EXPERIMENTAL AND THEORETICAL DEVELOPMENT OF A PEM ELECTROLYZER MODEL APPLIED TO ENERGY STORAGE SYSTEMS Francisco da Costa Lopes (1,2) and Edson H. Watanabe (2) (1) (2) CEPEL – Electric Power Research Center Av. Horácio Macedo, 354 Cidade Universitária 21941-911 – Rio de Janeiro – RJ fcl@cepel.br Abstract – Electrolyzers have been pointed out as a promising technology for use in energy storage applications. Basically, electrolyzers convert electrical energy to electrochemical energy, which stays encapsulated in diatomic hydrogen molecule for posterior use in fuel cells, which convert the electrochemical energy back to electrical energy. The main advantages of the electrolysis process are the zero-emission of greenhouse gases, the use of water as the source of hydrogen, and the high efficiency in energy conversion. Electrolyzers can be fed by the grid or by renewable sources such as solar and wind. In both cases a power converter is necessary to conditioning the electrical energy in order to deliver a clean DC current to the electrolyzer. In this context, this work shows a modeling of a PEM (proton exchange membrane) electrolyzer intending its use in conjunction with power converters. The main losses in such electrolyzer are modeled and it is shown the influence of the current ripple in the electrolyzer behavior and efficiency. Keywords – Current Harmonics, Electrolyzer, Energy Storage, Fuel Cell, Hydrogen, Renewable Systems. I. INTRODUCTION Electrolyzers are devices that dissociate some molecules by means the injection of a DC controlled current. The hydrogen electrolyzer dissociates the water molecule, delivering diatomic hydrogen (H2) and oxygen (O2) as reaction products [1]. In other words, electrolyzers convert electrical energy to electrochemical energy and for this reason they find practical applications in energy storage systems, where the storage element in this case is the hydrogen, which has one of the highest energy density per mass (120 MJ.kg–1). Compared with systems using batteries, the systems employing hydrogen as storage element are more appropriate for long-term energy storage because they do not present the self-discharge effect as occurs with batteries. Further, batteries may leak, which rarely occur with hydrogen gas tanks due to the high safety concerns and consequent high reliability of such systems. Several studies have been conducted involving electrolyzers and renewable energy sources [2]-[9] such as photovoltaic and wind-powered systems. In such systems the renewable source feeds DC current to the electrolyzer that storages energy in the hydrogen. Power management and control is an important issue in such systems. For this reason, COPPE/UFRJ Electrical Engineering Department P.O. Box 68504 21941-972 – Rio de Janeiro – RJ watanabe@coe.ufrj.br it is important to have an accurate model of the electrolyzer that relates current, voltage, electrical power and hydrogen flow. In this way, this work presents a more accurate modeling of a proton exchange membrane electrolyzer – PEM electrolyzer – taking into account some electrical characteristics that are important in power converter design and control such as current ripple influence on the electrolyzer power demand and efficiency. II. EXPERIMENTAL SETUP The electrolyzer studied in this work is a one-cell PEM electrolyzer made by the company h-tec energy systems [10] and shown in Fig. 1. It is composed by the membrane electrolyte enveloped by two electrodes (anode and cathode), and two tubes filled with water, each one connected to one electrode as shown in Fig. 1 (a). The water flows from oxygen tube to the anode where the first half of the electrolysis reaction takes place. Two molecules of water are then dissociated in four H+ ions and one O2 molecule is formed. In this process four electrons are released flowing around an external circuit. These four H+ ions pass through the membrane and reach the cathode where they combine with the electrons producing two H2 molecules that bubble up inside the hydrogen tube. The electrolyzer in operation is shown in Fig. 1 (b), where it can be seen hydrogen bubbles emerging from the electrode surface. The known parameters of h-tec electrolyzer are shown in TABLE I. Oxygen tube Membrane + electrodes Hydrogen tube (a) h-tec electrolyzer. (b) Hydrogen bubbles at the electrode surface. Fig. 1. Electrolyzer used in experiments. TABLE I Known parameters of the h-tec electrolyzer. Parameter A (Membrane Area) ϕ (Membrane thickness) Value 12.25 cm2 178 μm 978-1-4244-3370-4/09/$25.00 © 2009 IEEE Authorized licensed use limited to: Universidad de Concepcion. Downloaded on April 15,2023 at 05:55:15 UTC from IEEE Xplore. Restrictions apply. 775 The experimental setup is shown in Fig. 2. It is composed by the electrolyzer, a bubble counting instrument to measure the hydrogen flow, a programmable DC current source, an oscilloscope with data storage, a datalogger for long data acquisitions, a signal generator for modulate the DC current with an AC ripple, and a notebook for data acquisition and processing. All the experimental results along this paper were obtained using this arrangement. The calculations shown in this work can be extended for an n-cells electrolyzer by multiplying the results by n. where: • • _ Δ g is the change in the molar Gibbs free energy; Erev is the voltage of the electrolyzer without losses. And then: _ Δg , Erev = − 2F that is the reversible potential of an electrolyzer. (4) The change in Gibbs free energy is temperature dependent and is defined by: _ _ _ Δ g f = Δ h f − TΔ s , (5) where: _ • Δ g f is the change in the molar Gibbs free energy of formation (J.mol-1); • • Δ h f is the change in the molar enthalpy of formation (J.mol-1); T is the temperature (K); • Δ s is the change in the molar entropy (J.mol-1.K-1). _ _ _ In turn, the changes in molar enthalpy of formation ( Δ h f ) Fig. 2. Experimental setup. _ and molar entropy ( Δ s ) are given by: III. ELECTROCHEMICAL FUNDAMENTALS The PEM electrolyzer is a device that breaks the water molecule by means of an electrical current to produces diatomic hydrogen and oxygen, as shown below: (1) H2O ⇒ H2 + ½ O2 , ΔH = 285.84 kJ, where: 0 is the enthalpy of the reaction at 1 atm and 25 °C. ΔH 25 0 25 A. Reversible potential For the hydrogen electrolyzer, two electrons pass through the external circuit for each water molecule consumed and each molecule of hydrogen produced. Being – e the charge of one electron, where e is the elementary charge (1.602 x 10-19 coulombs), and Na the Avogadro’s number (6.022 x 1023), so the charge transferred through the external circuit for one mole of hydrogen produced is: Charge per mole = – 2 eNa = – 2F , • (3) (7) _ _ _ 2 2 2 of formation of hydrogen, oxygen and water, respectively; • _ _ _ (s ) H , (s ) O 2 2 and (s ) H 2O are the molar entropy of hydrogen, oxygen and water, respectively. However, the molar enthalpy of formation and the molar entropy of each substance change with reaction temperature as follows: _ _ hTr = h 298.15 + F (= eNa) is the Faraday constant, which is equal to 96485 coulombs and is the charge of “one mole of electrons” [1]. _ _ _ _ 1 _ Δ s = (s) H + ( s) O − ( s) H O , 2 2 2 2 (h f ) H , (h f ) O and (h f ) H O are the molar enthalpy where: Δ g = −2FErev , (6) where: (2) The change in Gibbs free energy (ΔG) of an electrochemical reaction is defined as the “energy available to do external work, neglecting any work done by changes in pressure and/or volume” [1]. In an electrolyzer, this ‘external work’ corresponds to the flow of electrons through the external circuit. If the system has no losses, this external work will be equal to the electrical work, so the following equation is established: _ _ _ 1 _ Δ h f = (h f ) H + (h f ) O − (h f ) H O , 2 2 2 2 _ _ s Tr = s 298.15 + ∫ ∫ Tr 298.15 _ c p dT , 1_ c p dT , 298.15 T Tr (8) (9) where: • • _ _ h 298.15 and s 298.15 are the molar enthalpy of formation and molar entropy at ambient temperature (298.15 K); _ c p is the molar heat capacity of each substance (H2O, H2, O2) at constant pressure. The values of the molar enthalpy of formation, molar entropy and molar heat capacity of each substance are 978-1-4244-3370-4/09/$25.00 © 2009 IEEE Authorized licensed use limited to: Universidad de Concepcion. Downloaded on April 15,2023 at 05:55:15 UTC from IEEE Xplore. Restrictions apply. 776 E 0 rev = 1.449 − 0.0006139 T − 4.592 × 10 T + 1.46 × 10 T . −7 − 10 2 1.25 (10) Definition Adjusted polynomial 1.24 Reversible potential (V) 3 1.23 m3 , (13) s that is the volumetric hydrogen flow. Changing from m3.s–1 to ml.min–1: H 2 flow = 1.2462 × 10 −7 × I H 2 flow = 7.477 × I 1.22 40 35 30 25 20 15 10 5 0 (14) Experimental flow Theoretical flow 0 1 1.21 2 3 Current (A) 4 5 Fig. 4. Experimental and theoretical hydrogen flow. 1.2 C. Efficiency 1.19 1.18 ml . min Fig. 4 shows the measured and the theoretical hydrogen flow for 0.75 to 4.5 A DC current range. It is noted that experimental and theoretical hydrogen flows agree quite well for most of the range. The maximum percent error found was 7 % at 2.5 A, and the average percent error was 5 %, which reveals a good agreement between theoretical and experimental results. The linear relationship expected between hydrogen flow and current is also observed in the experimental measurements. Hydrogen flow (ml/min) obtained from thermodynamics tables [11][12] and are shown in the Appendix. With the help of MathCAD software, the integrals shown in (8) and (9) are calculated for Tr varying from 273.15 K (0 °C) to 353.15 K (80 °C) and the molar enthalpy of formation ( hf ) and molar entropy ( s ) of each substance are found. By applying these values in (6) and (7) and finally substituting the results in (5), the change in the molar Gibbs free energy of formation (Δgf) is obtained for the temperature range above. The reversible potential is obtained by substituting the values of Δgf in (4). By using the MATLAB curve fitting toolbox it was found that the curve of the reversible potential is better adjusted by a 3rd order polynomial as shown in (10). Fig. 3 shows the reversible potential in function of temperature calculated by the definition and the adjusted polynomial. 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 Temperature ( °C) Fig. 3. Relationship between reversible potential and temperature. The reversible potential is also influenced by pressure of reactants and products (the voltage increases with the pressure). However, in this work the effect of pressure on reversible potential is neglected because the electrolyzer operates at ambient pressure and its effects is imperceptible. B. Hydrogen flow As mentioned before, for each mole of hydrogen produced, two electrons circulate through the external circuit. Since the charge of one mole of electrons that pass round the external circuit is given by (2) then: Total charge = − 2 F nH , 2 (11) where: n H 2 is the total amount of moles of hydrogen that are produced. Taking the absolute value of (11), dividing both terms by time, and rearranging gives: H 2 flow = I 2F moles , s (12) where: I is the DC current injected into the electrolyzer. Multiplying the expression above by hydrogen mass (2.02 x 10–3 kg.mole–1) and dividing by hydrogen density (0.084 kg.m–3) gives: The enthalpy of formation is the energy that would be released if the fuel were burnt [1]. For this reason, this entity is also called ‘calorific value’. When the water involved in the reaction is in the steam form, this figure is equal to – 241.83 kJ.mole–1 for 1 atm and 25 °C and is called the lower heating value (LHV), and when the water is in the liquid form, this figure is equal to –285.84 kJ.mole–1 for 1 atm and 25 °C and is called the higher heating value (HHV) [1]. So if all the electrical energy injected into the electrolyzer were transformed into hydrogen, then the reversible potential would be given by: _ Erev Δh , =− 2F = 1.25 V, for the LHV, and = 1.48 V, for the HHV. (15) Thus, it is reasonable to define the electrolyzer efficiency as a ratio between the voltage shown in (15) and the actual voltage of the electrolyzer. So, using the HHV, the electrolyzer efficiency is given by: Efficiency = 1.48 × 100% . ETotal (16) Fig. 5 shows the experimental efficiency of the h-tec electrolyzer calculated using (16), where ETotal is the actual voltage measured at electrolyzer terminals. The graph shows that the efficiency reduces for higher currents. This is explained by the fact that the losses increase with higher currents, as will be show in the next section. However, it is clear that the electrolyzer is very efficient in converting 978-1-4244-3370-4/09/$25.00 © 2009 IEEE Authorized licensed use limited to: Universidad de Concepcion. Downloaded on April 15,2023 at 05:55:15 UTC from IEEE Xplore. Restrictions apply. 777 electrical energy to electrochemical energy and can be compared with batteries which efficiency is around 80 %. The high efficiency of the electrolyzer makes it suitable to be employed in energy storage systems. 100% Efficiency 90% 80% 70% 60% voltage across the resistance ROhm represents the ohmic overpotential and the voltage across the resistance RAct in parallel with the capacitance C represents the activation overpotential. This capacitance C represents the charge double layer phenomenon that takes place at the electrodeelectrolyte interface and is treated in details in [1] and [16]. The reversible potential is also represented by a constant DC voltage source (if the temperature is fixed). The second representation using resistances and capacitance (Fig. 6 (b)) is useful to analyze the dynamic behavior of the electrolyzer. I I 50% 0 1 2 3 Current (A) 4 + 5 EOhm + _ EAct + _ Fig. 5. Experimental efficiency. IV. OVERPOTENTIALS MODELING The main overpotentials (or irreversible losses) that affect the electrolyzer voltage in low currents are the ohmic overpotential and activation overpotential. So the total voltage of the electrolyzer is given by the sum of reversible potential and these overpotentials as follows: (17) ETotal = ERev + EOhm + EAct. Equation (17) suggests that the voltage at the electrolyzer terminals (ETotal) can be represented by a circuit composed by three voltage sources as shown in Fig. 6 (a). For a fixed temperature the reversible potential is constant and can be represented by a constant DC voltage source. The ohmic overpotential and activation overpotential are represented as current-controlled voltage sources. Many authors adopt the representation shown in Fig. 6 (b) [1][13][14][15], where the ETotal Erev RAct ETotal C Erev _ _ (b) (a) Fig. 6. Equivalent electrical circuit representations of a PEM electrolyzer. A. Ohmic Overpotential The ohmic overpotential is modeled according to (18). EOhm = ϕ , j σ (18) where: • ϕ is the thickness of the membrane that is 178 μm; • σ is the conductivity of the membrane (S.cm-1); • j is the current density (A.cm-2). According to Larminie and Dicks [1], the ohmic overpotential can be found by ‘interrupt current technique’. Considering a clean and well shaped DC current circulating through the circuit of the Fig. 6 (b), in steady state the capacitance C is fully charged and the current flows only through ROhm and RAct. If the current is suddenly cut off, the voltage across the resistance ROhm will immediately reduce to zero while the voltage across RAct will take some time to decay due to charge double layer capacitance time constant. Fig. 7 shows an experimental measurement of the voltage at the electrolyzer terminals where can be clearly noted the abrupt voltage drop that corresponds to the ohmic overpotential. The ohmic overpotential measured for each current value is shown in Fig. 8. This overpotential behaves fairly linear in the range between 0 and 1.5 A. Beyond this interval, the ohmic overpotential becomes nonlinear due to the bubble voltage effect. The study of this phenomenon is out of the scope of this work, but more information can be found in [17]. 1.90 1.80 Voltage (V) D. Irreversibilities Irreversibility is a more precise term to describe the ‘losses’ in thermodynamic and electrochemical systems. Many times the ‘lost energy’ can be recovered and thus it is not an irreversible loss. The term irreversibility is more precise because describes the energy that cannot be recovered, that is, an irreversible loss. In electrolyzers the irreversibilities appear under the form of overpotentials or overvoltages that are summed to the reversible potential given by (4). Thus, the main overpotentials of an electrolyzer are the activation overpotential, ohmic overpotential, and concentration overpotential. The activation overpotential is caused by the slowness of the reactions that take place at the electrodes surface. A proportion of the voltage generated is lost in driving the chemical reaction that transfers the electrons to or from the electrode. This overpotential is highly nonlinear and varies with the current, predominating in lower currents. The ohmic overpotential is due to the resistance to flow of electrons through the electrodes (electronic resistance) and the resistance to flow of ions through the membrane electrolyte (protonic resistance). This overpotential is proportional to current and linear. The concentration overpotential is the result in change of the concentration of reactants at the surface of the electrode as it is consumed. However, this overpotential predominates at higher currents and can be neglected in this work since the studied electrolyzer operates with lower currents. + ROhm 1.70 Ohmic overpotential 1.60 1.50 1.40 0 2 4 6 8 10 12 14 16 18 20 22 Time (s) Fig. 7. Voltage variation due to current interrupt (ΔI = 2 A). 978-1-4244-3370-4/09/$25.00 © 2009 IEEE Authorized licensed use limited to: Universidad de Concepcion. Downloaded on April 15,2023 at 05:55:15 UTC from IEEE Xplore. Restrictions apply. 778 0.12 0.08 0.04 0.00 0 0.5 1 Current (A) 1.5 Fig. 8. Ohmic overpotential obtained by current interrupt method. The conductivity is calculated using (18) and is plotted in Fig. 9. It can be seen that the conductivity is almost constant for that current range. Taking the average value of conductivity, that is, 0.0165 S.cm-1, the ohmic resistance is calculated and the following linear equation is established relating current and ohmic overpotential. E Ohm linearized (19) = 0.09 × I . Conductivity (S.cm-1) 0.025 0.020 0.015 0.010 Activation overpotential (V) Ohmic overpotential (V) applications, electrolyzers operate in higher temperatures (sometimes reaching 80 °C) to increase efficiency [4] so (10) will have to be taken into account to find the right value of the reversible potential. The activation overpotential for each current value is shown in Fig. 10. 0.16 0.40 0.35 0.30 0.25 0.20 0 0.5 1 1.5 Current (A) Fig. 10. Activation overpotential. The charge transfer coefficient of the cathode (αC) shown in (20) is considered constant and equal to 0.5 by many authors [1][19][20]. This assumption is also adopted in this work. The other parameters shown in (20) (αA, jA,o, jC,o) can be found using a curve fitting algorithm. The data shown in Fig. 10 was then fitted using the MATLAB curve fitting toolbox, as shown in Fig. 11, and the parameters found by this algorithm are shown in TABLE II. 0.005 0.000 0 0.5 1 Current (A) 1.5 Fig. 9. Membrane conductivity (σ). B. Activation Overpotential The activation overpotential (EAct) is modeled according to the Butler-Volmer equation [1][13][16]. It is used the hyperbolic sine approximation for the Butler-Volmer equation [18][19][20] instead of the traditional form using a logarithm function because the hyperbolic sine function is easier to model using curve fitting algorithms. The hyperbolic sine form for EAct is given below: EAct = ⎛ j RT sinh −1 ⎜⎜ 2α A F ⎝ 2 jA,o ⎞ ⎛ ⎟ + RT sinh −1 ⎜ j ⎟ 2α F ⎜2j C ⎠ ⎝ C,o ⎞ ⎟, ⎟ ⎠ Goodness of fit: SSE: 0.0001318 R-square: 0.9906 Adjusted R-square: 0.9881 RMSE: 0.003461 (20) where: • αA is the charge transfer coefficient at the anode; • αC is the charge transfer coefficient at the cathode; • jA,o is the exchange current density at the anode (A.cm-2); • jC,o is the exchange current density at the cathode (A.cm-2). 1) Finding αA, αC, jA,o, jC,o by curve fitting The experimental values of activation overpotential (EAct) can be obtained using (17) by subtracting the ohmic overpotential (EOhm) values obtained by current interrupt method (Fig. 8) and the reversible potential (ERev) from the total voltage (ETotal) measured at the electrolyzer terminals. Since the temperature does not change very much during the experiments, the reversible potential can be considered constant and equal to 1.23 V (Erev for 25 °C). In practical Fig. 11. Activation overpotential curve fitting. TABLE II h-tec electrolyzer parameters found by curve fitting Parameter αA αC jA,o jC,o σ Value 0.42 0.5 3.348 x 10-6 0.04957 0.02 2) Activation overpotential linearization It is observed that the activation overpotential curve shown in Fig. 10 is almost linear between 0.5 and 1.5 A. From this observation, that overpotential can be linearized around some operating point. By using the parameters shown in TABLE II, the differentiation of EAct at the operating point is calculated as shown in (21). 978-1-4244-3370-4/09/$25.00 © 2009 IEEE Authorized licensed use limited to: Universidad de Concepcion. Downloaded on April 15,2023 at 05:55:15 UTC from IEEE Xplore. Restrictions apply. 779 dE Act dj = + 1 1 RT ⋅ ⋅ 2α A F 2 jA,o ⎛ ⎜ j ⎜2j ⎝ A,o RT 1 1 ⋅ ⋅ 2α C F 2 jC,o ⎛ ⎜ j ⎜2j ⎝ C,o V. EXPERIMENTAL DYNAMIC ANALYSIS 2 ⎞ ⎟ +1 ⎟ ⎠ + 2 (21) ⎞ ⎟ +1 ⎟ ⎠ The calculations were made for I = 0.9 A point (j = 0.9/12.25 = 0.073 A.cm-2), once this point is in the middle of the linear range. In this way, by converting current density (A.cm-2) to current (A) and finding the linear coefficient, the linear equation that represents the activation overpotential is found: E Act linearized (22) = 0.0514 × I + 0.2798 . C. Linear Model Validation The linearized ohmic and activation overpotentials were calculated using (19) and (22) and were plotted with the experimental measurements in order to validate the model. Fig. 12 shows the activation and ohmic overpotentials and Fig. 13 shows the total voltage at the electrolyzer terminals. The figures show that, for the current range considered in the linearization process, the error is very small and, therefore, the linear model developed is suitable to represent the electrolyzer for the current range between 0.5 and 1.5 A. Naturally, the linearization technique can be further applied to other points if one wants to find a better approximation of the total voltage at each point. 0.5 Experimental Eact Linearized Eact Experimental Eohm Linearized Eohm Voltage (V) 0.4 0.3 0.2 A. Laplace Domain Analysis Laplace Transformation can be applied to circuit variables of Fig. 6 (b) considering the linear behavior presented by the electrolyzer between 0.5 and 1.5 A. By applying the Laplace Transformation to circuit variables of Fig. 6 (b) gives: ⎛ R + RAct ⎞ ⎟ sROhm + ⎜⎜ Ohm RAct C ⎟⎠ . E rev ⎝ (23) E Total (s ) = + I (s ) 1 s s+ RAct C that is the expression of the total voltage (ETotal) in the Laplace Domain. The second term of (23) represents the impedance formed by ROhm, RAct and C. It is clear that this term imposes a first order behavior to the electrolyzer dynamic response. Equation (23) also suggests that the response time of the electrolyzer depends on the activation resistance (RAct) and the double layer capacitance (C) values. Some authors report values about 10-30 μF.cm–2 for the double layer capacitance for a PEM fuel cell fed by methanol [14]. If this value were applied to the studied PEM electrolyzer, its capacitance would be 122.5-367.5 μF. However, its value varies from cell to cell and cannot be generalized since it depends on the membrane humidity, operating temperature, concentration of catalysts on the electrodes surface, etc. In addition, it is not so easy to determine the exact value of this capacitance. The impedance spectroscopy technique is a more suitable method to find the double layer capacitance value, but the employment and the study of this technique are out of the scope of this work. The ohmic resistance ROhm and the activation resistance RAct can be estimated by (19) and (21), respectively. Fig. 14 shows the experimental response of the electrolyzer voltage to a current step from 0 to 1 A. It is noted that the response looks quite well with a first order system response, validating the dynamic circuit model proposed in Fig. 6 (b) and, consequently, the expression shown in (23). 1.70 0.1 0 0.5 Current (A) 1 1.5 Fig. 12. Activation and ohmic overpotentials. Voltage (V) 0 1.65 1.60 1.55 1.50 1.45 1.40 1.35 1.8 1.30 Experimental Linearized 0 4 6 8 10 12 14 16 18 20 22 24 Time (s) Fig. 14. Experimental response of the electrolyzer voltage to a current step. 1.7 Voltage (V) 2 1.6 1.5 0 0.5 Current (A) 1 Fig. 13. Total voltage (ETotal) of the electrolyzer. 1.5 B. Current ripple analysis In order to analyze the influence of the current ripple (or current harmonics) on the electrolyzer dynamic behavior, it was applied a frequency- and amplitude-controlled CA signal over the DC current of the electrolyzer. The current source shown in Fig. 2 was programmed to supply 1.25 A DC with a 1.5 A (peak to peak) CA current superimposed to DC level. The frequency was changed at each experiment and total 978-1-4244-3370-4/09/$25.00 © 2009 IEEE Authorized licensed use limited to: Universidad de Concepcion. Downloaded on April 15,2023 at 05:55:15 UTC from IEEE Xplore. Restrictions apply. 780 voltage (ETotal) and hydrogen flow were measured for each frequency. The total voltage and current were plotted in v-i plots as shown in Fig. 15. It was observed a notable hysteresis between total voltage and current of the electrolyzer for frequencies below 40 Hz, revealing that voltage and current are out of phase for these frequencies. Fig. 16 shows voltage and current of the 10 Hz experiment without DC level, where is possible to see that the voltage lags the current, as a RC circuit. This effect is due to the charge double layer capacitance as explained previously. For frequencies higher than 40 Hz, the hysteresis behavior disappears because the impedance related to the double layer capacitance is reduced and the v-i curve becomes a straight line, so in very high frequencies (20-100 kHz), where many power converters operate, the circuit behaves like a resistive circuit. power consumed when there is current ripple is higher than the average power without current ripple. These observations lead to the conclusion that the AC current ripple causes energy waste, because it increases the power consumed by the electrolyzer without increasing the hydrogen production. The lower the frequency of the current ripple, the higher is the power loss in the electrolyzer. Up to the present, there are no evidences if the current harmonics can harm the membrane or other electrolyzer component. The study of the consequences of the harmonics on the membrane integrity is then left for further works. TABLE III Relationship between hydrogen flow and current harmonics. Frequency 10 60 Only DC Hydrogen flow (ml/min) 4.60 4.76 4.76 4 3,5 Power (W) 3 (b) 20 Hz. (a) 10 Hz. Average power consumed with 10 Hz current ripple 2,5 DC Power 10 Hz Power 2 1,5 1 0,5 1153 1105 1057 961 913 1009 865 817 769 721 673 625 577 529 481 433 385 337 289 241 97 193 145 1 49 0 Time (s) Fig. 17. Average power level of 10 Hz ripple. VI. CONCLUSION (d) 40 Hz. (c) 30 Hz. Fig. 15. Electrolyzer voltage and current hysteresis. Voltage (V) , Current (A) 1 Voltage Current -1 Time (s) Fig. 16. Voltage and current out of phase – 10 Hz. TABLE III shows hydrogen flow measured in three situations: (i) current ripple of 10 Hz superimposed to DC current, (ii) current ripple of 60 Hz superimposed to DC current, and (iii) DC current without ripple. TABLE III shows that the hydrogen flow practically does not vary when the DC current has AC ripple superimposed to it. Fig. 17 shows the average power consumed by electrolyzer with a 10 Hz current ripple and without current ripple (only DC current). It can be seen that the average The high efficiency in energy conversion, the zeroemission of greenhouse gases, and the use of water as hydrogen source make the electrolysis process a good choice for use in energy storage systems employing renewable sources. Besides, the high energy density by weight of the hydrogen, and the absence of self-discharging effect makes this element ideal for long-term energy storage. Electrolyzers can be fed by the grid or by renewable sources such as solar and wind. In both cases a power converter is necessary to conditioning the electrical energy in order to deliver a clean DC current to the electrolyzer. Thus, it is important to have a more accurate model of the electrolyzer that relates its current, voltage, electrical power demand and hydrogen flow. This work has presented a modeling of a proton exchange membrane electrolyzer (PEM electrolyzer). A more rigorous calculation of the electrolyzer reversible potential relating it with temperature was presented. In practical applications, where the temperature reaches 60-80 °C, this relationship must be taken into account to find the right value for the reversible potential in order to get a more accurate model. The main losses in such electrolyzer were modeled and linearized. It was shown the influence of the current ripple in the electrolyzer behavior and efficiency. The AC current ripple causes energy waste, because it increases the power consumed by the electrolyzer without increasing the 978-1-4244-3370-4/09/$25.00 © 2009 IEEE Authorized licensed use limited to: Universidad de Concepcion. Downloaded on April 15,2023 at 05:55:15 UTC from IEEE Xplore. Restrictions apply. 781 hydrogen production. The lower the frequency of the current ripple, the higher is the power loss in the electrolyzer. Thus, this issue must be taken into account in the power converter design. REFERENCES [1] J. Larminie, A. Dicks, Fuel Cell Systems Explained, John Wiley & Sons, 2nd ed, Chichester, England, 2003. [2] C. Wang, M.H. Nehrir, “Power Management of a StandAlone Wind/Photovoltaic/Fuel Cell Energy System”, IEEE Transactions on Energy Conversion, Vol. 23, No. 3, pp. 957-967, September 2008. [3] K. Agbossou, M. Kolhe, J. Hamelin, T.K. Bose, “Performance of a Stand-Alone Renewable Energy System Based on Energy Storage as Hydrogen”, IEEE Transactions on Energy Conversion, Vol. 19, No. 3, pp. 633-640, September 2004. [4] K. Agbossou, R. Chahine, J. Hamelin, et al., “Renewable Energy Systems Based on Hydrogen for Remote Applications”, Journal of Power Sources, Vol. 96, Issue 1, pp. 168-172, June 2001. [5] D.-J. Lee, L. Wang, “Small-Signal Stability Analysis of an Autonomous Hybrid Renewable Energy Power Generation/Energy Storage System Part I: TimeDomain Simulations”, IEEE Transactions on Energy Conversion, Vol. 23, No. 1, pp. 311-320, March 2008. [6] M. Korpås, A.T. Holen, “Operation Planning of Hydrogen Storage Connected to Wind Power Operating in a Power Market”, IEEE Transactions on Energy Conversion, Vol. 21, No. 3, pp. 742-749, September 2006. [7] T. Senjyu, T. Nakaji, K. Uezato, T. Funabashi, “A Hybrid Power System Using Alternative Energy Facilities in Isolated Island”, IEEE Transactions on Energy Conversion, Vol. 20, No. 2, pp. 406-414, June 2005. [8] Ø. Ulleberg, “The Importance of Control Strategies in PV-hydrogen Systems”, Solar Energy, Vol. 76, pp. 323329, July 2003. [9] S. Kélouwani, K. Agbossou, R. Chahine, “Model for Energy Conversion in Renewable Energy System with Hydrogen Storage”, Journal of Power Sources, Vol. 140, Issue 2, pp. 392-399, February 2005. [10] Web site of h-tec hydrogen systems: http://www.h-tec.com/ . [11] G.J. Van Wylen, R.E. Sonntag, Fundamentos da Termodinâmica Clássica, 2ª ed, Editora Edgard Blücher, São Paulo, 1976. [12] A. Bejan, G. Tsatsaronis, M. Moran, Thermal Design and Optimization, John Wiley & Sons, New York, USA, 1996. [13] F. Barbir, PEM Fuel Cells – Theory and Practice, Elsevier Academic Press, USA, 2005. [14] M. Ordonez, P. Pickup, J.E. Quaicoe, M.T. Iqbal, “Electrical Dynamic Behavior of a Direct Methanol Fuel Cell”, IEEE Power Electronics Society Newsletter, pp. 10-15, First Quarter 2007. [15] J.M. Corrêa, F.A. Farret, L.N. Canha, M.G. Simões, “An Electrochemical-Based Fuel-Cell Model Suitable for Electrical Engineering Automation Approach”, IEEE Transactions on Industrial Electronics, Vol. 51, No. 5, pp. 1103-1113, October 2004. [16] E.A. Ticianelli, E.R. Gonzalez, Eletroquímica: Principios e Aplicações, 2a ed, Editora da Universidade de São Paulo, São Paulo, 2005. [17] A. Roy, S. Watson, D. Infield, “Comparison of electrical energy efficiency of atmospheric and highpressure elctrolysers”, International Journal of Hydrogen Energy, Vol. 31, pp. 1964-1979, 2006. [18] N.V. Dale, M.D. Mann, H. Salehfar, “Semiempirical model based on thermodynamic principles for determining 6 kW proton exchange membrane electrolyzer stack characteristics”, Journal of Power Sources, Article in Press (doi: 10.1016/j.jpowsour.2008.08.054), 2008. [19] P.Choi, D.G. Bessarabov, R. Datta, “A simple model for solid polymer electrolyte (SPE) water electrolysis”, Solid State Ionics, Vol. 175, pp. 535-539, January 2004. [20] C.Y. Biaku, N.V. Dale, M.D. Mann, H. Slehfar, A.J. Peters, T. Han, “A semiempirical study of the temperature dependence of the anode charge transfer coefficient of a 6 kW PEM electrolyzer”, International Journal of Hydrogen Energy, Vol. 33, pp. 4247-4254, 2008. APPENDIX The values of the molar enthalpy of formation and molar entropy of each substance (H2O, H2, O2) at ambient temperature are given in TABLE IV. TABLE IV Molar enthalpy of formation and molar entropy at 298.15 K _ h 298.15 (J.mol-1) H2O (liquid) –285.838 H2O (steam) _ s 298.15 (J.mol-1.K-1) 70.05 –241.827 188.83 H2 0 130.59 O2 0 205.14 _ The molar heat capacity ( c p ) is also obtained from thermodynamics tables [11][12]. For the liquid water, the molar heat capacity is given by: _ -1 -1 (24) c p = 75.79 J.mole .K . For the hydrogen, the molar heat capacity at constant pressure is given by: _ c p = 56.5 − 2.2 × 10 4 T −0,75 + 1.17 × 10 5 T −1 − 5.6 × 10 5 T −1,5 J.mole-1.K-1. (25) And for the oxygen, the molar heat capacity at constant pressure is given by: _ c p = 29.154 + 6.477 × 10 −3 T − 0.184 × 10 6 T −2 − 1.017 × 10 −6 T J.mole-1.K-1. 978-1-4244-3370-4/09/$25.00 © 2009 IEEE Authorized licensed use limited to: Universidad de Concepcion. 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