Research Article | Open Access
I. D. Gimba, A. S. Abdulkareem, A. Jimoh, A. S. Afolabi, "Theoretical Energy and Exergy Analyses of Proton Exchange Membrane Fuel Cell by Computer Simulation", Journal of Applied Chemistry, vol. 2016, Article ID 2684919, 15 pages, 2016. https://doi.org/10.1155/2016/2684919
Theoretical Energy and Exergy Analyses of Proton Exchange Membrane Fuel Cell by Computer Simulation
A mathematical model of a proton exchange membrane fuel cell (PEMFC) was developed to investigate the effects of operating parameters such as temperature, anode and cathode pressures, reactants flow rates, membrane thickness, and humidity on the performance of the modelled fuel cell. The developed model consisted of electrochemical, heat energy and exergy components which were later simulated using a computer programme. The simulated model for the voltage output of the cell showed good conformity to the experimental results sourced from the literature and revealed that the operating pressure, temperature, and flow rate of the reactants positively affect the performance and efficiencies (energy and exergy) of the cell. The results also indicated that high membrane thickness above 150 μm is unfavourable to both the fuel cell performance and the cell energy and exergy efficiencies. The simulated results obtained on the influence of membrane humidity on the cell performance indicated that membrane humidity positively favours both the performance and energy and exergy efficiencies of the cell. It can therefore be inferred that the performance of the PEMFC and energy and exergy efficiencies of the cell are greatly influenced by the operating pressure, temperature, membrane thickness, membrane humidity, and the flow rates of fuel and oxidant.
Over the years, the world has been greatly dependent on virtually only one energy source known as fossil fuel which is nonbiodegradable and quite limited for its domestic and industrial utilization. This condition led to disparity in world’s fossil fuel production and demand, which resulted in energy crisis due to scarcity in supply and price fluctuation [1, 2]. The price instability and environmental pollution of fossil fuel are some of the major problems derived from over dependence on this source of energy. It is widely documented that the combustion of fossil fuel is harmful to human health as well as the environment and this resulted in increase in campaign for cleaner energy source in order to safeguard the environment and protect man from the inhalation of toxic substances . For instance, it is a known fact that the exhaust from the combustion of fossil fuel emits harmful gases such as CO2, CO, and SO2 into the atmosphere [1, 4]. These gases constitute severe health and environmental hazard and, hence, create a serious global environmental problem . The concern for the price instability due to excessive reliance on fossil fuel and increasing awareness on the environmental impact of burning fossil fuel has led to increased calls for alternative energy sources that can compete well with the existing sources of energy [6, 7]. Fuel cells which are described as electrochemical devices that convert the energy of a chemical reaction directly into electricity, with water as its by-product, are now considered promising, economical, and sustainable alternative energy source [8–10].
Fuel cells produce little or no pollutants depending on the type of fuel used . They also have an advantage that makes them better than some industrial combustion which is their ability to capture excess heat generated and use it in a cogeneration-like manner or for space/water heating [12, 13]. Other major advantages that fuel cells hold over internal combustion engines include the high efficiency of operation and lack of harmful pollutant emission. Despite researchers and government accorded recognition to fuel cells particularly the proton exchange membrane fuel cell (PEMFC) as the environmentally friendly alternative energy source that can compete well with the existing energy sources, the high cost of its allied parts and monopoly of the technology have hindered the commercial availability of fuel cells as alternative energy sources [14–16]. In the past few years, good progress has been made to achieve the commercialization of this alternative energy source by reducing the cost of the cell components which are made of the electrode, flow field plate, and membrane . However, lack of understanding of the influence of various parameters on the rate of production of energy by the fuel cell system remains a serious issue which is the focus of this present study. On this note, the first and second laws of thermodynamics have been recognised as major tools for measuring the energy and exergy of the fuel cell technologies .
The first law of thermodynamics (energy analysis) deals with the quantity of energy and states that energy can neither be created nor destroyed. The law merely serves as a necessary tool for accounting for the energy during a process and offers no challenges to engineers. The second law (exergy analysis), however, deals with the quality of energy, degradation of this energy during a process, entropy generation, and lost opportunities to do work and offers plenty of room for improvement. The second law of thermodynamics has been proven to be a powerful tool in the optimization of complex thermodynamic systems [19–21]. In recent times, exergy analysis has become a key aspect in providing a better understanding for the analysis of power system processes, the quantification of sources of inefficiencies, and distinguishing quality of energy (or heat) used [22–24].
The aim of this study is therefore to develop a predictive mathematical model to determine the quantity of energy that can be produced by fuel cells as a function of operating parameters. Simulation of the developed model is expected to provide information on the interaction of various parameters that affect the performance of proton exchange membrane fuel cell.
2. Conceptualization of the Modelling Technique
This study is focused on the theoretical mathematical model that can be used to quantify the performance of a fuel cell as a function of operating parameters. The mathematical model will consist of electrochemical, heat energy and exergy analysis components. The following assumptions were made in developing the predictive model:(i)There is incomplete utilization of the fuel and oxidant gases during the reaction process.(ii)The voltage losses encountered are activation polarization, ohmic polarization, and concentration polarization.(iii)The enthalpy calculations are based on standard temperature.(iv)The heat losses in the system are by natural convection, forced convection, and radiation.
Equations (1)–(3) represent the reactions taking place in a typical PEMFC system :The actual (or net) output voltage of the PEMFC, as a function of current, temperature, partial pressure of reactant, and membrane humidity can be expressed as follows:where is the thermodynamic equilibrium potential or open circuit voltage and , , and are activation, ohmic, and concentration overvoltages, respectively. Other names for overvoltages are polarization or losses, and they represent voltage drop.
The reversible cell voltage or thermodynamic potential is the maximum voltage attained from a fuel cell at thermodynamic equilibrium which can be obtained by applying the Nernst equation as shown as follows:where is the standard state reference potential (298.15 K and 1 atm) at unit activity, , , and are partial pressures of hydrogen, oxygen, and water, respectively, is the universal gas constant (8.314 J/mole K), is the cell operating temperature (K), is the Faraday constant (96,485 C/mole), and represents the number of moles of electrons transferred, having a value of 2.
Equation (4) shows that part of the voltage is lost in driving the chemical reaction at the electrodes. This lost voltage is known as activation overvoltage () which occurs at both the anode and cathode. Activation overvoltage is however more predominant at cathode since the hydrogen oxidation is faster than oxygen reduction. A parametric equation for representing activation overvoltage as proposed by Uma  is shown in the following equation:The values of the parametric coefficients , , , and are determined using linear regression analysis . These values arewhere and are concentrations of hydrogen and oxygen, respectively, at the reaction sites, while is the active cell area.
The concentrations of hydrogen and oxygen at the electrode-membrane interface can be determined from Henry’s law equation  of the forms expressed in the following two equations: Substituting the values of the parametric coefficients into (6), we obtain the expression in the following equation:The voltage loss as a result of resistance to the flow of electrons through the electrodes and various interconnections and resistance to the flow of ions through the electrolyte is known as ohmic overvoltage () which can be expressed as follows:It has been reported that the resistance to flow of ions () is predominant; hence, its contribution to ohmic overvoltage is more significant than the resistance to the flow of electrons () . The ionic resistance is a function of the membrane water content which in turn is a function of temperature and current. Hence, the ionic resistance can be expressed as follows :where is the membrane resistivity, is the membrane thickness, and is the active cell area. The membrane resistivity in (12) was correlated by Rezazadeh et al.  as shown in the following equation:Substituting the expression in (13) into (12), we obtain the following: Substituting (14) into (11), we also obtain expression as follows: The concentration overvoltage () is another factor that can also affect the performance of the fuel cell. As reactant is consumed at the electrode by electrochemical reaction, there is a loss of potential due to the inability of the surrounding material to maintain the initial concentration of the bulk fluid (formation of concentration gradient) . Several processes that may contribute to concentration polarization include slow diffusion in the gas phase in the electrode pores, solution/dissolution of reactants/products into/out of the electrolyte, or diffusion of reactants/products through the electrolyte to/from the electrochemical reaction site . Concentration overvoltage (or polarization) is also called mass transportation losses. However, at practical current densities, slow transport of reactants/products to/from the electrochemical reaction site is a major contributor to concentration polarization. Concentration overpotential can be expressed as follows:where is a parametric coefficient and represents the actual current density of the cell (A/cm2). Substituting (5), (10), (15), and (16) into (4) gives a generalized equation for voltage output of the cell, , as follows:Equation (17) is the predictive model expression for the voltage output from PEMFC as a function of the operating parameters for a single fuel cell.
The actual efficiency of the fuel cell can be obtained from the expression shown as follows:where is the actual voltage having a value of about 1.23 V, and is determined from (17).
In practice, not all the reactants going into the system react completely as some fractions of the fuel pass through the cell without taking part in energy production process; hence, fuel utilization term is introduced in calculating the proton exchange membrane fuel cell efficiency .
2.1. Mass Balance for the PEMFC
As a requisite to carrying out energy balance for the PEM fuel cell, material balance becomes necessary. The mass balance was performed based on the inflow and outflow of the reactants (H2 and O2) into and out of the fuel cell system as shown in Figure 1.
Considering the fact that not all reactants that entered the fuel cell were utilized, the component material balance for hydrogen and oxygen can be written as follows:where and are the mass flow rates of hydrogen and oxygen entering the PEM fuel cell, respectively. In addition, and are the mass flow rates of hydrogen and oxygen from PEM fuel cell, respectively. They represent hydrogen purged out of the fuel cell and the unreacted oxygen, respectively. The mass balance of the reactants (O2 and H2) requires the essential electrochemistry principles to calculate the hydrogen and oxygen consumption rates, and , and the water production, , as functions of current density (A/cm2) and Faraday’s constant .
Hydrogen reacts on the anode side; thus the consumption rate of hydrogen is given aswhere stands for the anode stoichiometry, is the molecular weight of hydrogen, is the current density, is the effective area of the cell, and is Faraday’s constant. Similarly, the consumption rate of oxygen can be calculated from the following equation :where represents the cathode stoichiometry and is the molecular weight of oxygen.
Assuming water produced from the fuel cell to be liquid, water production rate can be expressed as follows:where represents the molecular weight of water.
Hydrogen and oxygen which leave the system unutilized, and , respectively, will be determined from (21) and (22) as follows:Substituting for gives Similarly,Larminie and Dicks  give alternate equations for calculating the inlet mass flow rates of hydrogen and oxygen as shown in the following equations: Similarly, mass flow rates of unused oxygen and product water are given in expression in the following equations: where is the stoichiometry of oxygen.
2.2. Energy Analysis for the PEMFC
The conservation law of energy which is the first law of thermodynamics is used to analyze the energy model of the proton exchange membrane fuel cell. The energy balance around a fuel cell is based on the energy absorbing/releasing processes (power produced, reactions, and heat loss) that occur in the cell. As a result, the energy balance varies for the different types of cells because of the differences in reactions that occur according to the cell types.
The cell energy balance states that the enthalpy flow of reactants entering the cell will be equal to the enthalpy flow of the products leaving the cell plus the sum of three terms, namely, (i) the net heat generated by physical and chemical processes within the cell, (ii) the dc power output from the cell, and (iii) the rate of heat loss from the cell to its surroundings. The energy balance according to the heat flow into and out of the cell as shown in Figure 2 can be represented mathematically as follows:where and are the total heat input and output, respectively, and is the heat accumulation which is the net heat generated by physical and chemical processes within the cell.
By replacing in (34) with and rearranging, we obtain the following expression: From the schematic shown in Figure 2, the total heat input into the system iswhere and are the heats from the reactant feeds. Similarly, the total heat output from the system is as shown as follows:From (37), and are the heats from the unreacted hydrogen and oxygen, respectively, is the heat from water produced, is the heat of reaction from cathode and anode electrochemical reaction, is the heat loss to the surroundings, and is the electrical energy () generated.
The heat generated by the fuel cell system is transferred through the stack by conduction, which then dissipates into the surroundings using natural convection, forced convection, and radiation . Hence, the three heat transfer mechanisms play important roles to transfer the heat from the fuel cell stack to the ambient. In addition, some heat is carried away from the fuel cell stack by the product gases and water. Heat lost termed from the fuel cell can be represented as follows:where , , and are heat losses via natural convection, forced convection, and radiation, respectively. The expressions for , , , and can be obtained by considering a fuel cell slab of solid material of area located between two large parallel plates at distance apart; the rate of heat flow by conduction per unit area is given by Fourier expression as follows :That is, the rate of heat flow per unit area is proportional to the temperature decrease over the distance . The constant of proportionality is the thermal conductivity of the slab. is given as , where and are the initial temperature and the temperature at a steady-state condition of heat flow across the slab.
and are calculated separately from (40) and (41), respectively:Air is used as coolant in fuel cells; is the natural convective heat transfer coefficient; is the total heat transfer area of the fuel cell; it can be estimated from the dimensions of the fuel cell system. is the ambient temperature which is assumed to be the dead state temperature of 298 K.
For nonblack surfaces at temperature , the emitted energy flux is given by Stefan-Boltzmann law  aswhere is the absolute temperature and is the total heat surface area of the fuel cell system. The Stefan-Boltzmann constant has been found to have the value of W/m2 K4, and is the emissivity having standard values for various materials.
Substituting (36) to (38) and (40) to (42) into (35) will yieldEquation (43) can be rewritten in terms of enthalpies to yield the following equation:where , , and are the enthalpies of oxygen, hydrogen, and water, respectively, and is the enthalpy of reaction.
The electrical energy dissipated is related to the net output voltage bywhere is the current and is the duration of operation. Equation (44) can be rearranged to obtainThe enthalpy of reaction term, , in the energy balance equation is computed as follows : Upon integration of (47), becomeswhere .
For the PEMFC, where , 2 moles of H2 and 1 mole of O2 give 2 moles of H2O:And also from the reaction stoichiometry,Therefore, the energy efficiency of the PEMFC system isHigher heating value of a fuel (HHV) is the negative value of the standard heat of combustion when water in the combustion products is in form of a liquid . Here, is the higher heating value of hydrogen, is the net power production of the fuel cell system, and is the mass flow rate of hydrogen to the PEMFC.
2.3. Exergy Analysis
The flow exergy of a substance refers to the theoretically obtainable work when that substance is brought to total equilibrium with the local environment. It can be divided into thermomechanical and chemical flow exergies . Hence, the total exergy rate can be written asThe thermomechanical exergy is also known as physical exergy, and it represents the deviation in temperature and pressure between the flowing matter and the ambient. It also includes the kinetic and potential exergies. However, the chemical exergy represents the deviation in chemical composition between the flowing matter and the local environment. Therefore, (52) becomesAmir et al.  also give the specific total exergy (J/kg) as the sum of kinetic exergy, potential exergy, thermomechanical exergy, and chemical exergy aswhere , is the total exergy rate (J/hr), and represents the mass flow rate (kg/hr). Therefore, (54) becomesThe specific kinetic exergy term, , is expressed aswhere is the velocity relative to the earth surface (m/s); and the specific potential exergy term, , is given by where is the earth gravity (m/s2) and is the stream altitude above the sea level (m).
The thermomechanical exergy shown in (54) can be simplified as a function of fuel cell operating temperature and pressure  aswhere and represent the specific enthalpy (J/kg) and entropy (J/kg·K) at standard conditions, respectively; and are changes in enthalpy and entropy, respectively.
Meanwhile, Masanori and Abdelaziz  expressed the specific molar chemical exergy of component present in the environment at partial pressure aswhere is the environmental pressure (usually taken as 1 atm) and is the partial pressure of the reference component and is the ideal gas constant.
Hence, substituting (56) to (59) into (54) yields an expression for the specific total exergy; thus,The specific thermomechanical exergy term of (58) can be evaluated further as a function of fuel cell operating condition:Based on ideal gas assumption, , so thatwhere is the universal gas constant; substituting (63) into (62) givesIntegrating (63) yieldsSpecific heats at constant pressure, , and at constant volume, , are related to as  Substituting for in (65),Rearrange (67) to obtain can be expressed in terms of the specific heat ratio, ; thus,Hence, (68) becomesSubstituting (61) and (70) into (58) gives an expression for the specific thermomechanical (physical) exergy asSimplifying (71) further yieldsBy substituting (72) into (60) we obtain the total specific exergy:Hence, substituting (73) into (55) gives the overall total exergy rate equation that can be used for calculating the exergy of each component in the model equation:From a thermodynamics point of view, the exergetic efficiency, which is known as second law efficiency, gives the true value of the performance of an energy system . Exergy is defined as the maximum amount of work obtainable from a system or a flow of matter when it is brought to equilibrium with the reference environment . The exergy consumption during a process is proportional to the entropy production due to irreversibilities. It is a useful tool for furthering the goal of more efficient energy use, as it enables the determination of the location, type, and true magnitude of energy wastes and losses in a system.
For a PEM fuel cell system, the exergetic efficiency is defined aswhere , , , and are the total exergies of the reactants, oxygen, and fuel (hydrogen), and the products oxygen and water, respectively. The net electrical power output produced by the cell is given as where is the fuel cell output voltage and is the current.
The computer simulation of the model developed for theoretical energy and exergy analyses of the proton exchange membrane fuel cell is achieved using computer codes to demonstrate the performance and behaviour of the system by varying the operating parameters.
3. Results and Discussion
Fuel cell which can be described as a self-contained energy generation device is a reliable alternative energy for residential and industrial applications. However, despite the wide acceptance of this device as an alternative energy source that can compete favourably with the existing energy sources, the technology is yet to be commercially available. One major reason for nonavailability of fuel cells at commercial scale can be attributed to lack of understanding of the interaction between the various parameters that influence the performance of these cells. A better understanding of fuel cell technology can be achieved through predictive mathematical model, which is the focus of this study. The simulated results obtained on the influence of various parameters on the voltage output and energy and exergy of proton exchange membrane fuel cell are presented in Figures 3–15. Figure 3 represents the simulated performance of PEMFC at operating conditions of 1 atmosphere for the cathode and anode, operating temperature of 343 K, and membrane thickness of 178 μm.
The results presented in Figure 3 indicate that operating single stack of proton exchange membrane fuel cell at operating conditions of 1 atmosphere, 343 K, and membrane thickness of 178 μm will produce a maximum voltage (open circuit voltage) of 1.019 V. At a current density of 0.05 A/cm2, there is a sudden reduction in voltage to 0.896 V after which the cell output voltage decreased gradually with increase in current density. The sudden drop in voltage as the current density increases from 0 to 0.05 A/cm2 can be attributed to activation losses known as overpotentials in the cell . The literature result is used to validate the results obtained from numerical simulations. The computed polarization curve is compared with the literature results of previous study by Abdulkareem  and the value of the correlation coefficient for both sets of data was calculated as 0.98033, which shows that the calculated results are in good agreement with the experimental data. The variation between the simulation and experimental results could be attributed to the fact that the simulation result is an instantaneous value which measures the possible cell voltage at a given time, while the experimental results will take some time to stabilize before producing voltage. The variation can also be attributed to some assumptions made during the conceptualization of the model. For instance, the reaction in the fuel cell is incomplete and the extent of electrochemical reaction that produced the voltage is varied for the simulated and experimental results. It can be observed that despite the little variation between the simulated and experimental results, their polarization curves are still very similar. The model developed was further simulated to investigate the influence of operating parameters on the performance of the proton exchange membrane fuel cell fueled with hydrogen.
Aside from the inherent qualities of proton exchange membrane fuel cell, which depend on materials and manufacturing conditions, the operating conditions also affect its performance to a large extent because they can alter the shape and position of the polarization curve . After validation of the simulated results with the literature values, the PEMFC model is subjected to different values of input variables in order to study their effect on the V-I characteristics, the output voltage of the PEMFC, and polarization losses. The base-case operating conditions of the system temperature, anode and cathode pressures, and membrane thickness are 343 K, 1 atm, and 178 μm, respectively. Figure 4 presents the temperature dependent V-I characteristics of the PEMFC at operating anode and cathode pressure of 1 atm. It has been proven that temperature has a more significant influence on the performance of the PEMFC than other operation variables .
From the simulated results presented in Figure 4 showing series of polarization curves at different operating temperatures, it can be seen that, with the increase in temperature from 333 to 400 K, the PEMFC performance also increases and so does the power density. For instance, at current density of 0.2 A/cm2, the cell voltage output is 0.788 V at 333 K which increases to 0.884 V at 400 K. It thus implies that, for higher temperature values, the overpotentials (activation, ohmic, and concentration losses) in the PEMFC are reduced and hence the cell can operate with a higher performance . The shift of the PEMFC polarization curves also indicates the improvement of electrical efficiency as temperature increases. This is due to the improvement in some parameters such as the exchange current density of the oxygen reduction reaction, membrane conductivity, reversible thermodynamic potential , and binary diffusivities . Also, the rise of the temperature increases proton mobility in the membrane and improves catalyst activity and gas diffusion . With limitations to marginal improvement of the voltage at higher temperatures which result from membrane dryness and increased internal resistance, a much higher temperature is therefore beneficial for the PEMFC to improve electrical performance . However, in reality, increasing the operating temperature beyond a certain limit will negatively affect the performance of fuel cell depending on the nature of the membrane. For instance, it has been reported that thermal stability of Nafion (120–150°C) is a major drawback for proton exchange membrane fuel cell development. Emphasis is now placed on the development of alternative membrane with high thermal stability for the purpose of improving the fuel cell performance which is indicated by the simulated model.
Also investigated through the simulation of the developed model is the influence of anode and cathode pressure on the proton exchange membrane fuel cell performance at constant operating temperature of 343 K. The operating pressures of anode and cathode sites also play important role in the performance of fuel cells. Figures 5 and 6 show the simulated results obtained on the influence of anode and cathode pressure, respectively, at 343 K cell operating temperature.
From Figures 5 and 6, it can be observed that increase in pressure of anode and cathode resulted in an increase in the output voltage of the fuel cell. The results also indicate that, at current density of 0.2 A/cm2, the voltage output of the cell is 0.803 V at cathode pressure of 1 atm, whereas, at the same current density but with the cathode operating pressure at 50 atm, the voltage output is 0.934 V. A closer observation of Figures 5 and 6 reveals that though the cell performance increased monotonously in both cases, the cathode pressure is more sensitive than anode pressure. For instance, at current density of 0.4 A/cm2 and operating pressure of 50 atm, the cell output at the cathode is 0.885 V, with the equivalent value of 0.87 V at the anode. The variation in the output voltage of the cell at the same operating pressure of the anode and cathode can be attributed to the fact that the electrochemical reaction that generates power in the cell takes place at the cathode . Though the simulated results reveal that increase in pressure favours the performance of fuel cells, care must be taken not to exceed the limiting operating pressure of the stack.
Figures 7 and 8 present the simulated results on the influence of hydrogen and oxygen flow rates on the performance of proton exchange membrane fuel cell. As can be seen in these figures, more hydrogen and oxygen are consumed by the fuel cell system with increase in current density. The consumption of more fuel reduces the concentrations of hydrogen and oxygen at various points in the PEM fuel cell gas channels and increases the concentrations of these reactants at the input of the stack. The results also show that voltage output of the cell behaved contrary to the behaviour of hydrogen and oxygen flow rates with current density. Since less pressure produced less voltage, it can thus be inferred from this relationship between voltage and flow rates that more hydrogen and oxygen consumptions by fuel cell system lead to lower pressure , resulting in decreased output voltage. The reduction in output voltage at high flow rate can be attributed to concentration loss which is due to the change in concentration of reactants at the surface of the electrodes as the fuel is used causing reduction in the partial pressure of reactants, resulting in reduction in voltage .
Another factor that can affect the performance of fuel cell is the membrane thickness, proton exchange membrane functions as an ionic conductor between the anode and cathode, a barrier for passage of electron, and gas cross leakage between electrodes . The simulated results on the influence of membrane thickness on performance of the proton exchange membrane fuel are presented in Figure 9. The result presented is simulated at operating temperature of 343 K, operating pressure of 1 atm, and current density of 0.2 A/cm2. It can be observed from the results in Figure 9 that membrane thickness affects the performance of the PEMFC. It can also be seen from the results that, with the membrane thickness in the range of 50 to 150 μm, the output voltage followed a continuous reduction pattern. This shows that, for larger values of membrane thickness, the voltage decreases with increasing membrane thickness and hence reductions in PEMFC performance. This is because ohmic loss increases with increase in membrane thickness. This loss occurs due to the electrical resistance of the electrodes and the resistance to the flow of ions in the electrolyte. Because it represents the resistance to the transfer of protons through the membrane , greater membrane thicknesses will favour ohmic loss which results in decrease in output voltage.
Also affecting the performance of proton exchange membrane fuel cell is the membrane humidity. For effective performance of the proton exchange membrane fuel cell, there is a need to properly control the membrane humidity, because lack of proper management of membrane humidity could lead to voltage degradation and reduction in the fuel cell durability . Figure 10 shows the simulated effect of membrane humidity on the cell performance.
Though there is no term for direct representation of membrane humidity in the developed model of PEMFC in this study, the term is considered as an adjustable parameter which depends on membrane humidity and stoichiometric ratio of anode feed gas having value between 10 and 23%. Thus, its value was varied between 10 and 23% (10, 12, 14, 16, 18, 20, 22, and 23%) in order to study its effect on cell voltage. It can be seen that the output voltage increased with increase in . This predicts that membrane humidity has influences on the performance of the PEMFC. It has been reported that water uptake affects the ionic conductivity of membrane; in fact it was reported that when the water uptake by the membrane is too low, the ionic conductivity of the membrane will be low and this will enhance the methanol permeability [1, 10]. However, high water uptake though improves the ionic conductivity of the membrane but with high possibility of loss of dimensional stability of the membrane. It is also worth mentioning that fuel cells as a device for energy conversion convert chemical energy to electrical energy with heat and water as the only by-product. Hence, in addition to humidification of the membrane, the device also generates water and hence the need to regulate the process of humidification of the membrane. Attempts were also made in this study to extend the humidity beyond 23%; the output obtained was negative indicating that at higher humidity the ionic conductivity of the membrane is negatively affected.
3.1. Analyses of Energy and Exergy Efficiencies
The processes that involve heat are highly inefficient from the point of view of the second law analysis. This is because the exergy value of heat is often much lower than its energy value, particularly at temperatures close to ambient temperature. The exergy analysis provides information on how effective a process takes place towards conserving natural resources . This makes it possible to identify areas in which technical and other improvements could be undertaken. It also indicates the priorities that could be assigned to conservation procedures. Cognizance of exergy utilization of energy sources would help advance technological development towards resource-saving and efficient technology can be achieved by improving design of processes with high exergetic efficiency. Further, application of exergy analysis in design and development of sustainable processes provides information for long-term planning of resource management.
The efficiency of a system can be defined in various ways. Conventionally, it is based upon the maximum energy obtainable from a fuel by burning it, called the heating or calorific value. For a fuel cell, the energy available is called the Gibbs energy and represents the maximum amount of electricity that can be gained from the cell. The Gibbs energy is smaller than the calorific value. Fuel cell efficiencies related to Gibbs energies are nearly always 100%. Thus, efficiency is normally defined as the electrical energy extracted divided by the calorific value of the fuel. This enables fuel cells to be compared directly to combustion-based processes but places an upper limit on fuel cell efficiencies due to the chemical properties of the fuel. A hydrogen fuel cell operating at 25°C, for instance, has a maximum theoretical efficiency of 83% , even when the fuel cell is extracting all the electrical energy possible. This compares to a maximum theoretical efficiency in a combustion engine at 500°C of 58%. Figure 11 shows the efficiency variation of the PEMFC with current density.
Figure 11 indicates that the fuel cell efficiency increased with increase in current density until a maximum of 75% was attained. The maximum fuel cell efficiencies typically range from 60 to 80%. After the maximum efficiency of 75%, a gradual decrease is noticeable which can be attributed to the fact that, at initial condition, the system consumes more power than its production. This affects the efficiency and causes the increase until the first loading at 0.05 A/cm2. After the power demand of resistive load starts, the efficiency decreases due to voltage losses and parasitic power consumption .
3.2. Energy and Exergy Efficiencies
The energy and exergy analyses of the fuel cell system are carried out to evaluate the fuel cell efficiency. Figure 12 shows the variations of energy and exergy efficiencies with current density. In this study, the energy efficiency obtained is between 50.5 and 68.2% for 0–0.40 A/cm2 current density, while exergy efficiencies vary from 45.3 to 61.2%. Both energy and exergy efficiencies decreased with increase in current density because of the reactants’ flow rates and hydrogen pressure . It is also observed from the results on this Figure that the energy and exergy efficiency curves behave similar to the polarization curves; the influences of voltage losses are obvious. Therefore, improved performance through higher energy and exergy efficiencies can be achieved if the voltage losses are greatly minimized. This can be done by operating the PEMFC at moderate temperatures and pressures.
The comparative plots of the variations of energy and exergy efficiencies with current density as shown in Figure 12 also establish the second law of thermodynamics which explains exergy as “useful work.” Not all energy from the fuel cell system is useful; hence, exergy efficiency is less than energy efficiency. Also investigated through simulation of the model is the effect of membrane thickness on energy and exergy efficiencies of proton exchange membrane fuel cell and results obtained are presented in Figures 13 and 14.
It can be observed from these Figures (Figures 13 and 14) that energy and exergy efficiencies decreased with increase in membrane thickness between 50 and 150 μm. This is because large membrane thicknesses will favour ohmic voltage losses resulting in lower output voltage and hence poor performance. Again, this implies that large membrane thicknesses are disadvantageous to the fuel cell performance.
The effect of membrane humidity of PEMFC on energy and exergy efficiencies is also simulated and the results obtained are illustrated in Figure 15. As seen in this figure, membrane humidity has an influence on the performance of the PEMFC. The energy and exergy efficiencies increased with increase in membrane humidity. This is because as the humidity increases, the cell output voltage also increases leading to higher efficiencies. The excess water removal causes membrane drying, resulting in increased ionic resistance and thus decreasing the electrical efficiency, which in turn results in further drying of the membrane (hot spots) . On the other hand, the excess water stored in the membrane resulted in cell flooding. In order to avoid degradation of voltage and to extend fuel cell stack life, membrane humidity must be controlled properly .
A mathematical model representing a proton exchange membrane fuel cell unit was developed and validated by comparing the polarization curves obtained with the one in open literature. A parametric study was also conducted to examine the effect of various operating conditions on the performance and energy and exergy efficiencies of the cell. The analyses of the results obtained indicated that operating temperature, pressure, membrane thickness, and reactants’ flow rates influenced the performance of the PEMFC as revealed by the developed model. The results obtained from the numerical simulation of the developed model are found to be in good agreement with the experimental data available in the literature; thus the model developed can accurately represent the performance specifications of the system over the entire range of system operation. The energy and exergy efficiencies of the PEMFC can be improved by having a higher operating pressure. However, a high pressure difference between the cathode and the anode is recommended in order to enhance the electroosmotic drag phenomena between the two electrodes. The efficiency of the fuel cell can also be enhanced by increasing the fuel cell operating temperature despite the small and low temperature range of a PEMFC as opposed to other types of fuel cells that operate at high temperatures. Higher exergetic efficiency could be attained if the fuel cell operates at relatively higher cell voltages that would require less mass flow rates for the reactants and the products to achieve a high electrical output. Generally, high performance can be achieved from the extended model results by significant improvement of the fuel cell through adopting any or a combination of the different optimum operating conditions. Any increase in the system performance will greatly affect the overall efficiency and will contribute to the growth of the fuel cell systems in various markets.
The authors declare that they have no competing interests.
University Board of Research (UBR) and STEP-B project of the Federal University of Technology Minna, Nigeria, are highly appreciated for their supports.
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