Functionalization of Nanomaterials for Energy Storage and Hydrogen Production Applications

Materials, Год журнала: 2025, Номер 18(4), С. 768 - 768

Опубликована: Фев. 10, 2025

This review article provides a comprehensive overview of the pivotal role that nanomaterials, particularly graphene and its derivatives, play in advancing hydrogen energy technologies, with focus on storage, production, transport. As quest for sustainable solutions intensifies, use nanoscale materials to store solid form emerges as promising strategy toward mitigate challenges related traditional storage methods. We begin by summarizing standard methods producing modified derivatives at their impact structural characteristics properties. The highlights recent advancements capacities achieved through innovative nanocomposite architectures, example, multi-level porous structures containing embedded nickel particles dimensions. discussion covers distinctive these expansive surface area spillover effect, which enhance effectiveness applications, including supercapacitors batteries. In addition capabilities, this explores nanomaterials efficient catalysts evolution reaction (HER), emphasizing potential metal oxides other composites boost production. integration transport systems is also examined, showcasing innovations safety efficiency. we move economy, underscores urgent need continued research aimed optimizing existing developing novel nanostructured systems. Addressing primary future directions, aims serve roadmap enable scientists industry experts maximize capabilities transforming hydrogen-based systems, thus contributing significantly global sustainability efforts.

Язык: Английский

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Research on the Safety Risk Analysis Framework and Control System for Multi-Type New Energy Storage Technologies

Energies, Год журнала: 2025, Номер 18(4), С. 798 - 798

Опубликована: Фев. 8, 2025

In the context of global energy landscape restructuring driven by “dual-carbon” goals, new storage technologies have emerged as a critical enabler for transformation and development power system. However, these advance market expands, ensuring safety remains significant long-term challenge. This paper focuses on risk prevention control systems. It systematically reviewed various technology pathways their associated potential risks. Furthermore, it analyzed challenges difficulties faced in across different stages projects, including large-scale application, pilot demonstration, R&D reserves. Considering technical uncertainties future storage, this study evaluated risks proposed corresponding strategies measures management. By addressing challenges, aims to safe-guard security reliability technologies, thereby supporting construction robust sustainable

Язык: Английский

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Pechini sol-gel synthesis and fabrication of Er2CrMnO6 double perovskites as a potential active material for electrochemical hydrogen storage application

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 111, С. 648 - 660

Опубликована: Фев. 27, 2025

Язык: Английский

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Poisoning effect of CO on hydrogen storage cycling stability of Mg80Ni16-xAlxY4 (x=2, 4, 8) alloys

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 127, С. 484 - 496

Опубликована: Апрель 15, 2025

Язык: Английский

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Integrating Experimental and Numerical Data for Improved Steam Reforming Simulation with Deep Learning

Journal of Physics Conference Series, Год журнала: 2024, Номер 2812(1), С. 012024 - 012024

Опубликована: Авг. 1, 2024

Abstract In this paper, a data-driven methane steam reforming simulation is developed and used to predict the post-reaction mixture composition. Until today, remains predominant hydrogen production method, yet modeling its complex reactions significant challenge due intricate interplay of process variables. Here, we show an artificial neural network simulator that can effectively model these reactions, offering precise predictions based on parameters like temperature, inlet gas composition, flow, nickel catalyst mass. Our approach data curation integrates experimental, interpolated, theoretically calculated values refining by assessing relative importance each category. Various structures were tested before ultimately identifying optimal architecture with 5-6-8-6-4 structure. The underwent 6000 epochs training, leading demonstrates excellent agreement experimental observations, as evidenced mean squared error 0.000217 Pearson correlation coefficient 0.965. Moreover, all trajectories predicted are characterized smooth course within physical range values. Therefore, work overcomes common in chemical using networks also sets possible direction for future research field.

Язык: Английский

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Recent advances in Co-based catalysts for enhanced hydrogen storage performance of MgH2: Mechanisms and strategies

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 94, С. 351 - 363

Опубликована: Ноя. 12, 2024

Язык: Английский

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