氢气储存
脱氢
催化作用
焓
氢化镁
解吸
氢
氢化物
材料科学
活化能
分析化学(期刊)
分解
化学
物理化学
无机化学
热力学
吸附
色谱法
有机化学
物理
作者
Liuting Zhang,Haijie Yu,Zhiyu Lu,Changhao Zhao,Jiaguang Zheng,Tao Wei,Fuying Wu,Beibei Xiao
标识
DOI:10.1016/j.cjche.2021.10.016
摘要
High hydrogen desorption temperature and sluggish reaction kinetics are the major limitations for the practical application of MgH2. In this study, Co particles with a face centered cubic (FCC) structure and a hexagonal close packed (HCP) structure were prepared facilely and proved to be good catalysts for magnesium hydride. Co particles with FCC structure presented better catalytic effect on MgH2 than that with HCP structure. Both 7% (mass) Co FCC and HCP particle modified MgH2 decreased the initial dehydrogenation temperature from 301.3 °C to approximately 195.0 °C, but 7% (mass) Co with FCC structure modified MgH2 has a faster desorption rate, and around 6.5% (mass) H2 was desorbed in 10 min at 325 °C. Hydrogen uptake was detected at 70 °C under 3.25 MPa hydrogen pressure and 6.0% (mass) H2 was recharged in 40 min at 150 °C. The hydrogen desorption and absorption activation energy for 7% (mass) FCC Co modified MgH2 was significantly decreased to (76.6±8.3) kJ·mol−1 and (68.3±6.0) kJ·mol−1, respectively. Thermodynamic property was also studied, the plateau pressures of MgH2 + 7% (mass) FCC Co were determined to be 0.14, 0.28, 0.53 and 0.98 MPa for 300 °C, 325 °C, 350 °C and 375°C. The decomposition enthalpy of hydrogen (ΔH) for MgH2 + 7% (mass) FCC Co was (80.6±0.1) kJ·mol−1, 5.8 kJ·mol−1 lower than that of as-prepared MgH2. Moreover, cycling performance for the first 20 cycles revealed that the reaction kinetics and capacity of MgH2-FCC Co composite remained almost unchanged. The result of density functional theory calculation demonstrated that cobalt could extract the MgH bond and reduced the decompose energy of magnesium hydride. Our paper can be presented as a reference for searching highly effective catalysts for hydrogen storage and other energy-related research fields.
科研通智能强力驱动
Strongly Powered by AbleSci AI