Solutions
Solutions

Three pillars, one goal: performance you can measure

CFDWAYS sells measured results, scoped per problem. The three pillars below are three levels of intervention for when your equipment or process falls short of the desired performance.

Pick by situation

What stage is your problem at?

All three pillars share the same foundation: the model is calibrated against measured data before it is used to draw conclusions. The difference lies in the need: a diagnosis, a new design, or a tool that supports continuous operation.

Performance engineering

Fan curves: from damper throttling to speed control, power down 37 %
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The equipment runs but underperforms: high consumption, skewed distribution, emissions over the limit. We start with on-site measurement and diagnosis; simulation is used to trace the root cause.

Performance engineering →

Simulation & virtual engineering

One tube bank in three steps: CAD geometry, mesh, CFD result
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The equipment is not yet built, or the retrofit option is not yet verified. Test it virtually before investing in hardware, comparing KPIs across options on the same model.

Simulation & virtual engineering →

Digital twin & Engineering AI

A reduced-order model takes operating data and returns the temperature field in 0.2 s
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A simulation answers once; operation needs answers continuously. We turn the engineering model into a tool that runs every day on live operating data.

Digital twin & Engineering AI →
Shared method

Three pillars, one validation workflow

Whether you need one answer, a design or a tool that runs daily, the model goes through these four steps before it is used to draw conclusions.

Collect operating data

Drawings, operating conditions, on-site measurements — CFDWAYS provides the minimum checklist.

Build & calibrate the model

The model is used only after it matches existing measurements; the error is reported with the results.

Compare options

Retrofit or new-design options run on the same model with the same KPI set.

Measure after the change

KPIs measured after the retrofit are compared with the prediction; these are the figures on the project cards below.

Evidence

Measured results

Three representative projects — the problem, the approach and the outcome measured afterwards.

Model and flow field of a dry flue-gas desulfurization system
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Process efficiency · Thermal power plant · South Korea · 2022

Optimizing a dry flue-gas desulfurization (FGD) system

+50% gas–solid mixing efficiency · −15% pressure loss · model validated to ~5% error
Read the case study →
Flow field in the cyclone train of a spray-drying system
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Energy efficiency · Ceramic tile plant · Vietnam · 2022–2024

Energy efficiency of a spray dryer & cyclone train

Payback < 2 years · 5–10% heat saved · 10–20% fan power saved · Best Presentation, ICERE 2025
Read the case study →
Temperature field in the urea injection zone of an incinerator
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Emissions reduction · 30 MW waste-to-energy plant · South Korea · 2024

Fixing the SNCR injection layout before installation

Optimal layout settled before installation · 870–1100°C temperature window · no field trial-and-error
Read the case study →

See all projects

By equipment

Or browse directly by equipment

Already know which equipment has the problem? Each of the seven groups below has a deployed model, an established approach and documented results.

All capabilities by equipment

Tools
The Simcenter suite: CFD, structures, thermal, acoustics, electromagnetics, chemistry

Siemens software

CFDWAYS is a Software Partner of Siemens Digital Industries Software — we distribute the Simcenter suite in Vietnam and use these tools in our daily engineering work.

The full software portfolio

Not sure which pillar to choose?

Describe the equipment and the symptoms. CFDWAYS replies within 24 working hours with a suitable approach, the data required and an expected timeline.

Send project details