Work package · Scale-Up03Reactor engineering & scale-up

Reactor engineering and scale-up for pilot, demonstration, and commercial systems.

Quantitative scale-up based on kinetics, transport phenomena, hydrodynamics, heat removal, pressure drop, operating windows, equipment constraints, and the evidence required at the next scale.

Defined inputs · review points · issued outputs
Typical stageLaboratory · pilot · demonstration
Primary inputsTest data · kinetics · geometry
Primary outputsScale-up basis · sizing · operating window
Common interfacesR&D · vendors · design · operations
01 · Purpose

Translate performance at one scale into a credible basis for the next.

Scale-up is not a geometric exercise. Mixing, heat and mass transfer, residence-time distribution, hydrodynamics, pressure drop, solids behavior, thermal management, controls, and equipment limitations can change as throughput and dimensions increase.

ONB combines experimental evidence, reactor models, engineering correlations, CFD/CPFD where warranted, and stage-appropriate design calculations to identify governing phenomena and define the next-scale basis.

02 · Decision questions

Is the process ready for the next scale?

Assess whether the available evidence supports pilot, demonstration, or commercial assumptions.

What changes with scale?

Identify transport, hydrodynamic, thermal, mechanical, control, and operability effects that may not preserve similarity.

What reactor size and configuration are appropriate?

Link kinetics, residence time, heat removal, pressure drop, mixing, and practical equipment constraints.

What must be tested before committing?

Prioritize experiments, measurements, and validation work that materially reduce scale-up risk.

03 · Scope & capabilities

Scale-up basis and criteria

Performance targets, governing phenomena, similarity criteria, dimensionless groups, uncertainty, and validation requirements.

Kinetics and reactor models

Reaction networks, rate expressions, parameter estimation, selectivity, deactivation, residence-time effects, and reactor performance.

Transport and hydrodynamics

Heat and mass transfer, mixing, multiphase flow, fluidization, solids circulation, pressure drop, and flow distribution.

Thermal and operability analysis

Heat generation and removal, hot-spot risk, temperature control, startup, shutdown, turndown, and operating envelopes.

CFD and CPFD

Targeted simulation of geometry-sensitive flow, heat transfer, solids behavior, multiphase hydrodynamics, and scale-dependent maldistribution.

Pilot and demonstration definition

Design cases, instrument and data requirements, test matrices, scale-up metrics, and acceptance criteria for the next system.

04 · Typical deliverables
Scale-up basis and governing-phenomena memo
Reactor model and sizing calculations
Operating-window and sensitivity analysis
Heat and mass transfer calculations
Hydrodynamic or pressure-drop basis
CFD/CPFD study and interpretation where applicable
Scale-up risk and data-gap register
Pilot or demonstration test plan
Recommended reactor configuration and next-stage inputs
05 · Engineering principle

Scale the governing physics—not only the dimensions.

ONB identifies which similarities can be preserved, which effects will change, and which uncertainties must be bounded experimentally. The result is a traceable scale-up basis rather than a single extrapolation factor.

06 · Representative applications
Laboratory-to-pilot scale-upPilot-to-demonstration scale-upMultiphase reactorsFluidized bedsSlurry bubble columnsGas–solid systemsPacked and trickle bedsExothermic reactorsThermochemical conversionElectrochemical systemsModular reactors
07 · Frequently asked questions
What information is needed to begin a scale-up study?
Typical inputs include reaction and performance data, operating conditions, geometry, feed and product characterization, heat effects, pressure-drop or mixing observations, and the decision the next scale must support.
Does every scale-up study require CFD?
No. CFD or CPFD is used when spatial flow, heat transfer, multiphase behavior, solids motion, or geometry materially controls performance and simpler methods cannot answer the decision.
Can ONB help define a pilot test program?
Yes. ONB can translate scale-up uncertainties into instrument requirements, test matrices, operating cases, acceptance criteria, and the data needed for the next design stage.
Can the scale-up work feed directly into process design?
Yes. The resulting design cases, operating window, sizing basis, utility requirements, safeguards, and open issues can be carried into the Basis of Design, PFDs, P&IDs, and equipment package.
Start with the scope

What decision, drawing, model, or study does the project need next?