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Dataset results
7 results for “SOFC”
Pareto front of the Bio-SOFC plant (Case 5) optimization
<p>Datasets of the article "Techno-Economic Optimization of an Integrated Biomass Waste Gasifier–Solid Oxide Fuel Cell Plant".</p> <p>With a growing energy demand in a carbon-constrained society, fuels cells powered by renewable fuels, and specifically solid waste, are seen as interesting contributors to the energy portfolio. The alternative energy industry needs to reduce costs, enhance efficiency, and demonstrate durability and reliability to be economically feasible and attractive. This paper addresses biomass waste gasification in distributed energy systems, using a solid oxide fuel cell (SOFC) to produce electricity and heat. The potential and optimal plant efficiency and layout (i.e., anode off-gas (AOG) recirculation point <em>via</em> small-scale turbomachinery and heat exchanger network) are analyzed through a multi-stage approach that includes scenario evaluation and multi-objective optimization <em>via</em> a hybrid optimization strategy with heuristics and mathematical programming. The results in this paper summarize the most convenient operating conditions and provide an optimized heat exchanger network (HEN). The AOG recirculation toward the gasifier combustor is the preferred option; the electrical and thermal efficiencies can separately go up to 49 and 47%, respectively. The combined total efficiency ranges between 76 and 82%, and the area of heat exchange, which corresponds to an amount of heat exchanged between 91 and 117 kW, is within 6–14 m<sup>2</sup>.</p>
Enhanced diffusion barrier layers for avoiding degradation in SOFCs aged for 14000 h during 2 years
<p>The dataset contains all the data used for the publication called Enhanced diffusion barrier layers for avoiding degradation in SOFCs aged for 14000 h during 2 years, Bernadet et al., Journal of Power Sources, 555, 2023, 232400 (10.1016/j.jpowsour.2022.232400) as well as for the supplementary information.</p> <p>Data is labeled with the figure number-letter and sample type.</p> <p>All the figures related to the nano-XRF data (Fig4, FigS1-4) were obtained from the same dataset, shared for Fig4 and FigS1.</p>
Dataset - Biomass Steam Gasification, High-Temperature Gas Cleaning, and SOFC Model: A Parametric Analysis
<p>Dateset of the Article "Biomass Steam Gasification, High-Temperature Gas Cleaning, and SOFC Model: A Parametric Analysis".</p> <p>Effect of S/B ratio on syngas; Effect of the S/B ratio on electrical efficiency; Effect of the S/B ratio on current density; Effect of the current density on cell voltage; Effect of the current density on power density; Effect of the current density on electrical efficiency; Influce of CO concentration on SOFC power production; Influce of the air flow rate to the cathode on SOFC power production.</p> <p>Gasification technology is actually one of the most effective ways to produce power and hydrogen from biomass. Solid oxide fuel cells (SOFCs) have proved to be an excellent energy conversion device. They can transform the chemical energy content in the syngas, produced by a gasifier, directly into electrical energy. A steady-state model of a biomass-SOFC was developed using process simulation software, ASPEN Plus (10, AspenTech, Bedford, MA, USA). The objective of this work was to implement a biomass-SOFC system capable of predicting performance under diverse operating conditions. The system is made of a gasification zone, gas cleaning steps, and SOFC. The SOFC modelling was done without external subroutines, unlike most models in the literature, using only the existing ASPEN Plus blocks, making the model simpler and more reliable. The analysis of the syngas composition out of each cleaning step is in accordance with literature data. Then, a sensitivity analysis was carried out on the main parameters. The results indicate that there must be a trade-off between voltage, electrical efficiency, and power with respect to current density and it is preferable to stay at a low steam-to-biomass ratio. The electrical efficiency achieved under the operating conditions is 57%, a high value, making these systems very attractive.</p> <p><a href="https://doi.org/10.3390/en13225936">https://doi.org/10.3390/en13225936</a></p>
FIB-tomography data of Ni-YSZ anodes for Solid Oxide Fuel Cells (SOFC): Comparison of pristine and degraded materials (before/after redox cycling)
<p><em>Contents: </em></p> <p>This dataset contains 3D image stacks acquired with FIB-tomography from Ni-YSZ cermet anodes for Solid Oxide Fuel Cells (SOFC).</p> <p>The data was collected from three different Ni-YSZ anodes (fine-, medium- and coarse-grained). Each of these anodes was investigated first in pristine state (after sintering and reduction) and then also in degraded state (after exposure to 8 redox cycles).</p> <p>The 6 tomographs are then presented as stacks of 2D-tiff-images in 2 different versions: as gray-scale images (raw data) and as segmented images (Ni=white, YSZ=gray and pores=black). In total this gives 12 image stacks.</p> <p><strong>Further details</strong>, such as the voxel resolutions and image window sizes are listed in the downloadable excel file (<strong>2_3D_Data_Info.xlsx</strong>).</p> <p> </p> <p><em>Scientific Context: </em></p> <p>The microstructures of the cermet anodes were investigated for the purpose of optimizing the anode performance, which depends on effective transport properties (i.e. conductivity of ions in YSZ and of electrons in Ni, as well as diffusivity of fuel/gas in the pores). Furthermore the anode performance also depends on the catalytic/electrochemical activity (i.e. Ni-surface area and three phase boundary length TPBL). The microstructure characteristics have a strong influence on effective properties, electrochemical activity and associated anode performance. Furthermore, microstructure degradation (e.g. by Ni-coarsening) may lead to performance loss over time.</p> <p>Hence, the investigations focus on a fundamental, quentitative understanding of the relationships between microstructure characteristics and effective properties. The study reveals quantitative descriptions of all relevant microstructure characteristics (porosity, tortuosity, constrictivity, surface/interface areas, TPBL) and of the corresponding effective transport porperties (electric and ionic.conductivities). The corresponding anode performance was characterized by impedance spectroscopy.</p> <p>The quantitative <strong>results of the microstructure investigation were published</strong> in:</p> <p><strong>Pecho et al</strong> 2015a (doi:10.3390/ma8095265),</p> <p><strong>Pecho et al</strong> 2015b (doi:10.3390/ma8105370),</p> <p><strong>Holzer et al</strong> 2013 (doi: 10.1016/j.jpowsour.2013.05.047),</p> <p><strong>Holzer et al</strong> 2011a (doi: 10.1016/j.jpowsour.2010.08.017) and</p> <p><strong>Holzer et al</strong> 2011b (doi: 10.1016/j.jpowsour.2010.08.006).</p>
Data collected from interconnect operated 40'000 hours in SOFC mode
<p>Complete set of data acquired from the characterization of interconnect extracted from SOFC stack operated 40'000 hours</p>
Senile Osteoporotic Fractures Cohort Study（SOFCS）
ClinicalTrials.gov study NCT05848167. IPD Sharing: Not stated. Countries: 1. Publications: 0.
SOFC stack tests under representative fuels
<p>Three short stacks from SOLIDpower/SolydEra have been tested within Task 3.4. The main results are<br> presented and discussed in this section. There are similarities between the different tests but as the third test<br> was the most complete, the explanations given in the analysis of the third test give also the most complete<br> description, including of observations mentioned for the first 2 stacks.</p>
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International Brain Laboratory public data
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OpenNeuro
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