亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Roles of monometallic catalysts in hydrodeoxygenation of palm oil to green diesel

加氢脱氧 脱碳 除氧 催化作用 植物油精炼 柴油 化学 初湿浸渍 有机化学 生物柴油 选择性
作者
Atthapon Srifa,Kajornsak Faungnawakij,Vorranutch Itthibenchapong,Suttichai Assabumrungrat
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:278: 249-258 被引量:231
标识
DOI:10.1016/j.cej.2014.09.106
摘要

Diesel-like alkanes, so-called green diesel, produced from vegetable oil, have emerged as an important biofuel to replace petroleum diesel. In the present work, the deoxygenation of palm oil to green diesel was performed in a trickle-bed reactor over four γ-Al2O3-supported monometallic catalysts (Co, Ni, Pd, and Pt). The catalysts with various metal loadings (2–10 wt.%) were prepared by the incipient wetness impregnation method and were characterized by XRD, TPR, N2 sorption, TEM, and CO pulse chemisorption. The results revealed that metallic sites of the catalysts were formed after pre-reduction in H2 with differences in metal particle size and metal dispersion on γ-Al2O3. The reaction tests revealed that the catalytic activity was in the order of Co > Pd > Pt > Ni, whereas the turnover frequency (TOF) increased with increments of the metal particle size. The decarbonylation reaction was more dominant than the hydrodeoxygenation reaction when the reaction was catalyzed by Ni, Pd, and Pt catalysts. Meanwhile, the contribution of decarbonylation and/or decarboxylation was nearly comparable to that of the hydrodeoxygenation reaction over Co catalyst. By combining the reaction tests with a model compound, oleic acid, a reaction network for the deoxygenation of palm oil was suggested and discussed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
8秒前
科研通AI6.1应助zz采纳,获得10
9秒前
10秒前
wuyun9653发布了新的文献求助10
11秒前
13秒前
14秒前
15秒前
34秒前
聪聪发布了新的文献求助10
38秒前
38秒前
高挑的涛发布了新的文献求助10
45秒前
桐桐应助dqbhxwx采纳,获得10
50秒前
Akim应助元力采纳,获得10
57秒前
Hedy关注了科研通微信公众号
57秒前
58秒前
科研通AI6.2应助碘塞罗宁采纳,获得10
1分钟前
awang完成签到,获得积分10
1分钟前
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
思源应助科研通管家采纳,获得10
1分钟前
1分钟前
大胆的碧菡完成签到,获得积分10
1分钟前
dqbhxwx发布了新的文献求助10
1分钟前
Hedy发布了新的文献求助10
1分钟前
charih完成签到 ,获得积分10
1分钟前
打打应助dqbhxwx采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
毁灭吧发布了新的文献求助10
1分钟前
zzn完成签到,获得积分10
1分钟前
Gouki发布了新的文献求助10
1分钟前
王木木完成签到 ,获得积分10
1分钟前
星辰大海应助毁灭吧采纳,获得10
1分钟前
脑洞疼应助圆弧呱瓜采纳,获得10
1分钟前
1分钟前
碘塞罗宁完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362049
求助须知:如何正确求助?哪些是违规求助? 8175712
关于积分的说明 17223995
捐赠科研通 5416769
什么是DOI,文献DOI怎么找? 2866561
邀请新用户注册赠送积分活动 1843771
关于科研通互助平台的介绍 1691516