CFD thermal simulation for surface condensers, air-cooled condensers, cooling towers, and heat recovery steam generators. Predict back pressure, identify air blanketing, and maximise thermal efficiency.
CFD thermal simulation services for water treatment equipment.
CFD thermal simulation for LED lighting enclosures and heat sinks.
CFD thermal mixing simulation for tanks, reactors, and process vessels.
CFD thermal simulation for LiDAR enclosures. Predict laser diode temperature, prevent optical window condensation, and validate.
CFD thermal contours in a condenser tube bundle
Power plants depend on efficient heat rejection to maintain steam cycle efficiency and prevent derating. Cooling water systems – including condensers, cooling towers, cooling ponds, and air-cooled condensers – must handle enormous heat loads while minimising pumping power, water consumption, and environmental impact. A 1°C increase in condenser cooling water temperature can reduce plant efficiency by 0.3-0.5%, translating to millions in lost output over a plant lifetime. CFD thermal simulation provides the precision needed to optimise these critical systems.
Our power plant cooling CFD models simulate condenser tube-side and shell-side heat transfer, cooling water distribution uniformity, thermal plume dispersion in ponds and rivers, and hybrid dry-wet cooling system performance. We identify tube-side maldistribution, air-side recirculation, and seasonal performance degradation to inform design modifications and operational strategies.
Tube-side cooling water distribution and shell-side steam condensation modelled. Identify air blanketing, non-condensable gas accumulation, and tube-side maldistribution that reduce heat transfer.
Finned tube bundle airflow and steam condensation with wind effects, fan interaction, and recirculation of warm exhaust air that degrades performance.
Evaporative cooling with spray distribution, fill pack performance, and fan power consumption. See detailed Cooling Tower CFD page for full capability.
Thermal plume dispersion from once-through cooling water discharge. Predict intake recirculation and temperature rise under variable meteorological and river flow conditions.
Air-cooled heat exchanger arrays for water-stressed regions. Model wind direction effects, row-by-row temperature build-up, and seasonal performance curves.
Heat recovery steam generator tube bundles with gas-side flow and water/steam-side boiling. Optimise pinch point and approach temperature for maximum cycle efficiency.
| Condenser Heat Duty | 500 – 2,000 MWth (large thermal plants) |
| Cooling Water Flow | 10 – 100 m³/s (circulating water) |
| Tube Material | Titanium, SS304, aluminium-brass, cupro-nickel |
| Tube Dimensions | OD 19 – 25 mm, wall 0.7 – 1.2 mm |
| Cooling Water Velocity | 1.8 – 2.5 m/s (tube side) |
| Condenser Back Pressure | 0.04 – 0.08 bar absolute |
| Cleanliness Factor | 0.80 – 0.95 (fouling dependent) |
| LMTD Design | 3 – 8°C (log mean temperature difference) |
A 660 MW coal-fired unit experienced gradual back pressure increase from 0.045 bar to 0.068 bar over five years, reducing turbine output by 18 MW during summer peak demand. Root cause analysis suggested tube fouling and partial air blanketing in the lower tube bundles, but traditional diagnostic methods could not quantify the contribution of each mechanism. CFD thermal simulation of the condenser with measured tube-side flow distribution and assumed steam-side conditions predicted that 22% of the lower tubes were air-blanketed (non-condensable gas accumulation), while 15% suffered from biofouling that reduced the internal heat transfer coefficient by 40%. The model recommended selective retubing of the lower 30% of the bundle with enhanced titanium tubes, installation of a dedicated gas extraction ejector on the lower header, and a modified cooling water inlet manifold to improve lower bundle flow by 25%. Post-modification, summer back pressure reduced to 0.052 bar, recovering 14 MW of output annually. Tube cleaning frequency reduced from quarterly to bi-annually, saving in maintenance.
14 MW output recovered, annually in peak summer generation.
Tube cleaning frequency reduced from quarterly to bi-annually.
Reduced from 0.068 bar to 0.052 bar during peak summer conditions.
Condenser tube bundle, waterboxes, and cooling tower fill imported from manufacturer drawings or laser scan data.
Cooling water manifold flow modelled to identify maldistribution, jetting, and low-velocity regions prone to biofouling.
Film condensation on tube outer surfaces with non-condensable gas diffusion layer. Air blanketing and inert gas accumulation zones identified.
Coupled tube-side, wall conduction, and steam-side thermal resistance. Wall temperature and heat flux maps generated for every tube.
Seasonal performance curves generated across wet-bulb temperature, dry-bulb, wind speed, and humidity for operational planning.
Selective retubing, gas extraction, waterbox modifications, and cooling tower fill replacement prioritised by project benefits.
External and internal forced convection with turbulent boundary layers, entrance effects, and developing flow regions accurately captured using low-Reynolds turbulence models.
Buoyancy-driven flow from density variations with Boussinesq and full compressible formulations for high Rayleigh number applications including solar heating and passive cooling.
Nucleate pool boiling, flow boiling, and film condensation with heat transfer coefficient correlations validated against Rohsenow and Nusselt analytical solutions.
Surface-to-surface radiation and participating media radiation for high-temperature dryers, furnaces, and combustion applications with view factor calculation.
Heat transfer through packed beds, filter media, and insulation with effective thermal conductivity and non-thermal equilibrium between fluid and solid phases.
Joule heating in immersed heaters, trace heating cables, and electrocoagulation cells with coupled electrical potential and energy equations.
Every CFD thermal simulation undergoes rigorous validation before design recommendations are issued. We correlate model predictions against analytical solutions, established empirical correlations, and field measurement data from commissioned installations. Our validation protocol ensures thermal predictions are accurate to within ±5% for outlet temperatures, ±10% for heat transfer coefficients, and ±15% for transient thermal response times.
Laminar pipe flow Graetz solution, flat plate Blasius thermal boundary layer, and sphere Nusselt number correlation agreement.
Dittus-Boelter, Gnielinski, and Petukhov correlations for turbulent tube flow within ±8% agreement across Reynolds range.
Over 50 commissioned installations with measured outlet temperatures, heat duties, and mixing times for model calibration.
CFD thermal simulation identifies hotspots, thermal gradients, and inefficiencies before capital is committed. Speak with our thermal simulation engineers to model your heat transfer challenge.
Our expertise spans multiple industries with sector-specific water treatment solutions.