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95 results for “Fuel Cell”
A detailed flowsheet of a 100 MW Solid Oxide Fuel Cell plant modeled in ASPEN PLUS
<p>Files required for modeling a 100 MW Solid Oxide Fuel Cell Plant (Power-to-Gas Mode) in Aspen Plus. The plant was designed by Butera et al.[1]. A detailed capital cost estimate was made using the AspenTech Process Economic Analyzer and written in ESA.xlsx. </p> <p>Further details are available upon request: alexandru.botan@phystech.edu</p> <p>[1] Butera, G., Jensen, S.H., and Clausen, L.R. "A novel system for large-scale storage of electricity as synthetic natural gas" submitted to J. Energy</p> <p> </p> <p> </p>
Dataset associated to paper: Nanoscaffold effects on the performance of air-cathodes for microbial fuel cells: Sustainable Fe/N-carbon electrocatalysts for the oxygen reduction reaction under neutral pH conditions
<p>This file contains the dataset associated to the published research article "Nanoscaffold effects on air-cathode performance in microbial fuel cells: Fe/N-carbon electrocatalysts for the oxygen reduction reaction under neutral pH conditions". The dataset contains X-ray powder diffraction, Inductively Coupled Plasma Emission Spectroscopy, elemental analysis, measurements of the specific surface area, transmission electron microscopies, x-ray photoelectron microscopy, electrochemistry and microbial fuel cells power outputs data from their relative instruments. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreements No. 799175 (HiBriCarbon) and No. 748968 (EDGE-FREEMAB). The results of this publication reflect only the authors' view and the Commission is not responsible for any use that may be made of the information it contains. This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. SI kindly acknowledges support by the Department of Social Justice State Government of Maharashtra, India. </p>
Data used in the paper "High Performance H2−Mn Regenerative Fuel Cells through an Improved Positive Electrode Morphology "
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Authors:Javier Rubio-Garcia, Anthony Kucernak, Barun Kumar Chakrabarti , Dong Zhao , Danlei Li2, Yuchen Tang , Mengzheng Ouyang , Chee Tong John Low and Nigel Brandon </p> <p>Title:High Performance H2−Mn Regenerative Fuel Cells through an Improved Positive Electrode Morphology </p> <p>Journal:Batteries</p> <p>DOI:</p> <p>Please cite the above reference if you wish to use this data</p> <p>DOI of data:10.5281/zenodo.7599405</p>
Experimental data set for the article entitled "Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell"
<p>Experimental data for the article: Szablowski, L.; Dybinski, O.; Szczesniak, A.; Milewski, J. Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell. Energies 2022, 15, 608. The experiments were performed by the first two authors.<br> These data set refer to experiments carried out on a stand used to test high-temperature fuel cells. The subject of the study was a molten carbonate fuel cell fueled with a mixture of methane and steam with steam to carbon ratio of 2.0, 2.5, 3.0 and 3.5 and at the cell operating temperature of 550°C and 650°C. Additionally, in the anode channel of the cell, there was a catalyst in the amount of 2 g. The active area of the cell was 20.25 cm<sup>2</sup>. The article that uses these research results is published in an open access journal with a CC-BY license. This research was funded by the National Science Center, Poland (Grant number 2020/39/D/ST8/02021).</p>
Data from: Three-dimensional nanoimaging of fuel cell catalyst layers
<p>The folders contain data and code source files associated with the article "Three-dimensional nanoimaging of fuel cell catalyst layers" published in Nature Catalysis, 6 (2023) 383-391</p> <p>Content:<br> - Data.zip: contains raw and processed data (reconstructed, denoised, segmented, thickness distributions) for samples LSC7 and HSC7. Data is organized to enable the reproduction of training models for denoising and segmentation using the notebooks in "Code and Scripts.zip".<br> - Code and Scripts.zip: contains jupyter notebooks for training and application of the segmentation models and for analysis of the segmented reconstructions; FIJI/imageJ script for semi-manual alignment of tilt-series</p>
Data file for paper: Javier Rubio-Garcia; Anthony R J Kucernak, Rutao Liu and Barun K Chakrabarti "Hydrogen/functionalized benzoquinone for a high-performance regenerative fuel cell as a potential large-scale energy storage platform"
<p>The data in this spreadsheet was used to produce the figures in the paperJavier Rubio-Garcia; Anthony R J Kucernak, Rutao Liu and Barun K Chakrabarti "Hydrogen/functionalized benzoquinone for a high-performance regenerative fuel cell as a potential large-scale energy storage platform"Journal of Materials Chemistry A, 2020, DOI: 10.1039/C9TA12396B</p> <p>Please cite the above reference if you wish to use this data</p>
Rejuvenation of Fuel Cells
<p>The deliverable presents the obtained measurement and analysis results of the accelerated stress test protocols consisting of voltage cycling, designed to target electrocatalyst degradation, with the intentional recovery periods (so-called soak time steps) every 2500 voltage cycles on an already conditioned 50 cm2 (single) fuel cell provided by ElringKlinger. Before and after every intentional stop, a series of diagnostic methods (polarization curves, electrochemical impedance spectroscopy, cyclic voltammetry, linear sweep voltammetry) were performed. During the conducted durability test, different shutdown procedures, as well as different duration of the soak time period were tested with their impact on performance recovery phenomenon. The results suggest that cause of the reversible degradation could be accumulated water within the cell and/or presence of oxygen within the catalyst layer. The prolonged soak time step reduces recovery effect, while rapid reduction of the cell temperature with ice proved to be counterproductive for performance recovery. Shutdown procedure without shortly-connected resistor has shown no effect on recovery. Shutdown procedure without nitrogen purge proved to be the most effective for performance recovery.</p>
Low-frequency EIS intercept as a diagnostic tool for PEM fuel cells degradation
<p>Several diagnostic tests, such as polarization curves, electrochemical impedance spectroscopy (EIS), and cyclic voltammetry (CV), were conducted periodically to monitor performance degradation during an accelerated stress test (AST) for catalyst degradation on a single proton exchange membrane (PEM) fuel cell, which involves voltage cycling. From the results of the EIS measurements taken during the AST at three different current densities, catalyst degradation is clearly shown. The lowfrequency intercept (Total R) increased most significantly. The simulation results with an 11-element impedance model show very good agreement with experimental data and consistency with the polarization change curves and CV. The obtained impedance at Total R is purely real, and it can be a useful and perhaps sufficient indicator for catalyst degradation and determination of the cell current state from just one parameter value, which is very promising for the future implementation in the PEM fuel cell control system</p>
Electrochemical low-frequency impedance spectroscopy algorith for diagnostics of PEM fuel cell degradation
<p>In order to estimate fuel-cell degradation status on-line and inexpensively, a diagnostic technique based on relay feedback is developed. The technique can obtain critical parameters within seconds of start-up and is robust to measurement bias.</p> <p>Electrochemical impedance spectroscopy (EIS) is a popular laboratory technique to perform diagnostics on electrochemical systems such as fuel cells, but its application to real-life fuel-cell systems is difficult because of the size and cost of the apparatus. In this study, we present a more detailed equivalent-circuit model for a PEM fuel cell, able to explain the positive reactance shown at low frequencies.</p> <p>Some of these characteristics, measured at several stages during an Accelerated Stress Test (AST), progress gradually with catalyst degradation, providing an effective prognostic variable. In order to measure these characteristics, a relay-based feedback excitation algorithm is developed to estimate the low-frequency intercept in the Nyquist plane of the cell impedance without resorting to a full-fledged EIS.</p> <p>The simulations indicate that the algorithm converges to an estimate within about 5 seconds, and is robust to bias. The algorithm can be run within the standard control system that fuel cells are usually equipped with, with no additional hardware.</p>
Data set for theh paper "Recovery of Polymer Electrolyte Fuel Cell exposed to sulfur dioxide" DOI:10.1016/j.ijhydene.2016.01.077
<p>This Excel file contains the data from the following publication</p> <p><br /> Biraj Kumar Kakatia, Anusree Unnikrishnan, Natarajan Rajalakshmi, RI Jafri, KS Dhathathreyan, Anthony RJ Kucernak</p> <p>Recovery of Polymer Electrolyte Fuel Cell exposed to sulfur dioxideInternational Journal of Hydrogen Energy</p> <p>2016</p> <p>DOI:10.1016/j.ijhydene.2016.01.077</p>
Dataset for paper "Investigation of convective transport in the so-called 'gas diffusion layer' used in polymer electrolyte fuel cell"
<p>Dataset containing all data for figures and supplemental material for the paper:<br /> Investigation of convective transport in the porous media of a fuel cell-like system</p> <p>O. Beruski, T. Lopes, A. R. Kucernak and J. Perez.</p>
Dataset for the paper "A catalyst layer optimisation approach using electrochemical impedance spectroscopy for PEM fuel cells operated with pyrolysed transition metal-N-C catalysts", J Power Sources, 2016, DOI: 10.1016/j.jpowsour.2016.05.035
<p>Data file for paper:"A catalyst layer optimisation approach using electrochemical impedance spectroscopy for PEM fuel cells operated with pyrolysed transition metal-N-C catalysts"</p> <p>Daniel Malko, Thiago Lopes, Edson A. Ticianelli, Anthony Kucernak</p> <p>Journal of Power Sources, 2016</p> <p>DOI: 10.1016/j.jpowsour.2016.05.035</p> <p>Please cite the above paper if you use this data</p>
Data file for the paper "Using corrosion-like processes to remove poisons from electrocatalysts: a viable strategy to chemically regenerate irreversibly poisoned polymer electrolyte fuel cells", Electrochimica Acta 2016, DOI: 10.1016/j.electacta.2016.11.054
<p>Data used in producing the figures in the paper described below</p> <p>If you use this data then please specify as a reference</p> <p>B. K. Kakati, A. R. J. Kucernak, and K Fahy, "Using corrosion-like processes to remove poisons from electrocatalysts: a viable strategy to chemically regenerate irreversibly poisoned polymer electrolyte fuel cells "Electrochimica ActaDOI: 10.1016/j.electacta.2016.11.054</p> <p>Supported by funding from the Engineering and Physical Sciences Research Council under project EP/I037024/1 and the Technology Strategy board under the IDP11 framework for project 102283. </p>
The fractal nature of the three-phase boundary: A heuristic approach to the degradation of nanostructured solid oxide fuel cell anodes
<p>Data underpinning figures and analysis as well as a greyscale tomographic dataset</p>
Dataset for the paper "Nanostructured Catalyst Layer Allowing Production of Ultralow Loading Electrodes for Polymer Electrolyte Membrane Fuel Cells with Superior Performance" published in ACS Appl. Energy Mater.
<p>The data in this spreadsheet was used to produce the figures in the paper</p><p>Authors:</p><p>Colleen Jackson, Michalis Metaxas, Jack Dawson, Anthony Kucernak</p><p>Title:</p><p>Nanostructured Catalyst Layer Allowing Production of Ultralow Loading Electrodes for Polymer Electrolyte Membrane Fuel Cells with Superior Performance</p><p>Journal:</p><p>ACS Appl. Energy Mater. </p><p>DOI:</p><p>10.1021/acsaem.3c01987</p><p>Please cite the above reference if you wish to use this data</p><p>DOI of data:</p><p>10.5281/zenodo.10256698</p>
A high-performance Ni-CeO2/Ni/Ni-Y2O3·ZrO2 three-layer anode for direct iso-octane feeding of solid oxide fuel cells
<p>Solid oxide fuel cells (SOFCs) directly fed with iso-octane are expected to be power sources of mobile devices and automobiles. However, the conventional anode catalysts nickel (Ni) or cerium oxide (CeO2) used for direct feeding of iso-octane do not suppress carbon deposition or generate high-power. In this study, we investigated the Ni-CeO2/Ni/Ni-yttria-stabilized zirconia (YSZ) three-layer anode to establish the suppression of carbon deposition and high-power generation in the SOFC. The anode consists of a Ni-CeO2 catalyst layer as the top layer, a Ni catalyst layer as the second layer, and a Ni-YSZ catalyst layer as the third layer on top of the electrolyte. The concept of three-layer anode is follows: Fuel reforming occurs in the Ni-CeO2 layer, the reformed H2 or CO is electrochemically oxidized in the Ni-YSZ catalyst layer, and the Ni catalyst middle layer prevents the reaction between YSZ and CeO2. Scanning electron microscopy and electrochemical characterization confirmed carbon deposition suppression and improved power generation. The anode showed no carbon deposition and generated high-power, 600 mA cm−2 and 150 mW cm−2, at 950 °C and a steam/carbon ratio of 3.0. Additionally, we discuss the fuel reforming reactions on the three-layer electrode by the results of exhaust gas analysis.</p>
Dataset for "Investigation of convective transport in the gas diffusion layer used in polymer electrolyte fuel cell"
<p>Dataset to all the figures in the paper (including Supplementary Material):</p> <p>Investigation of convective transport in the gas diffusion layer used in polymer electrolyte fuel cell</p> <p>Beruski, O., Lopes, T., Kucernak, A. R., Perez, J.</p> <p>Phys. Rev. Fluids, 2, 103501, 2017.</p> <p> </p>
Illustrative materials for presentation B1113, European Fuel Cell Forum 2024, Lucerne, Switzerland.
<p>Internal EIS data file (text): 18eis1_700c_cc-6a_180h2o+20h2+500air.eisdf</p> <p>Formal equivalent circuit model file (text): 18_drt20240502085244.eism</p> <p>Equivalent circuit model file (text): 18_eqc20240502090321.eism</p> <p>DRT report: 18_drt20240502085232.xlsx</p> <p>Augmented DRT report: 18aug_drt20240502092610.xlsx</p> <p>Equivalent circuit fit report: 18_eqc20240502090124.xlsx<br><br></p>
OpenFoam model output for "A Fuel Cell Power Supply System Equipped with Artificial Gill Membranes for Underwater Applications"
<p>Dataset of numerical experiments carried out with OpenFOAM v 10 as used in the manuscript "A Fuel Cell Power Supply System Equipped with Artificial Gill Membranes for Underwater Applications" by Lucas Merckelbach and Prokopios Georgopanos.</p> <p> </p>
Rainwater-driven microbial fuel cells for power generation in the remote areas' raw data
<p>The possibility of utilizing rainwater as a sustainable anolyte in an air-cathode microbial fuel cell is investigated in this study. The results indicate that the proposed microbial fuel cell can work within a wide temperature range (from 0 to 30 oC), and under aerobic or anaerobic conditions. However, the rainwater season has a distinct impact. Under anaerobic conditions, the summer rainwater achieves a promised open circuit potential of 553±2 mV without addition of nutrients at the ambient temperature, while addition of nutrients leads to increase the cell voltage to 763±3 and 588±2 mV at 30 oC and ambient temperature, respectively. The maximum open circuit potential for the winter rainwater (492±1.5 mV) is obtained when the reactor is exposed to the air (aerobic conditions) at ambient temperature. Furthermore, the winter rainwater microbial fuel cell generates a maximum power output of 7±0.1 mWm-2 at a corresponding current density value of 44±0.7 mAm-2 at 30 oC. While, at the ambient temperature, the maximum output power is obtained with the summer rainwater (7.2±0.1 mWm-2 at 26±0.5 mAm-2). Moreover, investigation of the bacterial diversity indicates that lactobacillus sp. is the dominant electroactive genus in the summer rainwater, while in the winter rainwater, Staphylococcus sp. is the main electroactive bacteria. The cyclic voltammetry analysis confirms that the electrons are delivered directly from the bacterial biofilm to the anode surface and without mediators. Overall, the study opens a new avenue for utilizing a novel sustainable type of microbial fuel cell derived by rainwater.</p>
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OpenNeuro
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