Electrosynthesizing high-value fuels from CO2 in solid oxide electrolysis cells: Fundamentals, advances, and perspectives DOI
Ming Yang, Linbo Liu, Shuo Liu

и другие.

Chinese Chemical Letters, Год журнала: 2024, Номер unknown, С. 110603 - 110603

Опубликована: Ноя. 1, 2024

Язык: Английский

A comprehensive review on hydrogen production, storage, and applications DOI
Chamila Gunathilake,

Ibrahim Soliman,

Dhruba Panthi

и другие.

Chemical Society Reviews, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

There is a need for zero or low-carbon fuels that can produce electricity, power vehicles, and support industry. This review presents production, storage, applications of hydrogen with emphasis on decarbonization transportation.

Язык: Английский

Процитировано

20

Novel High‐Entropy Air Electrodes Enhancing Electrochemical Performances of Reversible Protonic Ceramic Cells DOI Open Access
Xiaohan Zhang, Chunmei Tang, Yilin Yang

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 19, 2025

Abstract Reversible protonic ceramic cells (R‐PCCs) have been in the spotlight as prominent electrochemical devices for green hydrogen production and utilization. The design of efficient air electrodes is critical enhancing cell performances, requiring high hydration ability, excellent catalytic activities, appropriate thermal expansion coefficients (TEC). Herein, novel high‐entropy oxides La(Co 0.2 Cu Fe Ni Me )O 3– δ (Me = Al, Mn, Cr) featuring five cations at B‐site ABO 3 perovskite are presented. Cr (LCCFN‐Cr) catalyst exhibits best proton incorporation ability activities among three oxides, concluded by analyzing oxygen vacancy concentration chemical bond information. Moreover, effect reduced TEC this Co‐contained oxide to a modest extent through large‐ratio substitution Co other cations. When applied an electrode, BaZr 0.6 Ce Y 0.1 Yb O electrolyte‐based R‐PCCs yielded current density 2.14 A cm −2 peak power 0.60 W , with extremely low polarization resistance 0.05 Ω 2 650 °C. These findings not only provide electrode R‐PCCs, but also demonstrate pathway effective catalysts energy conversion integrating advantages effect.

Язык: Английский

Процитировано

2

Introduction to Green Hydrogen DOI Creative Commons
Shannon W. Boettcher

Chemical Reviews, Год журнала: 2024, Номер 124(23), С. 13095 - 13098

Опубликована: Дек. 11, 2024

Язык: Английский

Процитировано

11

Divulging the potential role of wide band gap semiconductors in electro and photo catalytic water splitting for green hydrogen production DOI
Athira Krishnan,

K. Archana,

A.S. Arsha

и другие.

CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION), Год журнала: 2025, Номер 68, С. 103 - 154

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Metal-organic-framework-derived dual-atom catalysts: from synthesis to electrocatalytic applications DOI
Xiaoqin Xu, Jingqi Guan

Materials Science and Engineering R Reports, Год журнала: 2024, Номер 162, С. 100886 - 100886

Опубликована: Ноя. 23, 2024

Язык: Английский

Процитировано

7

Recent Progress in Sr2Fe1.5Mo0.5O6‐δ‐Based Multifunctional Materials for Energy Conversion and Storage DOI Open Access
Hainan Sun, Xiaomin Xu, Yufei Song

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Авг. 1, 2024

Abstract Perovskite oxides, particularly double perovskite have drawn significant research interest within the fields of solid‐state chemistry and materials science. As a quintessential oxide, Sr 2 Fe 1.5 Mo 0.5 O 6‐δ (SFM) has unique electronic, magnetic, catalytic properties. These attributes make it promising candidate for energy conversion storage applications. This review offers comprehensive overview advancements using SFM across various applications, including solid oxide cells, protonic ceramic electrocatalysis. Notably, highlights emerging optimization strategies that enhance functionality based on fundamental understanding reaction mechanisms. The concludes by discussing persistent challenges facing SFM‐based functional materials, as well their prospects, considering both industrial

Язык: Английский

Процитировано

6

Industrial Perspective of Electrified Ethylene Production via Membrane-Assisted Nonoxidative Dehydrogenation of Ethane DOI Creative Commons
Jord P. Haven,

Simon Haanschoten,

Leon Lefferts

и другие.

ACS Sustainable Chemistry & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Фев. 9, 2025

The potential of applying ceramic proton-conducting electrolysis cell (PCEC) membranes in ethylene production processes was explored this work. To end, the techno-economics a PCEC-assisted ethane dehydrogenation process were compared against conventional steam cracking (SC) process. PCEC required four to five times more electricity than SC Consequently, fully renewable needed be utilized outcompete terms carbon dioxide emissions. Notably, financially and environmentally competitive with only when achieving similar yields (ca. 50%). For an yield ca. 25%, which is currently achievable using technologies, capital investment emissions too excessive electrified SC. total energy usage, utility demand, substantially higher for 25% case as 50% one, due larger streams units result lower single-pass yield. results further highlighted that could reduced from 1.5 tCO2/tethylene 0.2 employing green or instead fossil fuel-based SC, but if utilized. Moreover, tax 100 USD/tCO2 would need imposed make viable their fossil-based counterparts. Lastly, technological challenges related attainable yield, stability, large-scale sustainable PCECs, continuous availability identified main hurdles industrial implementation PCECs production.

Язык: Английский

Процитировано

0

Mechanistically Interpretable AI for Accelerated Energy Materials Design DOI Creative Commons
Meilin Liu,

Xueyu Hu,

Ke Liao

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Март 21, 2025

Abstract Breakthroughs in energy materials stem from a systematic understanding of catalytic activity and stability at the atomic scale. However, growing complexity real-world applications, conflicting material characterization metrics, overwhelming volume experimental data pose significant challenges identifying fundamental structure-property relationships translating them into transformative advancements. While informatics data-driven approaches have accelerated discovery, their effectiveness is often hindered by dataset bias, limited interpretability, poor generalizability. To address these challenges, we developed Two-Stage Material Screening framework, integrating high-throughput computations, standardized experiments, active learning to systematically explore vast chemical space 6,940,032 candidates, 4,287 promising electrocatalysts. By leveraging SHAP-based analysis, revealed pivotal role d-p band hybridization oxygen reduction reaction electrocatalysis, effectively linking theoretical insights with validation. Notably, protonic ceramic electrochemical cells incorporating five most electrocatalysts exhibited record-breaking peak power density 2.68 W cm2 600 °C – 35% higher than previous benchmarks while maintaining exceptional durability over 500 hours. Our AI-driven approach accurately predicts properties, reveals critical insights, accelerates validation, significantly advancing design.

Язык: Английский

Процитировано

0

How AI guided the development of green hydrogen production: in the case of solid oxide electrolysis cell? DOI Open Access
Baoyin Yuan, Xiaohan Zhang, Tang Chun-mei

и другие.

Journal of Materials Informatics, Год журнала: 2025, Номер 5(2)

Опубликована: Март 22, 2025

The development of efficient and stable hydrogen production technologies is crucial for global clean energy transition. Solid oxide electrolysis cells (SOECs) have emerged as a promising technology green due to their high efficiency, low-cost catalysts, excellent adaptability renewable sources. However, significant challenges remain in materials design, interface engineering, system integration. This perspective reviews recent advances artificial intelligence (AI)-guided SOEC development, focusing on machine learning approaches design key materials. Furthermore, we highlight how AI can address the both single-cell performances system-level integration with Looking forward, outline strategic directions advancing AI-driven toward commercial implementation, which may offer valuable insights experiences within field conversion storage.

Язык: Английский

Процитировано

0

Local lattice distortion regulation in high entropy engineering to enhance the triple conductivity of layered Ruddlesden-Popper perovskite cathode in H+-SOFCs DOI
Kai Kang, Yihui Liu, Xu Liu

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 159463 - 159463

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0