Comprehensive evaluation of a gas turbine-based multi-generation system for power, heating, cooling, freshwater, hydrogen and ammonia: 4E assessment and multi-objective optimization with RSM desirability approach

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122900 - 122900

Опубликована: Март 1, 2025

Язык: Английский

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Comparative study on the performance of proton exchange membrane electrolyzer with nickel foam as flow channel ribs

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 117, С. 337 - 352

Опубликована: Март 17, 2025

Язык: Английский

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An Electrochemically‐Driven Reconstruction Strategy to Realize Highly Crystalline Covalent Organic Frameworks for Enhanced Hydrogen Evolution Reaction

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Март 19, 2025

Abstract Developing diverse methods to approach highly crystalline covalent organic frameworks (COFs) for improvement of their electrocatalytic hydrogen evolution reaction (HER) activity is important but very challenging. Herein, the first time, an electrochemically‐driven reconstruction strategy demonstrated convert semi‐polymerized low‐crystalline COFs into crystalline, structurally ordered with enhanced HER activity. In situ and ex characterizations reveal that cyclic voltammetry (CV) cycles can promote crystallinity, thereby leading improved conductivity, increased active site density, superior stability. As a result, COF achieves low overpotentials 103.6 219.4 mV at 10 50 mA cm −2 , respectively, excellent stability (1200 h ). More importantly, this generalizable effective various imine‐linked different bonding types, significantly improving crystallinity This work not only establishes novel method constructing also demonstrates versatility electrochemically driven structural modulation in enhancing catalytic performance COFs.

Язык: Английский

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Optimization of bi-dispersed porous catalysts for methane super dry reforming via a particle-resolved simulation

Particulate Science And Technology, Год журнала: 2025, Номер unknown, С. 1 - 12

Опубликована: Март 19, 2025

Methane super dry reforming (MSDR) is a promising technology for sustainable hydrogen production and greenhouse gas utilization. However, its industrial application hindered by high energy demand catalyst deactivation due to carbon deposition. This study aims optimize bi-dispersed porous catalysts MSDR through particle-resolved simulation, focusing on the effects of micropore diameter, macropore fraction, total porosity. A mathematical model incorporating continuity, momentum, species transport, equations was established simulate performance catalysts. Hierarchical pore structures significantly enhance methane dioxide conversion rates, which reach 85% 80% under optimized conditions, respectively. improvement leads increased yield selectivity, while simultaneously reducing Our identifies optimal fractions (0.4) diameters (2 nm) that effectively balance diffusion reaction kinetics, thereby maximizing performance. Tailored hierarchical designs are crucial advancing have great potential industrial-scale production.

Язык: Английский

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An interpretable deep learning framework for photofermentation biological hydrogen production and process optimization

Energy, Год журнала: 2025, Номер 322, С. 135704 - 135704

Опубликована: Март 23, 2025

Язык: Английский

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