58

方差来源 variance source	平方和 SS	自由度 df	均方 MS	F值 F value	P值 P value	显著性 significance
模型model	324.30	9	36.03	85.03	< 0.0001	**
X₁	38.19	1	38.19	90.13	< 0.0001	**
X₂	3.93	1	3.93	9.28	0.0187	*
X₃	4.52	1	4.52	10.65	0.0138	*
X₁X₂	0.090	1	0.090	0.21	0.6589
X₁X₃	4.80	1	4.80	11.32	0.0120	*
X₂X₃	6.23	1	6.23	14.69	0.0064	**
X₁²	102.18	1	102.18	241.14	< 0.0001	**
X₂²	49.93	1	49.93	117.84	< 0.0001	**
X₃²	87.12	1	87.12	205.60	< 0.0001	**
残差residual	2.97	7	0.42
失拟项lake of fit	0.80	3	0.27	0.49	0.7062
净残差pure error	2.17	4	0.54
总离差correlation total	327.26	16

样品sample	C/%	H/%	O/%	C/H
热解产物pyrolysis products	76.53	11.968	10.502	6.634
生物燃料bio-hydrocarbon fuel	84.83	12.778	2.392	6.639

样品 sample	碳链分布carbon chain distribution/%			物质成分composition/%
样品 sample	C₃~C₇	C₈~C₁₉	＞C₁₉	烷烃alkane	烯烃olefin	芳香烃aromatic	含氧化合物oxygenate
热解产物pyrolysis products	23.95	44.16	31.89	34.71	25.13	24.03	21.13
生物燃料bio-hydrocarbon fuel	27.89	62.75	9.36	42.86	30.08	21.42	5.64

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Bio-hydrocarbon Fuel Preparation from Pyrolysate of Swida wilsoniana Fruit Oil by Catalytic Hydrogenation

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