Catalytic reactor engineering ⇒ information-driven design of packed (operando), fluidized, multi-functional, and -phase reactors


Reactor engineering (CRE)

Catalytic reactor engineering: information-driven design of packed (operando), fluidized, multifunctional and multiphase reactors. We design reactors that produce reliable, information-rich kinetic data with controlled hydrodynamics, and we use that information to scale reactors to pilot and industrial units. Prototypes are designed with our modeling workflow, verified in cold flow and then operated under reaction conditions.

Problem statement. At laboratory scale, a catalytic reactor should provide:

  • reliable kinetic information, with heat and mass transfer and hydrodynamics neglected or controlled;
  • a high data throughput, to accelerate model and catalyst discovery;
  • these results with the minimum use of reactants and generation of waste.

The pillars are quality, quantity and safety. In conventional laboratory reactors, conditions are kept steady, and the only way to obtain more information is miniaturization and parallelization [10, 18] . Very active catalysts, demanding chemistries and intensified processes need reactors that capture more information per experiment: dynamic as well as steady-state data, and the catalyst structure together with its performance. At pilot scale the objective changes to productivity, and the main difficulty is scale-up.

Our approach, scale by scale. The video starts at the industrial unit and ends with the data recorded in one experiment, and each paragraph below matches one scene.

1. Process: information decides the scale-up. Industrial reactors are designed from information obtained at small scale. In crude-to-chemicals, catalyst circulates between a regenerator and a fluidized reactor that converts crude oil into light olefins and aromatics in one step [104, 162] . The quality of the kinetic and hydrodynamic information decides how well such a unit can be scaled.

2. Scale-up: from centimeters to meters. We design reactor prototypes, test them in cold flow and scale them with CFD, CPFD and kinetics toward pilot and industrial units [171, 184] . With Saudi Aramco we developed the counter-current downer, a fluidized reactor between a riser and a co-current downer; counter-current operation increases solids holdup and breaks particle clusters [181, 211] . Patent applications on this design are in process. At pilot scale we seek industrial and investment partners.

3. Lab reactors: designed for information. Our fluidized-bed laboratory visualizes and measures new reactor geometries with high-speed cameras, particle image velocimetry, optical probes, pressure transducers and dozens of fluidizable solids. The main laboratory reactors are:

  • CounterDowner, from micro-downer to scaled-up units [181, 184, 211] ;
  • CircuBED, a Berty-type reactor with internal recycle and circulating solids for intrinsic kinetics, in batch or continuous, packed or fluidized modes [120, 170] ;
  • multizone and diameter-transformed fluidized beds [104, 162, 209] ;
  • membrane reactors for pressurized H2 from ammonia [116] ;
  • multiphase reactors: trickle bed, slurry, micro-packed beds [24, 26, 84] and bioelectrochemical cells [174, 197] ;
  • photothermal reactors [189] ;
  • operando cells, where spectroscopy and kinetics are measured at the same time [124, 146] .

4. Operando cell: forcing the reactor. In packed-bed and operando reactors we change the conditions on purpose: pulses, step switches, isotope-labeled reactants (SSITKA), temperature and pressure cycles, and co-feeding of activity modifiers such as poisons or water [118, 160, 200, 205] . Infrared spectroscopy (DRIFTS) and mass spectrometry record how the surface and the products respond. We follow a spectro-kinetic, deactivation and hydrodynamic approach to resolve the individual steps [119, 124] .

5. Spectro-kinetics: one experiment, more information. Surface species and products are recorded together. Dynamic data separate fast and slow steps, give rate constants and deactivation rates, and check heat and mass transfer in the same experiment [118, 146] . This accelerates model and catalyst discovery, and feeds the multiscale models used for scale-up.

Goals. Our goals are grouped in these lines of work:

  • Multifunctional fluidized-bed reactors: multizone and circulating.
  • Packed-bed membrane reactors.
  • Forced dynamic reactors: pulsing and SSITKA.
  • Forced dynamic operando reactors: DRIFTS and TPSR.
  • Operando reactors.
  • Spray fluidized-bed reactors.
  • Downer reactor I: micro-downer.
  • Downer reactor II: counter-current operation and scale-up.
  • Batch Berty reactor for short contact times.
  • Multiphase reactors: trickle bed and slurry.
  • High-throughput experimentation (HTE) reactors.
  • Photothermal and bioreactors.
  • Reactor visualization and prototyping laboratory.
  • Spatio-temporal hydrodynamic characterization and validation.

Applications. We apply this competency to:

  • Crude-to-chemicals and fluid catalytic cracking, including co-cracking of plastics in a downer.
  • Short-contact-time reactors for crude-to-chemicals and crude-to-hydrogen, with a manufacturer for the new designs.
  • Dry reforming of methane and CO2 hydrogenation under forced dynamic conditions.
  • Ammonia decomposition in membrane reactors.
  • Bioelectrochemical reactors for wastewater treatment, H2 and electricity.

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Enlarging the Three-Phase Boundary to Raise CO2/CH4 Conversions on Exsolved Ni–Fe Alloy Perovskite Catalysts by Minimal Rh Doping

by Yao, Bai, Davaasuren, Melinte, Morlanes, Cerrillo, Velisoju, Kolubah, Zheng, Han, Bakr, Gascon, Mohamed, Cheng, Castaño
ACS Catal. Year: 2024 DOI: https://doi.org/10.1021/acscatal.4c00151

Abstract

Exsolved Ni–Fe alloy perovskite catalysts exhibit remarkable coking resistance during C–H and C–O activation. However, metallic utilization is typically incomplete, resulting in relatively low catalytic activity. Herein, we investigated minimal doping with Rh to boost the catalytic activity in the dry reforming of methane by promoting exsolution and enlargement of the three-phase boundary between the alloy, support, and reactants. The Rh influences the formation of the Ni–Fe alloy, as revealed by X-ray diffraction, and promotes the individual and collective CH4 and CO2 conversions, as revealed by packed bed reactor runs, temperature-programmed surface reactions, and in situ infrared spectroscopy. A minimal 0.21 wt % Rh addition enlarges the three-phase boundary while improving oxygen mobility and storage. The oxygen mobility is responsible for promoting CH4dissociation and dynamic removal of carbon-containing intermediates, such that the catalyst remains stable for over 100 h under both 1 and 14 bar.

Keywords

CRE CHA