Yahia Manel Ben, Wjihi Sarra
Physics Department, Rabigh College of Science and Arts, King Abdulaziz University, Jeddah, P.O Box 344, Rabigh, 21911, Saudi Arabia.
Laboratory of Quantum and Statistical Physics, LR18ES18, Faculty of Science of Monastir, Monastir University, Monastir, Tunisia.
Sci Rep. 2020 Sep 30;10(1):16118. doi: 10.1038/s41598-020-73268-w.
An advanced statistical physics model has been applied to study the hydrogen adsorption isotherm on two modified types of activated carbon, namely granular coal activated carbon (AC (GC)) and coconut shell activated carbon (AC (CS)). This model is established with the statistical physics approach. It is a more general model including various parameters having a defined physico-chemical sense which were discussed at different temperatures. Hence new physic-chemical interpretations of the adsorption process of hydrogen are provided. The analysis of the hydrogen uptake capacities at saturation showed that the AC (GC) adsorbent displayed a high adsorption capacity (3.21 mg/g). This due to the contribution of the number of hydrogen molecules per site (1.27) associated with the receptor sites density (0.74 mg/g) and the number of formed layers (3.42). The modeling results suggested that the hydrogen adsorption occurred by non-parallel positions on the two tested adsorbents thus evincing that the adsorption cannot be other than a multi-molecular process. The calculated adsorption energies globally varied from 7.01 to 12.92 kJ/mol, confirming the physical nature of the adsorption process for both studied systems. The thermodynamic functions, namely internal energy, enthalpy and entropy were estimated to better analyze the hydrogen sorption process. In summary, the statistical physics analysis provided reliable concrete physico-chemical interpretations of hydrogen adsorption process on carbon-based adsorbents with various microstructures to develop a storage compounds with a suitable framework for a hydrogen storage structure.
一种先进的统计物理模型已被应用于研究氢气在两种改性活性炭上的吸附等温线,这两种活性炭分别是粒状煤质活性炭(AC(GC))和椰壳活性炭(AC(CS))。该模型是用统计物理方法建立的。它是一个更通用的模型,包含各种具有明确物理化学意义的参数,这些参数在不同温度下进行了讨论。因此,对氢气吸附过程提供了新的物理化学解释。对饱和吸附量的分析表明,AC(GC)吸附剂表现出较高的吸附容量(3.21 mg/g)。这是由于每个位点的氢分子数(1.27)、受体位点密度(0.74 mg/g)和形成的层数(3.42)的共同作用。建模结果表明,在两种测试吸附剂上,氢气吸附是通过非平行位置发生的,从而表明吸附只能是一个多分子过程。计算得到的吸附能总体上在7.01至12.92 kJ/mol之间变化,证实了两个研究体系吸附过程的物理性质。为了更好地分析氢气吸附过程,对热力学函数,即内能、焓和熵进行了估算。总之,统计物理分析为基于碳的吸附剂上氢气吸附过程提供了可靠的具体物理化学解释,这些吸附剂具有各种微观结构,以便开发出具有合适框架的储氢化合物用于储氢结构。