Natural vs. Forced Cooling Design

Category: Thermal Analysis | Revised 2026-09-28
CAE visualization for natural forced cooling theory - technical simulation diagram
Natural Air Cooling and Forced Air Cooling Design

Theory: how much heat air can carry

Overview

🙋

I've been asked to drop the fan and go to natural cooling. Quiet and reliable, sure — but how far can it go?

🎓

The deciding product is heat-transfer coefficient × surface area × allowable temperature rise. Natural convection gives only a fraction of the forced-air coefficient, so for the same power you either multiply the surface area or accept a larger temperature rise. But natural cooling has an ally that barely matters with fans: radiation. Let's compare with numbers first.

Natural convection coefficient

$$ Ra_L = \frac{g\beta\,(T_s-T_\infty)L^3}{\nu\alpha}, \qquad \overline{Nu}_L = 0.59\,Ra_L^{1/4} \quad (10^4 < Ra_L < 10^9) $$

For a vertical plate of height $L=0.1$ m at 55 °C in 25 °C air (30 K difference), air properties at the 40 °C film temperature give $Ra_L \approx 2.2\times10^6$, $\overline{Nu} \approx 22.8$ and a heat-transfer coefficient of about 6.2 W/(m²·K).

The radiation share

$$ h_{rad} = \varepsilon\sigma\,(T_s^2+T_\infty^2)(T_s+T_\infty) $$

For the same plate with emissivity $\varepsilon = 0.9$ (black anodising or paint), $h_{rad} \approx 6.3$ W/(m²·K). From one 10 cm square face, about 1.9 W leaves by convection and about 1.9 W by radiation. Bare aluminium (emissivity roughly 0.05–0.1) loses almost all of the radiative part.

🙋

Radiation is as big as convection! So that's why natural-convection heat sinks are black.

🎓

Exactly. Two caveats, though. Fin faces largely look at each other, so their radiation doesn't escape well — it's mainly the outward-facing surfaces that count. And once forced convection pushes the coefficient above about 30 W/(m²·K), radiation's share becomes small and the surface finish matters much less.

Forced convection and the mixed-convection criterion

$$ \overline{Nu}_L = 0.664\,Re_L^{1/2}\,Pr^{1/3}, \qquad Re_L = \frac{UL}{\nu} $$
$$ \frac{Gr_L}{Re_L^2} \gg 1 : \text{natural}, \qquad \frac{Gr_L}{Re_L^2} \ll 1 : \text{forced} $$
Air speedCoefficient (laminar plate)$Gr/Re^2$Dominant mode
0.2 m/s5.5 W/(m²·K)2.35Mixed — buoyancy not negligible
1 m/s12.3 W/(m²·K)0.094Mostly forced
2 m/s17.4 W/(m²·K)0.024Forced
5 m/s27.5 W/(m²·K)0.004Forced

Same plate as above (0.1 m long, 30 K difference). At around 0.2 m/s the coefficient is barely different from natural convection and buoyancy still matters. Treating a weak fan or leakage flow through an enclosure as pure forced convection leads to large errors.

Coffee Break Trivia

Fan life is set by temperature

A big reason designers like natural cooling is that fans wear out. Fan life is governed mainly by degradation of the bearing grease and shortens as the operating temperature rises; a common rule of thumb is that life roughly halves for every 10–15 °C increase. Run a fan inside a hot enclosure and the cooling component becomes the first thing to fail. Whether the fan sits on the intake or the exhaust side is therefore also a decision about the fan's own temperature.

Design calculations: fins, fans and temperatures

Fin spacing for natural cooling

$$ S_{opt} \approx 2.714\,\frac{L}{Ra_L^{1/4}} $$

For 10 cm tall fins at 30 K ($Ra_L \approx 2.2\times10^6$ as above) the optimum spacing is about 7 mm, which is why natural-convection heat sinks usually end up with 6–10 mm gaps. Forced cooling allows tighter spacing, but at the price of pressure drop, so it has to be chosen together with the fan operating point below.

Fan operating point

$$ \Delta p_{fan}(Q) = \Delta p_{sys}(Q) = K Q^2, \qquad \Delta T_{air} = \frac{P}{\rho c_p Q} $$

Take a fan with 40 m³/h free delivery and 50 Pa shut-off pressure (curve approximated as a straight line) on a system with resistance coefficient $K = 0.05$ Pa/(m³/h)², then add a filter that doubles $K$. Power is 50 W and air $\rho c_p \approx 1170$ J/(m³·K).

CaseFlowPressureExhaust temperature rise
Using catalogue free delivery40 m³/h0 Pa3.8 K
$K = 0.05$21.5 m³/h23.1 Pa7.2 K
With filter, $K = 0.10$17.0 m³/h28.8 Pa9.1 K
🎓

Using the catalogue free delivery underestimates the exhaust temperature rise by almost half — and a clogging filter raises $K$ further still. Always find the operating point at the intersection of the curves, and check the clogged-filter case too.

Thermal resistance to the junction

$$ T_j = T_a + P\,(R_{jc} + R_{cs} + R_{sa}) $$

With 10 W, $R_{jc} = 1.0$ K/W, thermal grease $R_{cs} = 0.3$ K/W and 40 °C ambient, a natural-convection sink ($R_{sa} = 4.0$ K/W) gives $T_j \approx 93$ °C and a forced-air sink ($R_{sa} = 1.2$ K/W) about 65 °C. Both are within the 125–150 °C limit of many semiconductors, but the natural-cooling margin is small and easily lost with higher ambient or altitude.

Derating at altitude

At 3000 m the air density is about 0.74 of sea level. A fan moves the same volume flow, so mass flow drops and the exhaust temperature rise grows by about 1.35×. The natural-convection coefficient scales roughly with the square root of density and falls to about 0.86×. Whichever method you use, recalculate at the specified altitude's density.

Modelling in CFD

Natural-cooling analysis

  • Always enable buoyancy (Boussinesq or ideal gas). A wrong gravity direction is a surprisingly common slip.
  • Include space outside the enclosure — above it, roughly two to three times the enclosure height — so the rising plume is not pushed back by the boundary.
  • Include a radiation model that accounts for view factors between surfaces. Without it, heat dissipation can be underestimated by almost half.
  • Flows are slow and driven by small temperature differences, so convergence is slow. If a steady run won't converge, the flow may genuinely fluctuate; run transient and average.

Forced-cooling analysis

  • Fans are usually represented by a boundary condition or model driven by the fan curve (flow vs static pressure) rather than detailed geometry. Use a moving reference frame (MRF) when swirl matters.
  • Model filters, perforated plates and grilles as porous media with pressure-loss coefficients from the manufacturer or measurements.
  • Put several cells across each fin gap so the velocity and temperature profiles can form. One cell per gap gets the heat-transfer coefficient badly wrong.
  • Represent components with compact thermal models such as two-resistor models instead of full detail to keep the model size manageable (see thermal resistance (Rth) models).
Coffee Break Trivia

“We added a fan and it got hotter”

It is not unusual to add a small fan to an enclosure designed for natural cooling and find that component temperatures rise. Usually the fan flow is fighting the rising natural-convection plume, or recirculating warm air drawn back from near the exhaust. A weak fan can destroy the natural flow without providing enough cooling to make up for it. Streamlines from a CFD run show this at a glance, so check before adding the fan.

Common mistakes

Mistakes and fixes

MistakeEffectFix
Leaving out radiation in natural coolingHeat dissipation badly underestimatedInclude radiation with realistic emissivities
Using the fan's catalogue free deliveryTemperature rise underestimated by nearly halfUse the intersection of fan and system curves
Domain clipped at the enclosureThe natural-convection plume is disturbed by the boundaryLeave ample space above and to the sides
Using the average room temperature as inletRecirculation makes the real intake hotterCheck the intake temperature in the analysis
Ignoring altitudeTemperature rise about 1.35× at 3000 mCalculate with the air density at the rated altitude
🙋

I'd like to compare by changing the parameters myself.

🎓

Compare coefficients with the natural convection coefficient calculator and the forced convection calculator, and see how fin dimensions matter with the fin array simulator and the heat sink design calculator. Try operating points with the fan and system curve calculator and small-component temperatures with the LED junction temperature simulator. A detailed design procedure is in the article on heat sink design.

Related Simulators

Experience the theory firsthand with the interactive simulator for this field

All Simulators

Related fields

Structural AnalysisFluid Analysis (CFD)Manufacturing & Process Simulation
Rate this article
Thank you for your feedback!
Helpful
More details
Report error
Helpful
0
More details
0
Report error
0