Hydrogen Separation via Continuous Hydrate Formation

• Tipo: Capítulo ou Parte de Livro
• Data: 2022

Autores

Fernandes, MAL (Autor) Outra; Domingos, MG (Autor) Outra; Martins, FG (Autor) FEUP; Fernandes, IS (Autor) FEUP; Costa, MF (Autor) Outra; Ricardo J. Santos (Autor) FEUP; José Carlos B. Lopes (Autor) FEUP

Indexação

Scopus

Projetos Associados

LA LSRE-LCM - Financiamento Plurianual 2020-2023 para a Unidade LA LSRE-LCM Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais

Outras Informações

ID Authenticus: P-00X-174

DOI: 10.1016/b978-0-323-95879-0.50057-6

Abstract (EN): According to the International Energy Agency, hydrogen is one of the pillars to reach Net Zero CO2 emissions by 2050. Forecasts indicate a market size of 200 Mton in 2030, of which 35% will be blue hydrogen (IEA, 2021). This work approaches the separation of hydrogen from carbon dioxide, by integrating the Python software environment with Aspen Plus software. Compression and cooling of the feed components to the hydrate formation conditions upstream the NetMIX is modelled in Aspen Plus. In the Python interface, the heat and mass balances associated with the NetMIX are performed, including the Gibbs Energy Minimization algorithm, developed by Ballard (Ballard, 2002) for the prediction of hydrate/liquid/vapor equilibrium. The model developed was applied to a case study, which considers a gas stream of 3300 m3PTN¿h-1, containing 60 % of hydrogen and 40 % of carbon dioxide (molar percentages). The results show an improvement in the purity of H2 in the gaseous stream of nearly 25 %, reaching a value of 84 %, while also a recovery near 62% of CO2 via the hydrate phase is obtained, with30 MJe ¿ m3PTN-1 of electrical demand and 210 MJt ¿ m3PTN-1of cooling demand. © 2022 Elsevier B.V.

Idioma: Inglês

Tipo (Avaliação Docente): Científica