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Erschienen in: Clean Technologies and Environmental Policy 3/2024

19.12.2023 | Review

Development of photoelectrochemical water splitting photoanode: bibliometric analysis and artificial intelligence advancement

verfasst von: Hadiyawarman, Nick Wisely, Muhammad Iqbal, Gerald Ensang Timuda, Nono Darsono, Brian Yuliarto, Deni Shidqi Khaerudini

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 3/2024

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Abstract

Amid the rapid evolution of renewable energy, the significance of green hydrogen is growing substantially. Hydrogen is the inevitable future of fuel, where its green production remains a challenge. Photoelectrochemical water splitting (PEC-WS) is the most promising green hydrogen production method utilizing the abundance of both Sun energy and water as the main advantages. However, studies scrutinizing PEC-WS from bibliometric analysis and visual perspectives remain scarce. This research endeavors to illuminate the prevailing landscape of PEC-WS via journal visualization analysis and to foster an enriched comprehension of the ongoing trajectory by means of a comprehensive bibliometric evaluation encompassing Scopus bibliometric databases from diverse relevant journals. Our assessment encompassed a corpus of 2903 articles sourced from 72 reputable journals spanning the years from 1981 to August 22, 2023, encapsulating a 42-year period. Over this span, we meticulously scrutinized various parameters including annual advancements, keyword co-occurrence, global participation, funding sponsors, impactful articles, and recent strides in photoanode materials. The findings reveal the growing interest in research in photoanode materials for PEC-WS since 2011. The analysis also identifies key research trends, notably the increasing focus on earth-abundant materials to achieve high solar-to-hydrogen (STH) efficiency. Additionally, this study sheds light on the growing interest in the integration of artificial intelligence (AI) to expedite the development of PEC-WS photoanodes, marking a pivotal advancement in materials discovery and optimization. In the realm of research output, China plays a prominent dual role as both the most contributive country and a leading funding sponsor. We suggest that these research findings are able to influence educational programs, industry reports, policymakers, and funding initiatives.

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Literatur
Zurück zum Zitat Das S, et al (2020) Machine learning in materials modeling—fundamentals and the opportunities in 2D materials. In: Synthesis, modeling, and characterization of 2D materials, and their heterostructures. Elsevier, pp 445–468 Das S, et al (2020) Machine learning in materials modeling—fundamentals and the opportunities in 2D materials. In: Synthesis, modeling, and characterization of 2D materials, and their heterostructures. Elsevier, pp 445–468
Zurück zum Zitat I. E. Agency (2021) Photovoltaic power systems programme, Annual Report 2021. IEA, 2021 I. E. Agency (2021) Photovoltaic power systems programme, Annual Report 2021. IEA, 2021
Zurück zum Zitat Sánchez-Albores RM, Reyes-Vallejo O, Ríos-Valdovinos E, Fernández-Madrigal A, Pola-Albores F (2023) Analysis and characterization of BiVO4/FeOOH and BiVO4/α-Fe2O3 nanostructures photoanodes for photoelectrochemical water splitting. J Mater Sci Mater Electron 34(11):1001. https://doi.org/10.1007/s10854-023-10382-1CrossRef Sánchez-Albores RM, Reyes-Vallejo O, Ríos-Valdovinos E, Fernández-Madrigal A, Pola-Albores F (2023) Analysis and characterization of BiVO4/FeOOH and BiVO4/α-Fe2O3 nanostructures photoanodes for photoelectrochemical water splitting. J Mater Sci Mater Electron 34(11):1001. https://​doi.​org/​10.​1007/​s10854-023-10382-1CrossRef
Zurück zum Zitat Tang J, Durrant JR, Klug DR (2008) Mechanism of photocatalytic water splitting in TiO2. Reaction of water with photoholes, importance of charge carrier dynamics, and evidence for four-hole chemistry. J Am Chem Soc 130(42):13885–13891. https://doi.org/10.1021/ja8034637CrossRef Tang J, Durrant JR, Klug DR (2008) Mechanism of photocatalytic water splitting in TiO2. Reaction of water with photoholes, importance of charge carrier dynamics, and evidence for four-hole chemistry. J Am Chem Soc 130(42):13885–13891. https://​doi.​org/​10.​1021/​ja8034637CrossRef
Zurück zum Zitat van Eck NJ, Waltman L (2014) “Visualizing Bibliometric Networks”, in Measuring Scholarly Impact. Springer International Publishing, Cham, pp 285–320 van Eck NJ, Waltman L (2014) “Visualizing Bibliometric Networks”, in Measuring Scholarly Impact. Springer International Publishing, Cham, pp 285–320
Zurück zum Zitat Wolf E (2015) Large-scale hydrogen energy storage. In: Electrochemical energy storage for renewable sources and grid balancing, Elsevier, pp 129–142 Wolf E (2015) Large-scale hydrogen energy storage. In: Electrochemical energy storage for renewable sources and grid balancing, Elsevier, pp 129–142
Metadaten
Titel
Development of photoelectrochemical water splitting photoanode: bibliometric analysis and artificial intelligence advancement
verfasst von
Hadiyawarman
Nick Wisely
Muhammad Iqbal
Gerald Ensang Timuda
Nono Darsono
Brian Yuliarto
Deni Shidqi Khaerudini
Publikationsdatum
19.12.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Clean Technologies and Environmental Policy / Ausgabe 3/2024
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI
https://doi.org/10.1007/s10098-023-02686-x

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