Influence of flow configuration on heat-up and start-up processes of multi-channel solid oxide fuel cell: A comprehensive multi-criteria study

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: 264, P. 125526 - 125526

Published: Jan. 12, 2025

Language: Английский

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Green Ammonia Unleashed: Cutting-Edge Electrochemical Synthesis, Catalyst Innovations, and SOFC Integration for a Sustainable Energy Future─A Review and Perspectives

Energy & Fuels, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Green ammonia emerges as an important candidate for the transition toward sustainable energy solutions to address global imperative carbon neutrality. The current review explores electrochemical synthesis of and its integration into Solid Oxide Fuel Cells (SOFCs) while also challenging traditional method, known substantial consumption considerable footprint. specific advances covered in this article include lithium cycling, electromagnetic fields, plasma technology used ammonia. Innovations have resulted from development efficient single-atom, transition-metal- alloy-based bismuth-based catalysts. In background, paper analyzes advancements made application within SOFCs, emphasizing advancement nickel-based catalysts decomposition technologies that improve both efficiency durability these systems operational settings. This presents a compelling perspective on their potential critical challenges storage, emissions reduction, low-carbon future.

Language: Английский

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Performance prediction of tubular segmented-in-series SOFCs: An equivalent steady model for degradation

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 111, P. 751 - 766

Published: Feb. 27, 2025

Language: Английский

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Progress in methane-based solid oxide fuel cells: Challenges for clean and efficient utilization from natural gas

Fuel, Journal Year: 2025, Volume and Issue: 395, P. 135211 - 135211

Published: March 30, 2025

Language: Английский

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Parameter Identification of Solid Oxide Fuel Cell Using Teaching-Learning Based Collective Intelligence

SAE technical papers on CD-ROM/SAE technical paper series, Journal Year: 2025, Volume and Issue: 1

Published: April 1, 2025

<div class="section abstract"><div class="htmlview paragraph">The accurate extraction of internal operating parameters associated with multi-physicochemical processes forms the basis for precise modelling solid oxide fuel cells (SOFCs), which serves as foundation predicting performance degradation and estimating lifespan SOFCs. In this work, a novel integration teaching-learning based optimization (TLBO) collective intelligence (CI), referred algorithm (TLBCI), is introduced. This utilizes diverse characteristic patterns, including current-voltage (I-V) curves sequential output data, to enhance overall identification process. Experimental data was gathered from 3-cell SOFC short stack during 640-hour durability test. The proposed parameter employs framework, wherein sub-optimizers are on genetic (GA) individually tasked processing specific formats cell characteristics identifying their time-dependent changes. After each iteration, all undergo an assessment evaluate prediction accuracy respect current, voltage, rate respectively. Within TLBO individuals lower results designated “students,” whereas best individual in better performing sub-optimizer assumes role “teacher.” students engage process learning teacher individual, thereby augmenting precision collection across voltage metrics. Compared several state-of-the-art algorithms previously employed SOFCs, TLBCI achieves superior both current decline, well performance, high degree quantified by mean squared error (MSE) less computation time.</div></div>

Language: Английский

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Designing tortuous gas diffusion path for hydrogen oxidation reaction and stability of solid oxide fuel cell: An engineered microstructural aspect in anode functional layer

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 87, P. 1140 - 1154

Published: Sept. 14, 2024

Language: Английский

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Cobalt‐Free High‐Entropy Perovskite La_0.2Pr_0.2Nd_0.2Sm_0.2Sr_0.2FeO_3–δ Solid Oxide Cell Air Electrode With Enhanced Performance

Fuel Cells, Journal Year: 2024, Volume and Issue: 24(3)

Published: June 1, 2024

ABSTRACT This study investigates the novel cobalt‐free high‐entropy perovskite, La 0.2 Pr Nd Sm Sr FeO 3–δ (LPNSSF), as an air electrode material for solid oxide cells (SOCs). When testing a button cell with single‐phase LPNSSF electrode, current density of 0.55 A cm −2 is obtained at 0.7 V in fuel mode 800°C. In order to mitigate moderate electronic conductivity LPNSSF, two approaches are explored. Incorporating Co‐free highly conductive LaNi 0.6 Fe 0.4 O (LNF), either LPNSSF–LNF composite or collector layer (CCL), enhances performance 0.61 and 0.66 , respectively, under same conditions. Microstructural features studied by electron microscopy show rather dense structure CCL. Optimization increases further 0.96 5 × 2 anode‐supported exhibits good long‐term stability electrolysis H ‐H 80% humidification. Continuous polarization −0.69 sustained 1000 h, average degradation rate 10 mV kh −1 after initial run‐in phase. These findings demonstrate promising durability SOC electrode.

Language: Английский

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A parametric analysis of the long term performance of a solid oxide fuel cell anode

International Journal of Heat and Fluid Flow, Journal Year: 2024, Volume and Issue: 110, P. 109583 - 109583

Published: Sept. 26, 2024

Language: Английский

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