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SummaryThe sun and wind as renewable energy sources are attracting more regard as alternative energy sources. In addition to the decreasing fuel sources, pollution and global warming are important problems. Fuel cells are a beneficial energy technology that generates electric energy through the reaction between the fuel sources rich in hydrogen and oxygen. In comparsion with combustion engines, fuel cells have many advantages, such as high efficiency and low emissions. Furthermore the by-products of fuel cells are heat and water. Proton exchange membrane fuel cells (PEMFCs) have attracted much interests recently. PEM fuel cells are Pollution-Free high-efficiency power sources for urban vehicles that recently corporate by legislative initiatives. Previously, some research on modeling and simulation of PEMFC has been performed (Secanell et al. 2014). The fundamental structure of a PEMFC can be described as two electrodes (anode and cathode) separated by a solid polymer membrane that acting as an electrolyte. The hydrogen gas is the Best fuel for fuel cell powered vehicles, because of the highest conversion efficiency for fuel, generating zero tail-pipe emission and producing water as an only product of the reaction between hydrogen and air .By flowing hydrogen fuel through a network of channels to the anode, hydrogen separates into protons that transfer via the membrane to the cathode. Collection of electrons in the two electrodes causes the creation of electrical current in an electrical circuit that linked to the electrodes. Through a similar network of channels the oxygen that comes from the air, named oxidant, flows to the cathode and then, the electrons coming from the external electrical circuit will be received by oxygen and finally, produce water and heat from the protons that flow via the electrolyte membrane (Feroldi and Basualdo 2011;Gottesfeld 1999).With a valid mathematical model, PEMFC system performance can be better understood. Moreover, the time and cost are reduced in the analysis and design of FC systems. Nowadays, programming in other sciences has a very special place because the importance of computers cannot be ignored as a very effective application in technical and research affairs. The OPEM software (open proton exchange membrane) written in Python Programming language that is very powerful for developers but is also accessible to scientists. Simulation models in PEMFC include dynamic and static models. Static models focus more on electrochemical techniques and can predict the performance of PEMFC. Simulated parametric models combined with the empirical approach that describes the important concepts such PEMFC polarization losses, efficiency, and Nernst voltage. Dynamic models improve static models and complete the simulation process. In dynamic models, the science of fluid and material merge with electrochemical principles and dynamic concepts. Consideration the rules of absorption and penetration of gases based on their pressure and density, causes the simulation of fuel cell to be more ...

Reported data in this paper are about Nafion 112 membrane standard tests and MEA activation tests of PEM fuel cell in various operation condition. Dataset include two general electrochemical analysis method, Polarization and Impedance curves. In this dataset, effect of different pressure of H2/O2 gas, different voltages and various humidity conditions in several steps are considered. Details of experimental methods has been explained in this paper. Behavior of PEM fuel cell during distinct operation condition tests, activation procedure and different operation condition before and after activation analysis can be concluded from data. In Polarization curves, voltage and power density change as a function of flows of H2/O2 and relative humidity. Resistance of the used equivalent circuit of fuel cell can be calculated from Impedance data. Thus, experimental response of the cell is obvious in the presented data, which is useful in depth analysis, simulation and material performance investigation in PEM fuel cell researches.<br>

<p>Dataset includes Direct Borohydride Fuel Cell (DBFC) impedance and polarization test in anode with Pd/C, Pt/C and Pd decorated Ni–Co/rGO catalysts. In fact, different concentration of Sodium Borohydride (SBH), applied voltages and various anode catalysts loading with explanation of experimental details of electrochemical analysis are considered in data. Voltage, power density and resistance of DBFC change as a function of weight percent of SBH (%), applied voltage and amount of anode catalyst loading that are evaluated by polarization and impedance curves with using appropriate equivalent circuit of fuel cell. Can be stated that interpretation of electrochemical behavior changes by the data of related cell is inevitable, which can be useful in simulation, power source investigation and depth analysis in DB fuel cell researches. </p> <p> </p>

The interesting properties of thermally expanded graphite make it an ideal candidate for application as the anode electrode in conventional and next generation lithium-ion batteries.