Effect of meso- and micropore structures on the hydrogen storage properties of nanoporous carbon materials

Toda, Ikumi; Komatsu, Keiji; Watanabe, Takuhiro; Toda, Hiroe; Akasaka, Hiroki; Ohshio, Shigeo; Saitoh, Hidetoshi

doi:10.1007/s10934-018-0589-0

Cited by 15 publications

(4 citation statements)

References 26 publications

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“…High surface areas and hierarchical pore structures make supreme micro-and mesopore (<2 nm and 2-50 nm) surface and volume characteristics that facilitate hydrogen adsorption. Microstructures (<2 nm) comparatively play a vital role compared with meso-and macrostructures (2-50 nm and >50 nm, respectively) in porous carbon [9]. It can be performed either "chemically" or "physically" at temperatures ranging from 250 to 600 • C. Physical activation occurs at temperatures between 600 and 1200 • C [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model

et al. 2023

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Porous carbons as solid adsorbent materials possess effective porosity characteristics that are the most important factors for gas storage. The chemical activating routes facilitate hydrogen storage by adsorbing on the high surface area and microporous features of porous carbon-based adsorbents. The present research proposed to predict H2 storage using four nature-inspired algorithms applied in the random forest (RF) model. Various carbon-based adsorbents, chemical activating agents, ratios, micro-structural features, and operational parameters as input variables are applied in the ML model to predict H2 uptake (wt%). Particle swarm and gray wolf optimizations (PSO and GWO) in the RF model display accuracy in the train and test phases, with an R2 of ~0.98 and 0.91, respectively. Sensitivity analysis demonstrated the ranks for temperature, total pore volume, specific surface area, and micropore volume in first to fourth, with relevancy scores of 1 and 0.48. The feasibility of algorithms in training sizes 80 to 60% evaluated that RMSE and MAE achieved 0.6 to 1, and 0.38 to 0.52. This study contributes to the development of sustainable energy sources by providing a predictive model and insights into the design of porous carbon adsorbents for hydrogen storage. The use of nature-inspired algorithms in the model development process is also a novel approach that could be applied to other areas of materials science and engineering.

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Section: Introductionmentioning

confidence: 99%

Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model

et al. 2023

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“…Department of Energy (DOE), which are accepted globally [32][33][34]. The supplementary Table S1 summarizes the specification of a hydrogen storage system for mobile application (light-duty vehicles) [35].…”

Section: Introductionmentioning

confidence: 99%

“…The present paper focused on the graphene oxide prepared by exfoliation at high temperature in gaseous environments. The graphene with wide range of surface areas were reported (156-751 m 2 /g) on exfoliation in different gaseous environments in the temperature range of 523-2673 K [10,12,33,37,[41][42][43][44][45][46][47][48]. The reported hydrogen storage at 77 K for graphenes, exfoliated in different carrier gases, also varied depending on the graphene properties and pressure used during adsorption (Supplementary Table S2).…”

Section: Introductionmentioning

confidence: 99%

Effects of gaseous environments on physicochemical properties of thermally exfoliated graphene oxides for hydrogen storage: a comparative study

Singh

2021

J Porous Mater

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The present study compared the effect of different gaseous environments on physicochemical properties and subsequent hydrogen storage ability of thermally exfoliated graphene oxide (EGO). The reducing, inert or oxidizing environments were generated using hydrogen, argon or air as the carrier gas, respectively. The structure of thermally exfoliated graphene oxide depended on the type of gaseous environment. The EGO prepared in presence of Air showed the fluffiest layered structure having highest surface area. The surface area order was EGO(Air) (268 m 2 /g) > EGO(H 2 ) (248 m 2 /g) > EGO(Ar) (155 m 2 /g). The average pore sizes of EGO(Air) and EGO(H 2 ) were 2.9 and 2.8 nm, with pore volumes of 1.2 and 1.6 cm 3 /g, respectively. The average pore size for EGO(Ar) was highest at 4.1 nm, associated with presence of larger void space and lowest total pore volume of 1.0 cm 3 /g. Thus, presence of oxidative or reducing atmosphere seemed to be more conducive to exfoliation of layers by gradual removal of functional groups. The inert atmosphere of argon caused severe thermal separation of layers and functional groups, adversely affecting the layered structure as observed. The EGO(Air) also showed highest O/C ratio suggesting presence of significant amount of oxygen-containing functional groups on the surface. The hydrogen uptake order at 77 K and 30 bar was: EGO (Air) 3.34 wt.% > EGO (H 2 ) 3.12 wt.% > EGO (Ar) 2.2 wt.%. The highest uptake of EGO(Air) might have resulted from highest surface area, highest O/C ratio and presence of considerable pore volume.

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“…To study structural changes, except for XRD 17) and TEM, 18) a wide range of techniques are currently used: small-angle X-ray scattering (SAXS), 19) small-angle neutron scattering, 20) and gas adsorption/desorption analysis. 21) Each of these methods has its advantages and disadvantages. Among the methods used for the determination of the size and size distribution of nanoparticles, only a few are applicable in various experimental environments, i.e.…”

Section: Introductionmentioning

confidence: 99%

Structural behaviors in water adsorbing phenomena on nanoporous carbon fabricated from waste rice husk

Li¹,

Yamazaki²,

Komatsu³

et al. 2021

Jpn. J. Appl. Phys.

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The nanoporous carbon (NPC) performance, used for drug delivery carriers, wastewater treatment, or hydrogen storage, is strongly determined by the pore morphology during the desorption. In this work, the structural characteristics of NPC fabricated from rice husk by KOH activation were studied. X-ray diffractometry (XRD) and small-angle X-ray scatter were then implemented to characterize the pore size and adsorbate model under a series of adsorption–desorption conditions, combined with the details of the multilayer pore morphology obtained from gas adsorption. To this aim, the water was selected as adsorbate, which could be investigated under desorption conditions. The results confirmed that NPC changed from an amorphous structure to a regularly arrayed monolayer structure by introducing adsorbates and returns to their origin after thoroughly drying. A detailed understanding of the behavior of adsorbent and adsorbate may facilitate its storage ability and application in selective sorption, separation, and storage processes.

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Effect of meso- and micropore structures on the hydrogen storage properties of nanoporous carbon materials

Cited by 15 publications

References 26 publications

Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model

Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model

Effects of gaseous environments on physicochemical properties of thermally exfoliated graphene oxides for hydrogen storage: a comparative study

Structural behaviors in water adsorbing phenomena on nanoporous carbon fabricated from waste rice husk

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