Parametric studies on a metal-hydride cooling system S. Mellouli a, *, F. Askri a , H. Dhaou a , A. Jemni a , S. Ben Nasrallah a,b a Laboratoire des Etudes des syste `mes Thermiques et Energe ´tiques (LESTE), ENIM, Route de Kairouan, 5019 Monastir, Tunisia b Centre de recherche en Science et Technologies de l’Energie, Technopole de Borj, Ce ´dria-Tunisie 1000, Tunisia article info Article history: Received 16 May 2008 Received in revised form 14 December 2008 Accepted 7 March 2009 Available online 29 March 2009 Keywords: Metal hydride Cooling system Operating parameters abstract A mathematical model and software set for computer simulation of operational metal- hydride cooling system are developed. The numerical model is able to take into account the coupled heat- and mass-transfer equations of the two reactors. Thus the model allows us to know and to foresee the effects of operational and design parameters on the perfor- mance of the metal-hydride cooling system. The model was validated by being compared to experimental data obtained by other authors and good agreements were obtained. Using this model, the effects of operating parameters are presented and discussed. ª 2009 International Association for Hydrogen Energy. Published by Elsevier Ltd. All rights reserved. 1. Introduction Metal hydrides have been explored for diverse applications such as hydrogen storage, energy conversion, heat storage, hydrogen compression, hydrogen separation, etc. Of these, energy conversion, heat transformation, heat pumping and refrigeration are important applications because hydrogen and hydriding alloys are environment-friendly and can be operated on low potential energy sources such as solar heat or wasted heat. Metal-hydride heating and cooling systems offer many advantages over conventional systems. They are compact, environmentally safe, utilize low-grade energy sources and offer wide operating temperature ranges. Studies have been carried out on various aspects of hydride cooling and heating systems such as: heat- and mass-transfer aspects [1–5], system simulation [6–8], hydride properties [9–11] etc. A few hydride cooling and heating systems have also been built and tested [11–14]. The main obstacles for the practical use of metal-hydride systems are a low-heat transport rate of the metal hydride and a relatively large irreversible heat loss during the hydriding and dehydriding processes. Extensive investiga- tions are required to overcome these obstacles, which are both time-consuming and costly. In order to save both time and cost, computer simulation can be introduced in the development of such metal-hydride systems. In particular, simulation can provide useful technical knowledge for improving the system by optimum reactor construction and identification of optimum operational parameters. This requires optimization of design parameters and operating conditions based on heat- and mass-transfer characteristics of the coupled reactors. In this paper, the design aspects and performance of a system working with a MmNi 4.5 Al 0.4 /MmNi 4.2 Al 0.1 Fe 0.7 pair are predicted by solving the coupled heat- and mass-transfer equations for the two reactors. Effects of operating parame- ters such as heat-source temperature and refrigeration temperature and reactor parameters such as efficiency of heat exchangers are studied. Results show that the specific output, and hence the COP of the system, depends significantly on these parameters. * Corresponding author. Tel.: þ216 97 644 090. E-mail address: mellouli_sofi[email protected](S. Mellouli). Available at www.sciencedirect.com journal homepage: www.elsevier.com/locate/he 0360-3199/$ – see front matter ª 2009 International Association for Hydrogen Energy. Published by Elsevier Ltd. All rights reserved. doi:10.1016/j.ijhydene.2009.03.010 international journal of hydrogen energy 34 (2009) 3945–3952
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i n t e r n a t i o n a l j o u r n a l o f h y d r o g e n e n e r g y 3 4 ( 2 0 0 9 ) 3 9 4 5 – 3 9 5 2
Avai lab le a t www.sc iencedi rec t .com
j ourna l homepage : www.e lsev ier . com/ loca te /he
Parametric studies on a metal-hydride cooling system
S. Melloulia,*, F. Askria, H. Dhaoua, A. Jemnia, S. Ben Nasrallaha,b
aLaboratoire des Etudes des systemes Thermiques et Energetiques (LESTE), ENIM, Route de Kairouan, 5019 Monastir, TunisiabCentre de recherche en Science et Technologies de l’Energie, Technopole de Borj, Cedria-Tunisie 1000, Tunisia
i n t e r n a t i o n a l j o u r n a l o f h y d r o g e n e n e r g y 3 4 ( 2 0 0 9 ) 3 9 4 5 – 3 9 5 2 3949
to those of process 2. However, the reaction rate equations (11)
and (16) for this process become respectively:
dX1
dt¼ kae
�Ea=RTa ln
�P
Peq
ðXS � X1Þ (19)
dX2
dt¼ kde
�Ed=RTd ln
�Peq
P
X2 (20)
The initial conditions are the final conditions of process 3.
For the system, the coefficient of performance (COP) is
defined as:
COP ¼ Ql
Qh
(21)
where
Fig. 4 – Transferred hydrogen flow rate.
Ql ¼ QB;4 � QB;3 (22)
Ql is the refrigerating effect obtained at low temperature Tl;
QB;3 and QB;4 are the energy transferred between the heat-
transfer fluid and the hydride bed B during processes 3 and 4
respectively.
The energy input at high temperature Th is given by
Qh ¼ QA;2 þ QA;1 (23)
here, QA;1 and QA;2 are the energy supplied to the hydride bed A
during processes 2 and 1 respectively.
The specific output q defined as the cooling capacity for
1 kg of alloy B, is given by
q ¼ Q1
MBtc(24)
Fig. 6 – Variation of average bed temperatures over a cycle.
Fig. 8 – Variation of equilibrium pressure over a cycle.Fig. 7 – Variation of average bed concentrations over
a cycle.
i n t e r n a t i o n a l j o u r n a l o f h y d r o g e n e n e r g y 3 4 ( 2 0 0 9 ) 3 9 4 5 – 3 9 5 23950
where MB is the mass of alloy B and tc is the time taken for one
complete cycle.
Fig. 9 – Effect of efficiency of the heat exchanger on specific
alloy output.
4. Model validation and results
The system of equations that is presented in the previous
section is solved numerically by a FORTRAN program.
In order to validate the developed model, we have
compared numerical and experimental results reported by
Bjustrom et al. [15]. The pair of metal hydrides used in the
calculations is MmNi4.5Al0.5 (the high-pressure hydride) and
MmNi4.2Al0.1Fe0.7 (the low-pressure hydride).
In Table 1, the input data used to develop this calculation
has been summarized [8–15].
Figs. 3–5 show the average bed temperatures, transferred
hydrogen flow rate and transferred hydrogen respectively for
the pair of metal hydrides. From these profiles we note
that the mathematical model predicts correctly the evolution
of the considered parameters.
Figs. 6–8 show the average bed temperatures, bed concen-
trations and equilibrium pressure. It can be seen that the time
taken for process 4 (low-temperature desorption) is much
larger than that of process 2 (high-temperature desorption).
The times taken for the sensible heat-transfer processes 1 and 3
are negligible in comparison with the heat- and mass-transfer
processes 2 and 4. As shown in Fig. 6, owing to the poor heat-
transfer characteristicsof thebed, initially thebed temperature
decreases during desorption and increases during absorption.
It is observed that the bed pressure is pulled towards the
equilibrium pressure of the faster reactor, as shown in Fig. 8.
Fig. 9 shows the effect of efficiency of the heat exchanger
on specific alloy output of the cooling system. It can be seen
that a very low efficiency of the heat exchanger reduces the
specific alloy output significantly. Hence some form of heat-
transfer enhancement technique has to be adopted to
improve the efficiency of the heat exchanger. It can be
observed that for a given flow of heat-transfer fluid there
exists a value of efficiency of the heat exchanger, above which
its effect on system performance is negligible. This is because,
up to the optimum flow of heat-transfer fluid value, the heat
transfer through the hydride beds controls the whole process,
and above this value either the overall heat-transfer coeffi-
cient or the reaction kinetics assumes importance.
Figs. 10 and 11 show the effects of heat rejection and
refrigeration temperatures on specific alloy output and COP
respectively. The refrigeration temperature has a significant
effect on specific alloy output, as the desorption during
refrigeration process 4 controls the cycle time. Hence
increasing the refrigeration temperature increases the alloy
output. The time taken for processes 3 and 4 increases as the
Fig. 12 – Effects of refrigeration and heat-source
temperatures on specific alloy output.
Fig. 10 – Effects of refrigeration and heat rejection
temperatures on specific alloy output.
i n t e r n a t i o n a l j o u r n a l o f h y d r o g e n e n e r g y 3 4 ( 2 0 0 9 ) 3 9 4 5 – 3 9 5 2 3951
heat rejection temperature increases. Consequently, the
specific alloy output decreases with increasing heat rejection
temperatures. For a given reactor thermal capacity, the COP
increases as refrigeration temperature increases and the heat
rejection temperature decreases. This is due to the variation
in sensible heat loads during processes 1 and 3 with temper-
ature levels. Similarly, the availability of the output decreases,
and that of the input increases as the heat rejection temper-
ature decreases.
It can be observed that the COP and the specific alloy
output increase as the refrigeration temperature increases.
Hence an optimum value of refrigeration temperature has to
Fig. 11 – Effects of refrigeration and heat rejection
temperatures on COP.
be selected so that sufficiently high values of specific alloy
output and COP can be obtained.
Figs. 12 and 13 show the effect of heat-source temperature
on specific alloy output and the COP at different refrigeration
temperatures.
For a given heat rejection temperature, as the heat-source
temperature increases the pressure difference between reac-
tors A and B during process 2 increases. Therefore, the cycle
time decreases and the specific alloy output increases.
However, the effect of heat-source temperature is not signif-
icant when the refrigeration temperature is low. This is
because, when refrigeration temperature is low, the low-
temperature desorption during process 4 controls the cycle
time, and the time taken for process 2 is small compared with
Fig. 13 – Effects of refrigeration and heat-source
temperatures on COP.
i n t e r n a t i o n a l j o u r n a l o f h y d r o g e n e n e r g y 3 4 ( 2 0 0 9 ) 3 9 4 5 – 3 9 5 23952
that of process 4. However, at higher refrigeration tempera-
tures the times taken for process 2 and 4 are comparable, and
hence heat-source temperature also assumes importance.
COP decreases with heat-source temperature as the heat
input during the sensible heating process 1 increases.
Since the specific alloy output increases and COP as the
heat-source temperature increases, an optimum value of this
parameter has to be selected.
5. Conclusion
From the different simulations presented in this study, we
concluded that the performance of the cooling system can be
controlled by optimizing the refrigeration, heat rejection and
heat-source temperatures. However, since these three
temperatures depend upon the cooling requirement, ambient
temperature and available heat sources, additional heat
exchangers are required to recover the heat. The design
optimization should be based mainly on the optimum value of
these parameters. Using the system, an average COP of 0.45–
0.50 is obtained. The low value of COP is due to the low
enthalpy of formation of the low-temperature alloy
MmNi4.2Al0.1Fe0.7. However, this COP is still comparable with
that of the conventional adsorption systems such as zeolite–
water and zeolite–methanol.
Acknowledgements
The authors would like to express their deep gratitude to Mr. Ali
AMRI and his company ‘‘The English Polisher’’ for the minute,
painstaking proofreading of the present paper’s full text and of
the overall comments over of the article’s structure.
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