Three-dimensional modeling and simulation of hydrogen absorption in metal hydride hydrogen storage vessels

Nam, Jinmoo; Ko, Johan; Ju, Hyunchul

doi:10.1016/j.apenergy.2011.06.015

Cited by 107 publications

(25 citation statements)

References 22 publications

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“…2. In order to achieve a capacity of 60 g of H 2 per compression cycle the mass of the each hydride required for this study was: 4.45 kg LaNi 5 , 4.12 kg MmNi 4.6 Al 0.4 , 3.42 kg Zr-V-Mn-Nb and 3.98 kg Hydralloy C. For simplicity reasons, the porosity of all the hydride beds was chosen to be 0.5, a value which typifies several literature reports [18,19]. The thermal…”

Section: Geometry Of the Systemmentioning

confidence: 99%

Numerical study on a two-stage Metal Hydride Hydrogen Compression system

Gkanas

Grant

Stuart

et al. 2015

Journal of Alloys and Compounds

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A multistage metal hydride hydrogen compression (MHHC) system uses a combination of hydride materials in order to increase the total compression ratio, whilst maximizing the hydrogenation rate from the supply pressure at each stage. By solving the coupled heat, mass and momentum conservation equations simultaneously the performance of a MHHC system can be predicted. In the current work a numerical model is proposed to describe the operation of a complete compression cycle. Four different MHHC systems are examined in terms of maximum compression ratio, cycle time and energy consumption and it was found that the maximum compression ratio achieved was 22:1 when operating LaNi 5 (AB 5 -type) and a Zr-V-Mn-Nb (AB 2 -type intermetallic) as the first and second stage alloys respectively in the temperature range of 20 °C (hydrogenation) to 130 °C (dehydrogenation).

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Section: Geometry Of the Systemmentioning

confidence: 99%

Numerical study on a two-stage Metal Hydride Hydrogen Compression system

Gkanas

Grant

Stuart

et al. 2015

Journal of Alloys and Compounds

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“…Firstly, the numerical model is implemented using the available data shown in Table 1 and a simple cylindrical geometry ( Fig. 1, a), to compare the results with other authors' published work [15,16]. Once the numerical simulation is setup and running, it is necessary to adapt it to the laboratory situation, by means of calibrating the material properties as well as the operating conditions.…”

Section: Numerical Simulation Casesmentioning

confidence: 99%

“…Nam et al [16] developed a three-dimensional model to study the hydrogen absorption reaction, heat and mass transport phenomena in a metal hydride hydrogen storage tank. A parametric study was carried out for various designs and hydrogen feed pressures.…”

Section: Introductionmentioning

confidence: 99%

Effect of metal hydride properties in hydrogen absorption through 2D-axisymmetric modeling and experimental testing in storage canisters

Busqué

Torres²,

Grau³

et al. 2017

International Journal of Hydrogen Energy

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A two-dimensional axisymmetric model is developed to study the hydrogen absorption reaction and resultant mass and heat transport phenomena inside a metal hydride canister. The model is compared against published literature and experimental data. Experimental tests are performed on an in-house fabricated setup using different cooling scenarios. An extensive study on the effects of the metal properties on charging performance is carried out through nondestructive testing (NDT). Results show that the properties that most influence the charging performance are: absorption rate constant (Ca), activation energy (Ea) and thermal conductivity (k m ). A Higher porosity (ε) reduces charging time and amount of hydrogen stored while a higher cooling level produces a faster charging process. These results can be used to select metal hydride materials but also to estimate the metal hydride internal state and the process can be used for future evaluation of metal hydride degradation.

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“…Concerning local entropy balance equation of the cooling water in the inner tube in formula (15), in addition to the fluid thermal conductivity k f item, energy dissipation μ f caused by the inner tube water flow friction V f,z , needs to be added. S water is water-cooled elements entropy generation value.…”

Section: Local Entropy Balance Calculation Formulamentioning

confidence: 99%

“…In 2012 Muthukumar used Comsol 4.2 numerical software simulation and found the best arrangement and parameter of hydrogen storage tank temperature control [14]. In 2012 Jinmoo's first 3D numerical simulation experiments verified heat and mass transfer phenomena of hydrogen storage reaction process and confirmed the capability to reduce the burden of cooling by lifting the hydrogen inlet pressure [15]. In 2013 Sharad numerically analyzed entropy increase of several phenomena under state of hydrogen storage, but irreversibility of the tank heat conduction temperature difference was still main factor [16].…”

Section: Introductionmentioning

confidence: 99%