Szczegóły publikacji

Opis bibliograficzny

Coaxial multi-criteria optimization of a methane steam reforming reactor for effective hydrogen production and thermal management / Marcin PAJĄK, Grzegorz BRUS, Shinji Kimijima, Janusz S. SZMYD // Energy and AI [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2666-5468. — 2023 — vol. 13 art. no. 100264, s. 1–15. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 13–15, Abstr. — Publikacja dostępna online od: 2023-05-08

Autorzy (4)

Słowa kluczowe

hydrogengenetic algorithmsteam reformingdesign optimization

Dane bibliometryczne

ID BaDAP147438
Data dodania do BaDAP2023-07-25
Tekst źródłowyURL
DOI10.1016/j.egyai.2023.100264
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaEnergy and AI

Abstract

The advancement in environmental awareness is the recent driving factor of the energy industry development. The market sentiments dictate the commercialization of unconventional energy sources. Thus, generation via hydrogen conversion gains popularity. The presented research regards the enhancement of the steam reforming reaction, used for the production of hydrogen via the conversion of hydrocarbons. The reforming process characterizes by a strong endothermic nature. The rapid course of the reaction leads to the creation of temperature gradients of a considerable magnitude. The presented research strives to alleviate the negative consequences of the reaction character. An original strategy by the name of macro-patterning is suggested as a remedy. The presented research proposes an updated concept, predicting the introduction of coaxial segments to the catalytic insert. The segments may consist of catalytic material or metallic foam applied for local suppression of the reaction. The morphology of specific segments may be altered independently, to allow for additional control of the reforming reaction. The objective of the research is to define the optimal segment composition. The optimization process is based on an in-house procedure implementing a genetic algorithm. The acquired results appear to validate the macro-pattering concept. A significant unification of the temperature field is obtained, with a simultaneous increase in hydrogen productivity.

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Numerical analysis of the catalyst distribution optimization in a steam reforming reactor using genetic algorithm / Marcin PAJĄK, Grzegorz BRUS, Janusz SZMYD // W: CPOTE 2020 [Dokument elektroniczny] : 6th international conference Contemporary Problems of Thermal Engineering : Online, 21-24 September 2020 : book of abstracts / ed. Lucyna Czarnowska. — Wersja do Windows. — Dane tekstowe. — [Gliwice : Silesian University of Technology, Department of Thermal Engineering], [2020]. — e-ISBN: 978-83-61506-54-6. — Ekran [1] CPOTE2020-1055-A. — Tryb dostępu: https://www.s-conferences.eu/cpote2020/BookOfAbstracts/Abstra... [2020-10-12]. — Pełny tekst w: CPOTE 2020 [Dokument elektroniczny] : proceedings of the 6th international conference on Contemporary Problems of Thermal Engineering : Poland, 21–24.09.2020 / ed. by Wojciech Stanek, [et al.]. — [S. l.] : Department of Thermal Technology. Silesian University of Technology, cop. 2020. — e-ISBN: 978-83-61506-54-6. — S. 363--374. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://cpote.blob.core.windows.net/cpote-container/CPOTE2020_proceedings.pdf[2020-12-11]. — Bibliogr. s. 373--374, Abstr.
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#148487Data dodania: 15.9.2023
Optimization of catalyst distribution in small scale steam methane reactor / Krzysztof Makieła, Grzegorz BRUS, Hiroshi Hasegawa // W: SIT - AGH symposium on Energy and environmental engineering : Tokyo, 12-14 July 2023 : book of abstracts / eds. Alicja Klimkowicz, Akito Takasaki. — [Tokyo : Shibaura Institute of Technology], [2023]. — S. 25–26. — Bibliogr. s. 26. — K. Makieła - dod. afiliacja: Shibaura Institute of Technology, Tokya, Japan