Multi-Physics Simulations for Pyrolysis Plants — CFD, FEA, and Process Solvers Coupled
Two interactive 3D simulations below. Click ▶ Play, drag the time slider to scrub, left-drag the model to rotate, right-drag to pan, scroll to zoom. Both run the actual physics in your browser via WebGL — same library family as the simulations we deliver to every commercial project.
Sim 1 — Reactor Thermal Bending (CFD + FEA coupled)
A horizontal cylindrical reactor heated by two floor burners. The bottom side runs hotter than the top, the steel weakens at temperature, and the cylinder sags downward at the midspan under its own weight. Where the curvature is highest — at the welded joints near the endplates — the steel yields and the welds crack. The simulation predicts both the temperature field and the deformation in a single coupled solve.
Reactor Thermal Bending
Asymmetric burner heating · 60-min ramp · CFD + FEA coupled
Solvers: conjugate heat transfer · compressible vapor flow · phase-modified k-ω SST · linear elasticity · thermal expansion
What is shown: Vertex-colored temperature field on the reactor surface (blue = 300 K, red = 690 K) — the bottom runs hotter because the burners are below. Two coupled deformations are visualised: (a) vertical sag at the midspan (bimetallic + gravity creep) and (b) thermal expansion in one direction — the left end is anchored, the right end slides outward as the cylinder grows (see the yellow expansion arrow). Drag the Deformation × slider (0–50×) to exaggerate both. Toggle Stress to see the high-stress zones near the welded flanges.
Sim 2 — Tar Settling & Clogging Tendency (horizontal vapor pipeline)
A horizontal vapor pipeline with a multi-modal particle population — fine carbon black (5 μm) through to coarse tar splash (400 μm). Heavy particles settle under gravity as the vapor decelerates; sticky tar adheres to the pipe bottom and grows a solid deposit layer. The simulation predicts the clogging rate and the cleaning interval — not just the particle trajectories.
Tar Settling & Clogging Tendency
Horizontal vapor pipeline · 500 mm dia · multi-modal particle population (5 μm to 400 μm)
Solvers: Lagrangian particle tracking · semi-solid drag + adhesion · gravity-corrected settling · wall sticking probability · deposit-layer growth tracker
What is shown: Each sphere is one tar/carbon particle, coloured by diameter on a log scale (blue = 5 μm fine carbon, red = 400 μm tar splash). The dark layer growing on the pipe bottom is the predicted solid deposit. Use the Gas velocity slider to see how flow rate trades off against settling — low gas velocity means more carbon drops out and more cleaning shutdowns.
Why Simulate Before You Weld
Every pyrolysis plant operator we have ever worked with has the same story: the plant ran for a few months, then a weld cracked, or the condenser clogged with tar, or one side of the reactor heated faster than the other and the cylinder bent. Each event is a one-month repair shutdown, plus capacity loss, plus the insurance and warranty conversations that come with it. The cost of finding these failure modes after construction is between $200,000 and $2 million per incident — and the learning curve is just that: you learn one expensive lesson at a time.
Multi-physics simulation finds every one of these failure modes before the first weld goes in. The cost of simulation is a fraction of the cost of one repair shutdown. Both interactive visuals above are the same class of simulation we run for every commercial project.
What We Simulate — 8 Solvers + 7 Coupling Libraries
Every project we deliver is solved on a custom multi-physics framework that integrates the following modules in a single coupled solve, rather than running them sequentially:
8 Solver modules
- • Master multi-physics transient integrator (PIMPLE-loop base)
- • Compressible turbulent gas-phase flow with reacting chemistry
- • Conjugate fluid ↔ pipe wall heat transfer
- • Vapor-to-liquid condensation (Lee / kinetic model)
- • Liquid-to-solid tar solidification (enthalpy-porosity)
- • Lagrangian discrete tar-particulate cloud (semi-solid drag, adhesion)
- • Liquid wall-film formation, transport, and break-up
- • Spray-droplet injection with cone-profile droplet–vapor coupling
7 Coupling libraries
- • Multi-region solver bridging (combines region outputs into one solution)
- • Moving-region coupling at transient interfaces (sliding mesh + phase-aware)
- • Phase-dependent non-Newtonian tar rheology closure
- • Wall-impact sticking-probability adjudicator
- • Wall-deposit growth tracker (couples cloud + film + solid deposit)
- • Parcel ↔ wall-film mass / momentum exchange
- • Phase-modified turbulence closure (k-ω SST aware of local phase fraction)
What Commercial CFD Cannot Do
Ansys Fluent and Siemens STAR-CCM+ are excellent for the standard CFD physics (compressible flow, energy transport, single-phase Lagrangian tracking). For pyrolysis, four critical capabilities are missing — and the workaround is to stitch separate simulations together by hand, which loses accuracy at every interface.
Semi-solid particulate phase
Tar in pyrolysis is intermediate between a Newtonian droplet and a rigid solid. Commercial packages force you to pick one — and lose the chunk-like adhesion behaviour that actually drives fouling.
Non-Newtonian Eulerian + Lagrangian DEM coupling
In one solve loop. Commercial workflow: run them as separate simulations, then patch the interface by hand. Errors compound.
Sticking-probability wall closures
Required to predict fouling rate — not just where particles fly. Commercial packages predict trajectories, not deposit growth.
Unified multi-mode phase-change framework
Vapor → liquid → solid in one solver, hosted in the same framework as the gas flow. Commercial workflow: three separate runs.
Mesh and Compute
Mesh density and compute budget scale with the question you are asking. A preliminary screening to identify the dominant failure mode runs in 10 days on a coarse mesh. A full coupled multi-physics study with sub-millimetre wall-film resolution and per-nozzle spray refinement takes 2–3 months on 64-core MPI hardware.
Preliminary scan
Multi-physics base
Full multi-physics
How Pricing Works
Engineering and simulation effort is billed against a fixed scope at hourly rates ($50/hr engineer, $150/hr senior). For full technology-license engagements where simulation underwrites a performance warranty, we charge 10–20% upfront (advance + disclosure milestones), the simulation fees as delivered, and the remaining 70–80% as success fees — paid only when your plant runs at the contracted 300–330 working days per year.
For external benchmarking: a commercial single-solver agitator simulation (one physics, off-the-shelf solver) is quoted at ~$10,000 from US providers or ₹6–8 lakh from Indian providers, plus the recurring Ansys / Simcenter license fee. The simulations on this page combine 8 solver modules and 7 coupling libraries in a single coupled solve — scope that scales accordingly.
Track Record
Partnerships: Shell Petrochemicals (Singapore — Technip Energies collaboration) · BASF (plastic-to-naphtha, government-cofunded in India) · ISCC Plus certified for refinery-grade pyrolysis oil supply.
Frequently Asked Questions
Above 99% on temperature, deformation and particulate-transport metrics — provided the input boundary conditions are properly measured. Our custom multi-physics framework integrates 8 solver modules (compressible vapor flow, conjugate heat transfer, Lagrangian particle tracking, Eulerian non-Newtonian semi-solid, vapor-to-liquid condensation, liquid-to-solid solidification, wall-film transport, spray injection) in a single solve loop rather than running them sequentially and stitching results.
A custom multi-physics framework developed in-house, built on the same numerical foundations as OpenFOAM (PIMPLE-loop transient compressible solver). It integrates the eight solver modules and seven coupling libraries as a single solve — which commercial packages like Ansys Fluent and Siemens STAR-CCM+ cannot natively do. Commercial packages run each physics separately and stitch results, losing accuracy at every interface.
A preliminary screening (≈100,000 cells, single dominant failure mode) is 10 working days. A full multi-physics study (1.5–3 million cells, all coupled solvers, mesh-independence study) is 2–3 months end-to-end, including meshing, runs on 64-core MPI parallel hardware, post-processing, and reporting.
Native 3D CAD of the equipment (STEP / Parasolid / IGES), operating boundary conditions (inlet temperature, pressure, mass flow, vapor composition), feedstock composition with target throughput, materials of construction with thicknesses, and any operational data you already have (sensor logs, observed failure modes). Meshing is 50% of the simulation effort — quality input geometry is what makes 99%+ accuracy achievable.
We do both. But the value of simulation is that it predicts problems before they show up on site. Once a weld has cracked or a condenser has clogged, a site visit can only diagnose the failure — by then you are already in a 1-month repair shutdown. A 10-day preliminary simulation predicts the failure mode for a fraction of the repair cost.
Engineering and simulation effort is billed at fixed-scope fees ($50/hr engineer, $150/hr senior). For full technology-license projects, 10–20% of the license fee is taken at the start (advance + disclosure), simulation fees are billed as the work is delivered, and the remaining 70–80% is success-fee based — paid only when the plant runs at the contracted 300–330 working days per year. That aligns our incentives with your uptime.
Related Services
Plant Troubleshooting
Existing plant not hitting capacity? Simulation-led diagnosis.
R&D / Lab Testing
Feedstock characterisation and pre-processing experiments.
Project Management Consultancy
End-to-end project oversight, design audit, performance warranty.
Plant Design Guide
How a pyrolysis plant is engineered, phase by phase.