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Article

Performance Analysis of a Hybrid System Consisting of a Molten Carbonate Direct Carbon Fuel Cell and an Absorption Refrigerator

1
Department of Microelectronic Science and Engineering, Ningbo University, Ningbo 315211, China
2
Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(3), 357; https://doi.org/10.3390/en12030357
Submission received: 3 January 2019 / Revised: 18 January 2019 / Accepted: 21 January 2019 / Published: 23 January 2019

Abstract

:
By integrating an Absorption Refrigerator (AR), a new hybrid system model is established to reuse the waste heat from a Molten Carbonate Direct Carbon Fuel Cell (MCDCFC) for additional cooling production. Various irreversible losses in each element of the system are numerically described. The operating current density span of the MCDCFC that allows the AR to work is derived. Under different operating conditions, the mathematical expressions for equivalently evaluating the hybrid system performance are derived. In comparison with the stand-alone MCDCFC, the maximum attainable power density of the proposed system and its corresponding efficiency are increased by 5.8% and 6.8%, respectively. The generic performance features and optimum operating regions of the proposed system are demonstrated. A number of sensitivity analyses are performed to study the dependences of the proposed system performance on some physical parameters and operating conditions such as operating temperature, operating current density, and pressure of the MCDCFC, cyclic working fluid internal irreversibility inside the AR, thermodynamic losses related parameters and the anode thickness of the MCDCFC. The obtained results may offer some new insights into the performance improvement of an MCDCFC through a reasonable heat management methodology.

1. Introduction

The global energy demand dramatically increases with the increases of urbanization, modernization and the human population; however, the world highly depends on fossil fuels such as oil, natural gas and coal [1]. Coal is the most affluent fossil fuel in the world and is widely used in coal-fired plants to generate electricity [2]. A Direct Carbon Fuel Cell (DCFC) enables us to directly transform the chemical energy stored in solid carbon into electrical energy without any gasification or complicated intermediate processes, which offers comparatively higher energy conversion efficiency and lower greenhouse gas emission levels [3,4]. Based on the kinds of electrolytes, DCFCs may be primary assorted into three types: solid oxide [5,6,7], molten hydroxide [8,9], and molten carbonate DCFCs [10,11,12]. Due to its high stability, low toxicity, high electrical conductivity and low melting point, the Molten Carbonate Direct Carbon Fuel Cell (MCDCFC) is regarded as a promising technology for efficient, environment-friendly coal utilization [13].
Although the research and development of MCDCFCs have made great progress in aspects such as electrolyte development [14,15], prototype design [16,17] and lifetime extension [18,19], the energy conversion efficiency of MCDCFCs is still low [20]. Alternatively, the MCDCFC performance can be also equivalently improved by building cogeneration systems [21,22,23,24,25], since a large proportion of the chemical energy stored in fuels is released as waste heat. Steinberg [21] developed an innovative hybrid system integrating an MCDCFC with a hydrogen plasma black reactor, which converted the biomass and fossil fuels into transportation fuels and electricity. The thermal efficiency was found to be 70–90%. Zhang et al. [22] proposed and simulated a hybrid system mainly composed of an MCDCFC and a thermoelectric generator, which was used to recover the waste heat generated in the MCDCFC for electricity production. Liu et al. [23] presented a hybrid system composed of an MCDCFC, a methane catalytic decomposition reactor, two gas turbines and an internal reforming solid oxide fuel cell. Their studies showed that the MCDCFC performed better at relatively higher loads. The exergy efficiency for such system was 68.24%, while if the waste heat contained in the exhaust gases was further reused, the overall exergy efficiency could be over 80% [24]. Chen et al. [25] used the application of a Carnot heat engine to harvest the waste heat from an MCDCFC, and theoretically studied the effects of some important parameters on the proposed system performance.
The conventional electrically driven vapor refrigeration systems use chlorofluorocarbon refrigerants that may deplete the ozone layer [26]. Absorption refrigerators (ARs), capable of cooling and driven by heat instead of electricity with environmental-friendly working fluid, have attracted attention in fields such as waste heat recovery and low-grade heat utilization [27,28,29]. Obviously, it is convenient to use the AR to harvest the waste heat from fuel cells [30,31,32,33]. Representatively, Silveira et al. [30] used the waste heat from a molten carbonate fuel cell to drive an AR to produce electricity and cold water simultaneously. They demonstrated that this path was feasible from multi-perspectives.
In the present work, a new hybrid system that couples an AR to an MCDCFC to cogenerate electricity and cooling is put forward, so that the overall performance of the MCDCFC can be improved. The irreversible loss in each element within the system is numerically described. The mathematical formulas of power output and efficiency to evaluate the cogeneration system performance are formulated, and the operating current density region of the MCDCFC that enables the bottoming AR to work will be determined. The optimum operating regions for the performance parameters are given. The impacts of some design parameters and operating conditions on the proposed system performance will be revealed by comprehensive sensitivity analyses.
The concrete contents of this paper are arranged as follows. In Section 2, each component within the presented system will be introduced and described, and the equivalent output power density and efficiency of the hybrid system will be deduced by considering various irreversible losses. In Section 3, the generic performance characteristics and the optimum operating ranges for the presented system will be revealed and determined. In Section 4, the effects of some irreversible losses and operating conditions on the hybrid system performance will be analyzed through comprehensive sensitivity analyses.

2. System Description

The hybrid system consists of an MCDCFC, an AR and a regenerator, as illustrated in Figure 1, where the AR is constituted by an evaporator, a generator, an absorber and a condenser. MCDCFC transforms the chemical energy stored in solid carbon into electrical power with heat energy as the by-product. The whole system is operated under atmospheric condition, which may significantly reduce the system complexity. The MCDCFC and AR are configurated in the indirect thermal coupling form, in which the produced heat is indirectly transferred to the bottoming AR through a heat exchanger. A part of the waste heat is used to make up the regenerative losses, another part is directly dissipated into the surrounding environment, and the rest is transferred to the generator of the bottoming AR for cooling production. The cycle of the AR working substance comprises of three irreversible isothermal and three irreversible adiabatic processes. In Figure 1, P DCFC is the electric power output of the MCDCFC, q h is the heat flow from the MCDCFC at T to the working substance in the generator at T 1 , q 0 is the overall rate of heat transfer from the working substance in the absorber and condenser at T 3 to the environment at T 0 , q c is the heat flow between the cooled space at T c and the working substance in the evaporator at T 2 , q r e is the rate of regenerative heat loss, q L is the heat-leakage rate from the MCDCFC to the ambience. The regenerator functions as a counter-flow heat exchanger that preheats the incoming reactants by means of the heat contained in the exhaust products.
The hybrid system is formulated based on the following assumptions:
  • Both the MCDCFC and the AR are operated under steady-state conditions;
  • Operating temperature and pressure are uniform and constants in the MCDCFC;
  • Chemical reactions involved are complete;
  • All gases involved are ideal gases;
  • Carbon fuel is regarded as a rigid sphere and packed with a simple hexagonal pattern;
  • Electrical power required to compress the reactants is excluded in the calculations;
  • Working fluid in the AR constantly flows and continuously exchanges heat with the three heat reservoirs;
  • Heat transfers within the system obey Newton’s law.

2.1. MCDCFC

As described in Refs. [10,22], the output voltage of an MCDCFC is often smaller than the equilibrium potential due to the irreversible losses including activation overpotential, ohmic overpotential, and concentration overpotential. The power output and efficiency of an MCDCFC are, respectively, given by Refs. [10,22].
P DCFC = I V = j A ( E V a c t , a V a c t , c V c o n V o h m )
and
η DCFC = P Δ H = n e F V Δ h
where
E = E 0 + R T n e F ln [ p O 2 , cat ( p CO 2 , cat ) 2 p CO 2 , an 1 ]
V a c t , an = R T 2 F ln { j / ( 2 j 0 , an ) + [ j / ( 2 j 0 , an ) ] 2 + 1 }
V a c t , cat = R T 2 F ln { j / ( 2 j 0 , cat ) + [ j / ( 2 j 0 , cat ) ] 2 + 1 }
V c o n = R T n e F ln [ j lim / ( j lim j ) ]
V o h m I c , i R c , i + I e , i R e , i + V e c
Δ H = Δ h n e F j A
where I and j are, respectively, the electric current and current density flowing through the MCDCFC; A is the polar plate area of MCDCFC; V and E are, respectively, the output voltage and equilibrium potential; V a c t , an and V a c t , cat are, respectively, the anode and cathode activation overpotentials [34,35]; V c o n is the concentration overpotential [36,37]; V o h m is the ohmic overpotential; V e c is the total ohmic overpotential losses in the cathode and the electrolyte [10]; Δ H is the total energy (i.e., both electrical and thermal energies) released per unit time; ( Δ h ) is the molar enthalpy change of the electrochemical reactions in the MCDCFC [10]. The electrochemical model of MCDCFC has been compared with the one developed by Liu et al. [36] in a previous study [10]. It was shown that the adopted MCDCFC model was superior in accuracy to the one from Ref. [36].

2.2. Absorption Refrigerator

When q h flows from the MCDCFC to the generator, the AR begins to extract heat from the cooled space. The AR within the hybrid system functions as a three-heat-source absorption refrigerator [38,39,40,41]. For a total heat-transfer area A R and a given heat-transfer rate q h , the maximum cooling rate R and its homologous coefficient of performance (COP) ε for the AR are, respectively, given by [39,40]:
R = q c = q h 2 { [ ( a + I r T 0 T c C q h ) 2 4 T c ( 1 ( 1 + B ) 2 T 1 I r T 0 / T C q h ) ] 0.5 [ a + I r T 0 T c C q h ] }
and
ε = 1 2 { [ ( a + I r T 0 T c C q h ) 2 4 T c ( 1 ( 1 + B ) 2 T 1 I r T 0 / T C q h ) ] 0.5 [ a + I r T 0 T c C q h ] }
where
a = 1 + ( T c I r B 2 T 0 ) / [ ( 1 + B ) 2 T ]
B = ( b 2 1 ) / ( 1 + I r b 1 )
A R = A h + A c + A o
C = ( 1 + B ) 2 / ( A R K )
K = K h / [ 1 + I r b 1 ] 2
where I r is the internal irreversibility factor of the cyclic working fluid, b 1 = K h / K 0 , b 2 = K h / K c , K c and K h are the heat-transfer coefficients (HTCs) of the evaporator and the generator, K 0 is the HTC of the absorber or condenser, A R is the total heat-transfer area (HTA) of the AR, A c and A h are, respectively, the HTAs of the evaporator and generator, A 0 is the overall HTA of the absorber and condenser.
Considering the exergy content differences between electric power and cooling load, the equivalent power output P A R and the efficiency η A R for the AR can be, respectively, given by [42]:
P A R = q c | 1 T 0 T c | = q h 2 | 1 T 0 T c | { [ ( a + I r T 0 T c C q h ) 2 4 T c ( 1 ( 1 + B ) 2 T 1 I r T 0 / T C q h ) ] 0.5 [ a + I r T 0 T c C q h ] }
and
η A R = P A R q h = 1 2 | 1 T 0 T c | { [ ( a + I r T 0 T c C q h ) 2 4 T c ( 1 ( 1 + B ) 2 T 1 I r T 0 / T C q h ) ] 0.5 [ a + I r T 0 T c C q h ] }

2.3. Regenerator

With the help of the regenerator, the inlet reactants are preheated from the ambient temperature T 0 to the operating temperature of MCDCFC with the assistance of the outlet exhaust products. The rate of regenerative heat loss is often given by [33]:
q r e = K r e A r e ( 1 ε ) ( T T 0 )

2.4. Performance Parameter of the Hybrid System

The rate of heat-leak loss q L is supposed to be in proportion to the temperature gap between the MCDCFC and the ambience, and consequently, q L and q 1 can be, respectively, given by [43]:
q L = K L A L ( T T 0 )
and
q h = Δ H P DCFC q r e q L = A Δ h 2 F [ ( 1 η DCFC ) j 2 F ( c 1 + c 2 ) ( T T 0 ) Δ h ]
where K L and A L are, respectively, the heat-leak coefficient and the heat-leak area, c 1 = [ K r e A r e ( 1 ε ) ] / A and c 2 = K L A L / A are two temperature-independent constants related to the thermodynamic losses.
It is seen from Equation (20) that the AR starts to extract heat from the cooled space only when in Equation (21) is valid:
Δ H P DCFC > q r e + q L .
Considering Equation (20), Equation (21) can be explicitly revised as:
j > j C = [ 2 F Δ h ( 1 η DCFC ) ] [ ( c 1 + c 2 ) ( T T 0 ) ]
where j C is the lower bound of the MCDCFC operating current density, from which the AR starts to work. Based on Equations (16) and (20) and the condition of P AR > 0 , the allowable maximum current density j M can be also numerically calculated. Consequently, the effective operating current density interval is given by Δ j = j M j C .
When j is in the region of j C < j < j M , the equivalent power output P and efficiency η of the proposed system can be, respectively, given by:
P = P DCFC + q c | 1 T 0 T c | = P DCFC + q h 2 | 1 T 0 T c | { [ ( a + I r T 0 T c C q h ) 2 4 T c ( 1 ( 1 + B ) 2 T 1 I r T 0 / T C q h ) ] 0.5 [ a + I r T 0 T c C q h ] }
and
η = P DCFC + P AR Δ H = η DCFC + | 1 T 0 T c | 2 [ 1 η DCFC + 2 F ( c 1 + c 2 ) ( T T 0 ) j Δ h ] { [ ( a + I r T 0 T c C q h ) 2 4 T c ( 1 ( 1 + B ) 2 T 1 I r T 0 / T C q h ) ] 0.5 [ a + I r T 0 T c C q h ] }
When j j C or j j M , P and η of the proposed system are the same as that of the stand-alone MCDCFC, i.e.,
P = P DCFC
and
η = η DCFC .

3. Performance Characteristic and Optimum Operating Region

According to the typical parameters listed in Table 1 [10,34,36,44] and the equations in Section 2, the power densities and efficiencies of the stand-alone MCDCFC, AR and hybrid system versus the operating current density of MCDCFC are shown in Figure 2, where P DCFC * = P DCFC / A , P AR * = P AR / A and P * = P / A are, respectively, the power densities of the MCDCFC, AR and hybrid system; η D C F C , η A R and η are, respectively, the efficiencies of the MCDCFC, AR and hybrid system; j P is the operating current density at the maximum power density of hybrid system P max * , j C and j M are, respectively, the lower bound current density and upper bound current density between which the AR is enabled to work, P C * and η C are, respectively, the power density and efficiency at j C , P M * and η M are, respectively, the power density and efficiency at j M , j S is the stagnation current density from which the MCDCFC does not deliver electric power any more. It is seen that P * increases to attain its maximum P max * and then decreases as j increases because the output voltage is reduced at the same time, η first drops then somewhat raises and thereafter ongoingly decreases as j increases. Figure 2 also displays that j P is often different from j DCFC , P because j D C F C , P is always different from j AR , P , where j DCFC , P and j AR , P are, respectively, the current densities at the maximum power density of the MCDCFC P D C F C , max * and at the maximum power density of the AR P AR , max * . For the parameters listed in Table 1, the proposed system attains P max * , 375.9 W m 2 , at 1263 A m 2 , and the MCDCFC attains P DCFC , max * , 355.3 W m 2 , at 1278 A m 2 . Simultaneously, η P and η D C F C , P (i.e., the efficiency of MCDCFC at P DCFC , max * ) are 32.9% and 30.8%, respectively. P max * is approximately 5.8% higher than P DCFC , max * , and η P is about 6.8% larger than η DCFC , P . It is clearly demonstrated that abstracting the waste heat for cooling production is an effective way to further improve the MCDCFC performance. When 0 < j j C or j j M , the curves of P * ~ j and η ~ j are overlapped with that of P DCFC * ~ j and η DCFC ~ j , respectively. This is because the bottoming AR does not engage in the cooling production under these operating conditions.
It is seen from Figure 2 that an increase in j not only decreases P * but also lowers η in the range of j > j P . Combining P * and η , one may easily derive the optimum operating region for j
j C < j j P .
Accordingly, the optimum operating regions for P * and η can be, respectively, given by
P C * < P * P max *
and
η C > η η P .

4. Results and Discussion

As shown in Section 2, the performance of the proposed hybrid system depends on a set of design parameters and operating conditions. In this section, comprehensive sensitivity analyses are undertaken to study the impacts of them on the hybrid system performance using the commercial software MATLAB®. The variables used in the following analyses are given in Table 1 unless they are specified otherwise.

4.1. Effects of I r

The internal irreversibility I r = Δ S o / ( Δ S h + Δ S c ) is an important parameter that describes the irreversible effects of the mass transfer, friction, eddy and other irreversible effects inside the cyclic working substance of the AR, where Δ S o is the rate of entropy that escapes out of the cyclic working substance, Δ S h and Δ S c are rates of entropy that enter the working substance. I r dramatically affects the AR performance and thus it influences the whole hybrid system performance. In the region of j C < j < j M , it is observed from Figure 3 that both P and η are increased as I r drops, and j P moves to a larger value as I r is decreased. j C keeps invariant while both j M and Δ j increase as I r is decreased.
The solid line of Figure 3 indicates an unusual case that the internal irreversible effects within the working substance are negligible. In this context, Equations (23) and (24) may be, respectively, simplified into
P = P DCFC + q h 2 | 1 T 0 T c | { [ ( a + T 0 T c C q h ) 2 4 T c ( 1 ( 1 + B ) 2 T 1 T 0 / T C q h ) ] 0.5 [ a + T 0 T c C q h ] }
and
η = η DCFC + | 1 T 0 T c | 2 [ 1 η DCFC + 2 F ( c 1 + c 2 ) ( T T 0 ) j Δ h ] { [ ( a + T 0 T c C q h ) 2 4 T c ( 1 ( 1 + B ) 2 T 1 T 0 / T C q h ) ] 0.5 [ a + T 0 T c C q h ] }
where a 1 = 1 + ( T c B 1 2 T 0 ) / [ ( 1 + B 1 ) 2 T ] , B 1 = ( b 2 1 ) / ( 1 + b 1 ) , C 1 = ( 1 + B 1 ) 2 / ( A R K 1 ) and K 1 = K h / [ 1 + b 1 ] 2 .

4.2. Effects of Anode Thickness

The anode ohmic overpotential of the MCDCFC takes a large part in the overall overpotentials. The anode thickness dramatically affects the output voltage of the MCDCFC and thus influences the overall hybrid system performance, as shown in Figure 4. When j C < j < j M , both P * and η are monotonically decreasing functions of the anode thickness, and j C , j P , j M , Δ j and j S move to larger values as the anode thickness decreases. In practice, the anode thickness should be designed to be as small as possible.

4.3. Effects of T

The operating temperature T not only affects the thermodynamic losses within the overall system but also impacts the performances of both MCDCFC and AR. Similar to the effects of the anode thickness, the effects of T are in the whole range of j , as illustrated in Figure 5. Both P * and η are improved as T is increased. Furthermore, j C , j M , j P as well as Δ j increase as T is increased. A greater T not only improves the equilibrium potential but also lessens the activation, concentration and ohmic overpotentials, which is beneficial to improve the MCDCFC performance. On the other hand, a larger T creates a bigger temperature difference ( T T 0 ) , which not only improves the AR performance but also results in larger thermodynamic losses. Since the performance improvements in the MCDCFC and AR are larger than the performance reduction caused by the increased thermodynamic losses, and therefore, a larger T is always preferred.

4.4. Effects of c 1 and/or c 2

As shown by Equation (20), c 1 and c 2 are two temperature-independent composite constants. The thermodynamic losses not only relate to the temperature difference ( T T 0 ) but also associate with the temperature-independent parameters c 1 and c 2 . As indicated by Figure 6, both j C and j M are increased as c 1 and/or c 2 increase, while Δ j is decreased as c 1 and/or c 2 are increased. As both P DCFC * and η DCFC are not affected by c 1 or c 2 , P * and η are decreased at small operating current densities while increased at large operating current densities as c 1 and/or c 2 increase.
The solid lines in Figure 6 indicate an unusual case that both q r and q L are neglected (i.e., c 1 = 0 and c 2 = 0 ). In such a case, the AR begins to extract heat from the cooled space when the MCDCFC works, and Equations (20) and (22) can be, respectively, simplified into
q h = j A ( 1 η MCFC ) Δ h 2 F
and
j > j C = 0 .

4.5. Effects of p

The operating pressure p not only impacts the MCDCFC performance but also impacts the waste heat flowing from the MCDCFC to the AR. Similar to the effects of the operating temperature and anode thickness, the effects of p on the hybrid system performance occur in the whole region of j , as shown in Figure 7. Both P * and η are improved as p is increased. In addition, j C , j M , j P , j S and Δ j are increased with a greater p . Though a greater p is beneficial for performance enhancement, it also needs more electric power to compress the incoming air. 1 atm is the usual option, as illustrated by the solid lines in Figure 7.
From the above sensitivity analyses, the most sensitive parameter is the operating temperature, followed by the anode thickness, operating pressure, internal irreversibility of AR and lastly by thermodynamic loss related constants c 1 and c 2 .

5. Conclusions

For performance improvement, a new hybrid system primally consisting of an MCDCFC and an AR is proposed to reuse the exhaust heat from the MCDCFC for cooling production. The irreversible losses within the proposed system are mathematically described. The effective operating current density interval of the MCDCFC that enables the bottoming AR to work is derived. The mathematical expressions to assess the proposed system performance are given under various operating conditions. It is clarified that the MCDCFC performance could be effectively enhanced by integrating with an AR. The maximum attainable power density of the proposed system and its corresponding efficiency are 5.8% and 6.8% larger than that of the single MCDCFC, respectively. The generic performance characteristics are revealed and the optimum operating regions for performance parameters are given. A number of sensitivity analyses are carried out to discuss the effects of the operating current density, temperature and pressure of MCDCFC, the internal irreversibility of AR, and some thermodynamic losses related parameters on the proposed system performance. The obtained results may offer some theoretical guidance for the performance enhancement of an actual MCDCFC through reasonable heat management.
It should be noted that the performance improvement of the proposed hybrid system is not adequately obvious in comparison with the stand-alone MCDCFC. This is because a large amount of exergy destruction occurs in the cooling processes. Compared with the energetic perspective, the exergetic viewpoint provides more useful information which can directly impact the process design and performance improvement. Therefore, the exergy method will be adopted in our further works. In addition, the theoretical model in this paper is comparatively simplified., An actual experimental system needs to be built to check whether or not the modeling results are in good agreement with experimental results in future works. In addition, experimental tests are needed to check the reasonability of the model assumptions.

Author Contributions

Conceptualization, H.Z. and J.W.; Methodology, J.Z.; Investigation, F.W. and H.M.; Writing—Review & Editing, H.Z. and J.W.; and Supervision, J.Y.

Funding

This work is supported by the National Natural Science Foundation of China (Grant No. 51406091), and the K. C. Wong Magna Fund in Ningbo University.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Asif, M.; Muneer, T. Energy supply, its demand and security issues for developed and emerging economics. Renew. Sust. Energy Rev. 2007, 11, 1388–1413. [Google Scholar] [CrossRef]
  2. Jiang, C.; Ma, J.; Corre, G.; Jain, S.; Irvine, J.T.S. Challenges in developing direct carbon fuel cells. Chem. Soc. Rev. 2017, 46, 2889–2912. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Cao, D.; Sun, Y.; Wang, G. Direct carbon fuel cell: Fundamentals and recent developments. J. Power Sources 2007, 167, 250–257. [Google Scholar] [CrossRef]
  4. Bischoff, M. Molten carbonate fuel cells: A high temperature fuel cell on the edge to commercialization. J. Power Sources 2006, 160, 842–845. [Google Scholar] [CrossRef]
  5. Cai, W.; Zhou, Q.; Xie, Y.; Liu, J.; Long, G.; Cheng, S.; Liu, M. A direct carbon solid oxide fuel cell operated on a plant derived biofuel with natural catalyst. Appl. Energy 2016, 179, 1232–1241. [Google Scholar] [CrossRef]
  6. Cai, W.; Zhou, Q.; Xie, Y.; Liu, J. A facile method of preparing Fe-loaded activated carbon fuel for direct carbon solid oxide fuel cells. Fuel 2015, 159, 887–893. [Google Scholar] [CrossRef]
  7. Zhang, H.; Chen, J.; Zhang, J. Performance analysis and parametric study of a solid oxide fuel cell fueled by carbon monoxide. Int. J. Hydrog. Energy 2013, 38, 16354–16364. [Google Scholar] [CrossRef]
  8. Kacprzak, A.; Kobylechi, R.; Bis, Z. Influence of temperature and composition of NaOH-KOH and NaOH-LiOH electrolytes on the performance of a direct carbon fuel cell. J. Power Sources 2013, 239, 409–414. [Google Scholar] [CrossRef]
  9. Guo, L.; Calo, J.M.; DiCocco, E.; Bain, E.J. Development of a low temperature, molten hydroxide direct carbon fuel cell. Energy Fuels 2013, 27, 1712–1719. [Google Scholar] [CrossRef]
  10. Zhang, H.; Chen, L.; Zhang, J.; Chen, J. Performance analysis of a direct carbon fuel cell with molten carbonate electrolyte. Energy 2014, 68, 292–300. [Google Scholar] [CrossRef]
  11. Cooper, J.F.; Selman, J.R. Analysis of the carbon anode in direct carbon conversion fuel cells. Int. J. Hydrog. Energy 2012, 37, 19319–19328. [Google Scholar]
  12. Cherepy, N.J.; Krueger, R.; Fiet, K.J.; Jankowski, A.F.; Cooper, J.F. Direct conversion of carbon fuels in a molten carbonate fuel cell. J. Electrochem. Soc. 2005, 152, A80–A87. [Google Scholar] [CrossRef]
  13. Li, X.; Zhu, H.; De Marco, R.; Dicks, A.; Bradley, J.; Liu, S.; Lu, G.Q. Factors that determine the performance of carbon fuels in the direct carbon fuel cell. Ind. Eng. Chem. Res. 2008, 47, 9670–9677. [Google Scholar] [CrossRef]
  14. Glenn, M.J.; Allen, J.A.; Donne, S.W. Thermal investigation of a doped alkali-metal carbonate ternary eutectic for direct carbon fuel cell applications. Energy Fuels 2015, 29, 5423–5433. [Google Scholar] [CrossRef]
  15. Watanabe, H.; Kimura, A.; Okazaki, K. Impact of ternary carbonate composition on the morphology of the carbon/carbonate slurry and continuous power generation by direct carbon fuel cells. Energy Fuels 2016, 30, 1835–1840. [Google Scholar] [CrossRef]
  16. Bonaccorso, A.D.; Irvine, J.T.S. Development of tubular hybrid direct carbon fuel cell. Int. J. Hydrog. Energy 2012, 37, 19337–19344. [Google Scholar] [CrossRef]
  17. Hao, W.; Mi, Y. Evaluation of waste paper as a source of carbon fuel for hybrid direct carbon fuel cells. Energy 2016, 107, 122–130. [Google Scholar] [CrossRef]
  18. Elleuch, A.; Boussetta, A.; Halouani, K.; Li, Y. Experimental investigation of Direct Carbon Fuel Cell fueled by almond shell biochar: Part II. Improvement of cell stability and performance by a three-layer planar configuration. Int. J. Hydrog. Energy 2013, 38, 16605–16614. [Google Scholar] [CrossRef]
  19. Jiang, C.; Ma, J.; Arenillas, A.; Bonaccorso, A.D.; Irvine, J.T.S. Comparative study of durability of hybrid direct carbon fuel cells with anthracite coal and bituminous coal. Int. J. Hydrog. Energy 2016, 41, 18797–18806. [Google Scholar] [CrossRef] [Green Version]
  20. Giddey, S.; Badwal, S.P.S.; Kulkarni, A.; Munnings, C. A comprehensive review of direct carbon fuel cell technology. Prog. Energy Comb. Sci. 2012, 38, 360–399. [Google Scholar] [CrossRef]
  21. Steinberg, M. Conversion of fossil and biomass fuels to electric power and transportation fuels by high efficiency integrating plasma fuel cell (IPFC) energy cycle. Int. J. Hydrog. Energy 2006, 31, 405–411. [Google Scholar] [CrossRef]
  22. Zhao, M.; Zhang, H.; Hu, Z.; Zhang, Z.; Zhang, J. Performance characteristics of a direct carbon fuel cell/thermoelectric generator hybrid system. Energy Convers. Manag. 2015, 89, 683–689. [Google Scholar] [CrossRef]
  23. Liu, Q.; Tian, Y.; Li, H.; Jia, L.; Xia, C.; Thompson, L.T.; Li, Y. High efficiency chemical energy conversion system based on a methane catalytic decomposition reaction and two fuel cells: Part I. Process modeling and validation. J. Power Sources 2010, 195, 6539–6548. [Google Scholar] [CrossRef]
  24. Liu, Q.; Tian, Y.; Li, H.; Jia, L.; Xia, C.; Thompson, L.T.; Li, Y. High efficiency chemical energy conversion system based on a methane catalytic decomposition reaction and two fuel cells: Part II. Exergy analysis. J. Power Sources 2010, 195, 6532–6538. [Google Scholar] [CrossRef]
  25. Chen, L.; Zhang, H.; Gao, S. An available method utilizing the waste heat in a direct carbon fuel cell. Int. J. Electrochem. Sci. 2014, 9, 5788–5802. [Google Scholar]
  26. Srikhirin, P.; Aphornratana, S.; Chungpaibulpatana, S. A review of absorption refrigeration technologies. Renew. Sust. Energy Rev. 2001, 5, 343–373. [Google Scholar] [CrossRef]
  27. Ngouateu Wouagfack, P.A.; Tchinda, R. Optimal performance of an absorption refrigerator based on maximum ECOP. Int. J. Refrig. 2014, 40, 404–415. [Google Scholar] [CrossRef]
  28. Kim, Y.J.; Gonzalez, M. Exergy analysis of an ionic-liquid absorption refrigeration system utilizing waste-heat from datacenters. Int. J. Refrig. 2014, 48, 26–37. [Google Scholar] [CrossRef]
  29. Medjo Nouadje, B.A.; Ngouateu Wouagfack, P.A.; Tchinda, R. Finite-time thermodynamic optimization of an irreversible parallel flow double-effect absorption refrigerator. Int. J. Refrig. 2016, 67, 433–444. [Google Scholar] [CrossRef]
  30. Silveira, J.L.; Leal, E.M.; Ragonha, L.F., Jr. Analysis of a molten carbonate fuel cell: Cogeneration to produce electricity and cold water. Energy 2001, 26, 891–904. [Google Scholar] [CrossRef]
  31. Yang, P.; Zhang, H. Parametric analysis of an irreversible proton exchange membrane fuel cell/absorption refrigerator hybrid system. Energy 2015, 85, 458–467. [Google Scholar] [CrossRef]
  32. Zhao, M.; Zhao, H.; Wu, M.; Zhang, H.; Hu, Z.; Zhao, Z. Thermodynamic Analysis of a Hybrid System Integrating an Alkaline Fuel Cell with an Irreversible Absorption Refrigerator. Int. J. Electrochem. Sci. 2015, 10, 10045–10060. [Google Scholar]
  33. Yang, P.; Zhang, H.; Hu, Z. Parametric study of a hybrid system integrating a phosphoric acid fuel cell with an absorption refrigerator for cooling purposes. Int. J. Hydrog. Energy 2016, 41, 3579–3590. [Google Scholar] [CrossRef]
  34. Elleuch, A.; Boussetta, A.; Halouani, K. Analytical modeling of electrochemical mechanisms in CO2 and CO/CO2 producing direct carbon fuel cell. J. Electroanal. Chem. 2012, 668, 99–106. [Google Scholar] [CrossRef]
  35. Prins-Jansen, J.A.; Hemmes, K.; De Wit, J.H.W. An extensive treatment of the agglomerate model for porous electrodes in molten carbonate fuel cells-I. Qualitative analysis of the steady-state model. Electrochim. Acta 1997, 42, 3585–3600. [Google Scholar] [CrossRef]
  36. Liu, Q.; Tian, Y.; Xia, C.; Thompson, L.T.; Liang, B.; Li, Y. Modeling and simulation of a single direct carbon fuel cell. J. Power Sources 2008, 185, 1022–1029. [Google Scholar] [CrossRef]
  37. Arato, E.; Bosio, B.; Costa, P.; Parodi, F. Preliminary experimental and theoretical analysis of limit performance of molten carbonate fuel cell. J. Power Sources 2001, 102, 74–81. [Google Scholar] [CrossRef]
  38. Ngouateu Wouagfack, P.A.; Tchinda, R. Performance optimization of three-heat-source irreversible refrigerators based on a new thermo-ecological criterion. Int. J. Refrig. 2011, 34, 1008–1015. [Google Scholar] [CrossRef]
  39. Lin, G.; Yan, Z. The optimal performance of an irreversible absorption refrigerator. J. Phys. D Appl. Phys. 1997, 2006–2011. [Google Scholar] [CrossRef]
  40. Lin, G.; Yan, Z. The optimal operating temperature of the collector of an irreversible solar-driven refrigerator. J. Phys. D Appl. Phys. 1999, 32, 94–98. [Google Scholar] [CrossRef]
  41. Qin, X.; Chen, L.; Ge, Y.; Sun, F. Finite time thermodynamic studies on absorption thermodynamic cycles: A state-of-the-art review. Arab J. Sci. Eng. 2013, 38, 405–419. [Google Scholar] [CrossRef]
  42. Chen, X.; Wang, Y.; Zhao, Y.; Zhou, Y. A study of double functions and load matching of a phosphoric acid fuel cell/heat-driven refrigerator hybrid system. Energy 2016, 101, 359–365. [Google Scholar] [CrossRef]
  43. Wu, S.; Zhang, H.; Ni, M. Performance assessment of a hybrid system integrating a molten carbonate fuel cell and a thermoelectric generator. Energy 2016, 112, 520–527. [Google Scholar] [CrossRef]
  44. Ahmadi, M.H.; Ahmadi, M.A. Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII. Renew. Sust. Energy Rev. 2016, 60, 784–794. [Google Scholar] [CrossRef]
Figure 1. Schematic diagram of an MCDCFC/AR hybrid system.
Figure 1. Schematic diagram of an MCDCFC/AR hybrid system.
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Figure 2. Curves of (a) power densities and (b) efficiencies of the MCDCFC, absorption refrigerator, and hybrid system varying with the operating current density of the MCDCFC.
Figure 2. Curves of (a) power densities and (b) efficiencies of the MCDCFC, absorption refrigerator, and hybrid system varying with the operating current density of the MCDCFC.
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Figure 3. Effects of the internal irreversibility I r on the hybrid system performance.
Figure 3. Effects of the internal irreversibility I r on the hybrid system performance.
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Figure 4. Effects of anode thickness on the hybrid system performance.
Figure 4. Effects of anode thickness on the hybrid system performance.
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Figure 5. Effects of operating temperature T on the hybrid system performance.
Figure 5. Effects of operating temperature T on the hybrid system performance.
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Figure 6. Effects of the thermodynamic losses related parameters c 1 and c 2 on the hybrid system performance.
Figure 6. Effects of the thermodynamic losses related parameters c 1 and c 2 on the hybrid system performance.
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Figure 7. Effects of operating pressure p on the hybrid system performance.
Figure 7. Effects of operating pressure p on the hybrid system performance.
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Table 1. Parameters used in the modeling [10,34,36,44].
Table 1. Parameters used in the modeling [10,34,36,44].
ParameterValue
Ideal gas constant, R (J mol−1 K−1)8.314
Operating pressure, p (atm)1.0
Faraday constant, F (C mol−1)96,485
Number of electrons involved per reaction, ne4
Height of packed bed anode, H (m)5.0 × 10−4
Diameter of spherical graphite particle, Dc (m)1.0 × 10−5 [10]
Polar plate area of the MCDCFC, A (m2)0.04
Cathode exchange current density, j 0 , c a t 0 (A m−2)5.0 × 102 [10]
Pre-exponential factor of the backward reaction, KB (A m−2)5.8 × 109 [34]
Mass transport coefficient of CO2, K CO 2 (m s−1)3.5 × 10−2 [10]
Temperature activation of the backward reaction, EB (K−1)22,175 [34]
Constant, r1−1.250 [10,36]
Constant, r20.375 [10]
Temperature of environment, T 0 (K)303
Operating temperature, T (K)923
Internal irreversibility of AR, I r 1.1
Temperature of cooled space, T c (K)290
HTC of the generator, K h (W K−1 m−2)1163 [44]
HTA of AR, A R (m2)5.0 × 10−4
Constant, c 1 (W K−1 m−2)5.0 × 10−2
Constant, c 2 (W K−1 m−2)5.0 × 10−2
Constant, b 1 1.0
Constant, b 2 1.0

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MDPI and ACS Style

Zhang, H.; Wang, J.; Zhao, J.; Wang, F.; Miao, H.; Yuan, J. Performance Analysis of a Hybrid System Consisting of a Molten Carbonate Direct Carbon Fuel Cell and an Absorption Refrigerator. Energies 2019, 12, 357. https://doi.org/10.3390/en12030357

AMA Style

Zhang H, Wang J, Zhao J, Wang F, Miao H, Yuan J. Performance Analysis of a Hybrid System Consisting of a Molten Carbonate Direct Carbon Fuel Cell and an Absorption Refrigerator. Energies. 2019; 12(3):357. https://doi.org/10.3390/en12030357

Chicago/Turabian Style

Zhang, Houcheng, Jiatang Wang, Jiapei Zhao, Fu Wang, He Miao, and Jinliang Yuan. 2019. "Performance Analysis of a Hybrid System Consisting of a Molten Carbonate Direct Carbon Fuel Cell and an Absorption Refrigerator" Energies 12, no. 3: 357. https://doi.org/10.3390/en12030357

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