Multiscale modeling of non-catalytic gas-solid reactions applied to the hydrogen direct reduction of iron ore in moving-bed reactor-Reference-Cited by-同舟云学术

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Multiscale modeling of non-catalytic gas-solid reactions applied to the hydrogen direct reduction of iron ore in moving-bed reactor

Published:2024-04 Issue: Volume:62 Page:1214-1230
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Metolina Patrícia^ORCID,Nunis da Silva André Luiz^ORCID,Dixon Anthony G.^ORCID,Guardani Roberto^ORCID

Funder

Fundacao de Amparo a Pesquisa do Estado de Sao Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Reference52 articles.

1. Iron and steel technology roadmap,2023

2. Iron and steel technology roadmap – analysis,2020

3. Green hydrogen‐based direct reduction for low‐carbon steelmaking;Rechberger;Steel Res Int,2020

4. Zero by 2050 - a roadmap for the global energy sector,2021

5. Application of liquid hydrogen carriers in hydrogen steelmaking;Andersson;Energies,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Random pore model insights into structural and operational parameters for hydrogen-based iron oxide reduction;Process Safety and Environmental Protection;2024-10

2. Particle-resolved computational modeling of hydrogen-based direct reduction of iron ore pellets in a fixed bed. Part I: Methodology and validation;International Journal of Hydrogen Energy;2024-10

3. Multi-dimensional CFD-Mask R-CNN and CFD-watershed segmentation approach for multiphase non-catalytic gas-solid reactions: A case study for hydrogen reduction of porous iron oxide pellets;Chemical Engineering Journal;2024-09

4. Modeling of Gaseous Reduction of Iron Oxide Pellets Using Machine Learning Algorithms, Explainable Artificial Intelligence, and Hyperparameter Optimization Techniques;steel research international;2024-06-11

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