[1]刘利平,韩顺创,陈 硕,等.基于热力学的生物油重整制氢低 CO 工艺优化[J].郑州大学学报(工学版),2022,43(04):41-46.[doi:10.13705/j.issn.1671-6833.2022.04.013]
　LIU L P,HAN S C,CHEN S,et al.Process Optimization of Bio-oil Reforming for Hydrogen Production with Low CO Based on Thermodynamics [J].Journal of Zhengzhou University (Engineering Science),2022,43(04):41-46.[doi:10.13705/j.issn.1671-6833.2022.04.013]
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基于热力学的生物油重整制氢低 CO 工艺优化()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
43卷
期数:
2022年04期
页码:
41-46
栏目:
出版日期:
2022-07-03

文章信息/Info

Title:
Process Optimization of Bio-oil Reforming for Hydrogen Production with Low CO Based on Thermodynamics
作者:
刘利平;  韩顺创;  陈 硕;  方书起
郑州大学机械与动力工程学院;

Author(s):
LIU L P;  HAN S C;  CHEN S;  et al.
School of Mechanical and Power Engineering, Zhengzhou University;

关键词:
Keywords:
分类号:
TK91TQ116. 2
DOI:
10.13705/j.issn.1671-6833.2022.04.013
文献标志码:
A
摘要:
针对燃料电池氢源低 CO 含量的应用需求,对生物油水蒸气重整制氢工艺进行了热力学分析, 并利用响应面法优化得到了高氢低 CO 工艺条件。 在温度 300 ~ 1 500 K、压力 0. 1 ~ 0. 7 MPa 和水碳比1. 0 ~ 7. 0 条件下,对生物油水蒸气重整制氢进行了热力学分析,发现高温、低压、高水碳比有利于产氢, 低温、较高压力和高水碳比会抑制 CO 生成;确定反应温度、压力和水碳比为分析变量,以高氢产率和低CO 干基摩尔浓度为优化目标,利用响应面法进行预测分析,得到了适合燃料电池应用的生物油水蒸气重整制氢低 CO 工艺条件。 结果表明,预测的优化结果与相近反应条件下的实验对比结果接近;比较响应面预测优化结果的氢产率和 CO 干基摩尔浓度与 Aspen Plus 热力学模拟结果的相应值,参数误差均小于 5% 。 生物油水蒸气重整制氢具有高氢低 CO 效果的热力学最优条件: 温度为 814. 98 K, 压力为0. 10 MPa,水碳比为 6. 00,在此条件下,氢产率为 88. 74% ,CO 干基摩尔浓度为 3. 07% 。
Abstract:
According to the application demand of low CO content in fuel cell hydrogen source, the thermody- namic analysis of bio-oil steam reforming process for hydrogen production was carried out, and the process conditions of high hydrogen and low CO were optimized and obtained by response surface method. Firstly, the thermodynamic analysis of hydrogen production by bio-oil steam reforming was carried out in the range of tem- perature 300 -1 500 K, pressure 0. 1 -0. 7 MPa and water to carbon ratio 1. 0 - 7. 0. The results showed that high temperature, low pressure and high water to carbon ratio were favorable for hydrogen production, while low temperature, higher pressure and high water to carbon ratio could inhibit the formation of CO. Then, reaction temperature, pressure and water to carbon ratio were determined as the analysis variables, and the high hydrogen yield and low CO dry basis molar concentration were taken as the optimization objectives. The response surface method was used for prediction and analysis, and the low CO process conditions of hydrogen production by bio- oil steam reforming suitable for fuel cell application were obtained. The optimized results were compared with the experimental results under similar reaction conditions, and the values were close. Comparing the hydrogen yield and CO dry basis molar concentration of response surface prediction optimization results with those of Aspen Plus thermodynamic simulation results, the parameter error was less than 5%. The thermodynamic optimal conditions for hydrogen production by bio-oil steam reforming with the effect of high hydrogen and low CO were obtained as follows:temperature 814. 98 K, pressure 0. 10 MPa and water carbon ratio 6. 00. In these conditions, the yield of hydrogen was 88. 74% and the dry basis molar concentration of CO was 3. 07%.
更新日期/Last Update: 2022-07-03