Banca de QUALIFICAÇÃO: VANESSA SANTANA SILVA FAVACHO

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : VANESSA SANTANA SILVA FAVACHO
DATE: 26/06/2025
TIME: 14:00
LOCAL: Sala do Meeeting - virtual
TITLE:

Hydrogen production from dry methane reforming using LaNiO3 perovskites as catalytic precursors: from bibliometric analysis to machine learning

KEY WORDS:

H2 production; dry reforming of methane; perovskites; design of experiments; machine learning

 

PAGES: 421
BIG AREA: Engenharias
AREA: Engenharia de Materiais e Metalúrgica
SUBÁREA: Materiais Não-Metálicos
SPECIALTY: Cerâmicos
SUMMARY:

Dry reforming of methane (DRM) is a catalytic reaction that uses two greenhouse gases (CH4 and CO2) to produce syngas, a mixture of H2 and CO. A bibliometric analysis on perovskites synthesized by the hydrothermal method was carried out and revealed that LaNiO3 has been employed as a catalytic precursor in DRM. However, this bibliometric analysis also showed a scarcity of studies directly relating synthesis parameters to morphology and catalytic activity. Therefore, the objective of this study is to investigate the influence of variables such as pH (9–13), time (6–24 h), temperature (160–200 °C), pressure (autogenous–85 bar), and the use of soft templates (cetyltrimethylammonium bromide and citric acid) on the morphology of LaNiO3 synthesized via the hydrothermal method, and to evaluate the relationship between these parameters and performance in DRM. A preliminary study indicated that pH is a key variable in the synthesis of LaNiO3,
influencing particle morphology and, consequently, catalytic performance. Based on the bibliometric analysis and the preliminary results, a full factorial design of experiments (DoE) combined with machine learning (ML) was applied to explore the interactions between synthesis and reaction variables, as well as catalyst properties and performance. The results showed that the DRM reaction temperature was the most significant factor affecting catalytic performance, with higher temperatures (800 °C) leading to greater H2 yields (74–80%). Moreover, higher reaction temperatures also resulted in lower carbon deposition; however, the deposited carbon was more ordered (ID/IG = 0.56–0.79) and more crystalline (48–68 nm), making its removal and catalyst regeneration more difficult. The synthesis pH also proved to be a fundamental variable, where a more alkaline pH (13) positively influenced H2 yield (up to 10% higher) and negatively impacted carbon deposition (>57 wt%). The highest H2 yields were observed in catalysts containing LaNiO3 contents between 20% and 100% and crystallite sizes ranging from 25 to 35 nm. The highest carbon depositions were observed in catalysts with high LaNiO3 content (60–100%), small crystallite sizes (<30 nm), high reduction degrees (>55%), and low reduction temperatures (<540 °C). Finally, the synergistic effect between pH and
synthesis pressure was also evaluated, identifying that the sample synthesized at pH 9 under 85 bar exhibited the best performance, with high H2 yield (76–77%) and moderate carbon deposition (20.43 wt%).

 

COMMITTEE MEMBERS:
Presidente - 349770 - DULCE MARIA DE ARAUJO MELO
Interno - 1883170 - MAURICIO ROBERTO BOMIO DELMONTE
Externa ao Programa - 1979301 - RENATA MARTINS BRAGA - UFRNExterna à Instituição - BRUNA RÊGO DE VASCONCELOS - UDS
Externo à Instituição - RODOLFO LUIZ BEZERRA DE ARAÚJO MEDEIROS - UFRN