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Research Papers: SPECIAL SECTION PAPERS

Numerical Investigation of Heat and Mass Transfer During the Desorption Process of a LaNi5–H2 Reactor

[+] Author and Article Information
Fatma Bouzgarrou

Laboratory of Energy and
Thermal Systems (LESTE),
University of Monastir,
Monastir 5019, Tunisia
e-mail: Bouzgarroufatma@yahoo.fr

Faouzi Askri

Laboratory of Energy and
Thermal Systems (LESTE),
University of Monastir,
Monastir 5019, Tunisia;
Faculty of Engineering,
King Khalid University,
Abha 62529, Saudi Arabia
e-mail: Faouzi.askri@enim.rnu.tn

S. Ben Nasrallah

Laboratory of Energy and
Thermal Systems (LESTE),
University of Monastir,
Monastir 5019, Tunisia
e-mail: Sassi.bennasrallah@enim.rnu.tn

1Corresponding author.

Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received August 12, 2014; final manuscript received March 11, 2016; published online June 1, 2016. Assoc. Editor: Ziad Saghir.

J. Heat Transfer 138(9), 091006 (Jun 01, 2016) (7 pages) Paper No: HT-14-1527; doi: 10.1115/1.4033056 History: Received August 12, 2014; Revised March 11, 2016

In this paper, coupled heat and mass transfer during the desorption process of a metal–hydrogen reactor (LaNi5–H2) is numerically investigated. To predict the dynamic behavior of this reactor, a new algorithm based on the lattice Boltzmann method (LBM) is proposed as a potential solver. Based on this algorithm, a computer code is developed using fortran 90. This algorithm is validated successfully by comparison with experimental data reported in the literature and results obtained by finite volume method (FVM). Using the developed code, the time–space evolutions of the temperature and the hydride density within the reactor are presented. In addition, the effect of some parameters (applied pressure, heating temperature, and overall heat transfer coefficient) on the dynamic behavior of the reactor is evaluated. Compared to the FVM, the proposed algorithm presents simple implementation on a computer and with reduced CPU time.

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Figures

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Fig. 1

Metal–hydrogen reactor

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Fig. 2

Schematic diagram of the D2Q9 lattice

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Fig. 5

Time–space evolution of (a) the temperature and (b) the hydride density

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Fig. 6

Effect of hydrogen outlet pressure on (a) temperature and (b) hydrogen mass desorbed

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Fig. 7

Effect of heating fluid temperature on hydrogen mass desorbed

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Fig. 8

Effect of overall heat transfer coefficient on hydrogen mass desorbed

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Fig. 3

Calculated and measured pressure evolution within the reservoir

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Fig. 4

Time evolution of temperature during the desorption process at three locations (A, B, and C) of the reactor

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