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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Related Publications

Comprehensive Approach for Designing Different Configurations of Isothermal Reactors with Fast Catalyst Deactivation

by Cordero-Lanzac, Aguayo, Gayubo, Castaño, Bilbao
Chem. Eng. J. Year: 2020

Abstract

A methodology for simulating the performance of different reactor configurations for processes with complex reaction networks and fast catalyst deactivation has been proposed. These reaction configurations are: packed bed, moving bed and fluidized bed reactors with and without catalyst circulation. From kinetic parameters collected in a packed bed reactor and a rigorous consideration of the activity, modifications in the convection-dispersion-reaction equation have led to the prediction of the catalyst performance in each reactor configuration. The circulating fluidized bed reactor has been simulated with an original model of parallel compartments, which allows for determining its performance in the steady state from the evolution of the transitory period. The methodology has been used for simulating the dynamics of SAPO-34 fast deactivation during the methanol-to-olefins (MTO) process. For each reactor configuration, concentration profiles and their evolution with time have been simulated, thus predicting the effect of reaction conditions and water content (formed and/or co-fed) on the activity profile or the activity distribution function (in the case of circulating fluidized bed reactor). The olefin yield and distribution have also been compared for each reactor configuration.

Keywords

O2H FCC CRE MKM