Miguel Menéndez Sastre

@article{GONZALEZPIZARRO2026136974,

title = {Tuning e-fuel selectivity in sorption-enhanced CO2 hydrogenation over In2O3/ZrO2: The effect of LTA and FAU zeolites},

author = {R. González-Pizarro and R. Calero-Berrocal and J. Lasobras and S. Renda and M. R. Rodríguez-Pardo and J. Soler and M. Menéndez and J. Herguido},

url = {https://www.sciencedirect.com/science/article/pii/S0016236125026997},

doi = {https://doi.org/10.1016/j.fuel.2025.136974},

issn = {0016-2361},

year  = {2026},

date = {2026-01-01},

journal = {Fuel},

volume = {406},

pages = {136974},

abstract = {The e-fuels synthesis via CO2 hydrogenation and the Sorption Enhanced Reaction technology are captivating strategies for CO2 utilization and the integration of renewable energy sources. This study focuses on enhancing the conversion of CO2 over an In2O3/ZrO2 catalyst by incorporating LTA zeolites (3A and 4A) and a FAU zeolite (13X). Key operational parameters, such as temperature (T), Gas Hour Space Velocity (GHSV), type of zeolite, and Zeolite: Catalyst mass ratio (Z/C), were systematically varied. LTA zeolites (3A and 4A) provided the highest CO2 conversions. The introduction of a water-adsorbing solid into the reactor significantly altered the products yield and selectivity. While the selectivity towards CH4, CH3OH, and C2H6O appeared to lay on the type of zeolite, the selectivity towards CO remained unaffected. Zeolite 3A demonstrated the greatest enhancement in selectivity towards CH4 and CH3OH, whereas the synthesis of C2H6O was favored by zeolites 4A and 13X. The Zeolite:Catalyst mass ratio also played a crucial role in process performance, influencing both CO2 conversion and product selectivity. Increasing this ratio improved CO2 conversion and reduced CO selectivity under all operating conditions, while CH4 selectivity increased. However, the selectivity toward CH3OH and C2H6O exhibited an anomalous and complementary behavior. While a maximum was observed for DME, a minimum was registered in methanol production, suggesting a dependency of the dehydration reaction kinetics on the amount of water produced during the reaction.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RENDA2026120682,

title = {Doped In2O3/ZrO2 catalysts to drive selectivity toward DME in one-pot CO2 hydrogenation},

author = {Simona Renda and Jaime Soler and Miguel Menéndez and Javier Herguido},

url = {https://www.sciencedirect.com/science/article/pii/S0926860X25005848},

doi = {https://doi.org/10.1016/j.apcata.2025.120682},

issn = {0926-860X},

year  = {2026},

date = {2026-01-01},

journal = {Applied Catalysis A: General},

volume = {710},

pages = {120682},

abstract = {This study investigates single-pass dimethyl ether synthesis at mild pressure conditions using novel bifunctional catalysts based on indium-modified formulations and incorporating Ni, Cu, Pt, and Pd as active metals. Additionally, the substitution of the conventional HZSM-5 zeolite with 4A zeolite as the dehydration component was evaluated. Although 4A zeolite exhibited lower dehydration activity, it contributed to an overall improvement in DME selectivity. The incorporation of secondary metals into the In2O3-ZrO2 formulation reduced catalytic activity but enhanced selectivity, ultimately increasing DME yield. The formation of by-products such as light olefins and methane was significantly dependent on the metal used: Ni, Pt, and Pd reduced olefin production, though Ni promoted excessive methane formation across the whole temperature range. Notably, the Pt-based catalyst completely suppressed by-product formation across the temperature range studied. While the In2O3-ZrO2-based catalysts generally displayed lower space–time yields than the commercial reference, they achieved comparable performance at 280 °C. Due to their superior selectivity, these formulations are promising for developing even better performing catalysts, to be excellent candidates in industrial processes, where the operation with recycle loops requires a high product purity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}