Numerical Simulation and Optimization of Methane Steam Reforming to Maximize H2 Production: A Case Study (2023)
- Authors:
- USP affiliated authors: ROMÃO, ESTANER CLARO - EEL ; SIQUEIRA, ADRIANO FRANCISCO - EEL
- Unidade: EEL
- Sigla do Departamento: hydrogen production
- DOI: 10.48084/etasr.5632
- Subjects: optimization; ENGENHARIA QUÍMICA; heat transfer
- Agências de fomento:
- Language: Inglês
- Abstract: Research in renewable energy, the preservation of the environment, and the reduction of energy generation costs are themes that go hand in hand. In this work, a case study was carried out that aims to maximize the production of hydrogen through Methane Steam Reforming. For this, several numerical simulations, considering a laminar flow regime in a chemical reactor with a catalyst, were developed with COMSOL Multiphysics. After an exploratory study of the data, a systematic optimization was developed using multivariate regression models formed by combinations of input parameters in an idealized reactor. The results showed that the proposed approach is capable of satisfactory optimization.
- Imprenta:
- Publisher: Etasr
- Publisher place: Califórnia-USA
- Date published: 2023
- Source:
- Título: Etasr - engineering, technology & applied science research
- ISSN: 1792-8036
- Volume/Número/Paginação/Ano: v.13, n.2, p.10255-10260, 2023
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
ROMÃO, Érica Leonor e SIQUEIRA, Adriano Francisco e MARTINS, Jairo Aparecido. Numerical Simulation and Optimization of Methane Steam Reforming to Maximize H2 Production: A Case Study. Etasr - engineering, technology & applied science research, v. 13, n. 2, p. 10255-10260, 2023Tradução . . Disponível em: https://doi.org/10.48084/etasr.5632. Acesso em: 07 abr. 2026. -
APA
Romão, É. L., Siqueira, A. F., & Martins, J. A. (2023). Numerical Simulation and Optimization of Methane Steam Reforming to Maximize H2 Production: A Case Study. Etasr - engineering, technology & applied science research, 13( 2), 10255-10260. doi:10.48084/etasr.5632 -
NLM
Romão ÉL, Siqueira AF, Martins JA. Numerical Simulation and Optimization of Methane Steam Reforming to Maximize H2 Production: A Case Study [Internet]. Etasr - engineering, technology & applied science research. 2023 ;13( 2): 10255-10260.[citado 2026 abr. 07 ] Available from: https://doi.org/10.48084/etasr.5632 -
Vancouver
Romão ÉL, Siqueira AF, Martins JA. Numerical Simulation and Optimization of Methane Steam Reforming to Maximize H2 Production: A Case Study [Internet]. Etasr - engineering, technology & applied science research. 2023 ;13( 2): 10255-10260.[citado 2026 abr. 07 ] Available from: https://doi.org/10.48084/etasr.5632 - Investigating Efficient Thermal Distribution in a House Room by combining Statistics with Computational Fluid Dynamics
- Matemática em Jogo:: Explorando Conceitos do 1º Ano do Ensino Médio
- Simplified Model for Concentration Analysis of Catalytic Conversion of Carbon Gas into Hydrogen
- Aprendizagem Baseada em Projetos no Ensino Médio: Estudo Comparativo entre Métodos de Ensino.
- Processo de exclusão simples totalmente assimétrico
- Processo KLS
- The Importance of Accurate Boundary Condition in Obtaining Reliable Shearing Stresses on a Torsional Finite Element Simulation
- Assessing the Impact of Changes on Design and Material of Howe Bridgesby Finite Element Analysis
- Managing individuals, collectiveness and environment in Decision Making Process for Businesses (an unpretentious approach)
- A importância do uso da tecnologia no ensino de geometria: planejamento e plano de aula
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
