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Wind-Degraded Thermal Resistance (Tog & Clo) Matrix

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See what it looks like

Insulation is measured in still air and worn in wind. A permeable fill can lose half its rating before the wind is even strong.

Still-Air Rating As measured
tog
L/m²/s
Exposure In service
m/s
L/m²/s

Fit to your own wind-tunnel or guarded hotplate data.

Effective Thermal Resistance

— tog

Still-air rating degraded for wind and permeability

In-Wind Performance

Effective Insulation
— clo
Still-Air Insulation
— clo
Insulation Lost to Wind
— %
Effective Rct
— m²K/W
Wind Penetration Factor
— ×

The penetration coefficient is empirical and must be fitted to your own measurements — it is not a universal constant, and the model is a comparison tool between constructions rather than a predictor of absolute field performance. Cold-weather and survival clothing is decision-support only here: validate on a thermal manikin under the intended exposure.

Using this calculator

About the Wind-Degraded Thermal Resistance (Tog & Clo) Matrix

The formula

This is the expression the tool evaluates. Every term is named underneath, with the unit it must be supplied in.

Effective Thermal Resistance
effectiveTog = f( togStill, airPermeability, windSpeed, referencePermeability, penetrationCoefficient )

Each input feeds the expression evaluated in the browser; the symbol table below names every term and its unit.

Symbols used above
SymbolStands forUnit
togStillStill-Air Thermal Resistancetog
airPermeabilityAir PermeabilityL/m²/s
windSpeedWind Speedm/s
referencePermeabilityReference PermeabilityL/m²/s
penetrationCoefficientPenetration Coefficient—
effectiveTogEffective Thermal Resistancetog
effectiveCloEffective Insulationclo
stillAirCloStill-Air Insulationclo
insulationLostInsulation Lost to Wind%
effectiveRctEffective Rctm²K/W
windFactorWind Penetration Factor×

How the result is derived

Step by step, from the values you type to the figure on screen.

  1. The 5 inputs are read from the form on every keystroke: Still-Air Thermal Resistance, Air Permeability, Wind Speed, Reference Permeability and Penetration Coefficient.
  2. Each value is checked against the accepted range in the input table below. A value outside its range stops the calculation rather than producing a misleading figure — the results blank out and a message appears.
  3. The validated values are substituted into the expression above, which resolves Effective Thermal Resistance together with every supporting figure in one pass — no value is carried over from a previous entry.
  4. The supporting outputs — Effective Insulation, Still-Air Insulation, Insulation Lost to Wind, Effective Rct and Wind Penetration Factor — come from the same pass, so they always describe the same case as the headline figure.
  5. Results are rounded for display only. The full-precision value is used throughout the chain, so reading a rounded intermediate figure back into the tool by hand can shift the last digit.

What each input means

Where to read each value on the floor, the unit it must be in, and the range the tool accepts.

InputUnitAccepted rangeDefaultWhat it means
Still-Air Thermal Resistancetog0.1 to 20 tog2.5
Air PermeabilityL/m²/s0.1 to 3000 L/m²/s120
Wind Speedm/s0 to 50 m/s8
Reference PermeabilityL/m²/s1 to 3000 L/m²/s50
Penetration Coefficient—0.001 to 10.06Fit to your own wind-tunnel or guarded hotplate data.

What the tool returns

The headline figure and every supporting value it is built from.

OutputUnitWhat it tells you
Effective Thermal Resistance (headline result)togStill-air rating degraded for wind and permeability
Effective Insulationclo
Still-Air Insulationclo
Insulation Lost to Wind%
Effective Rctm²K/W
Wind Penetration Factor×

Worked example

Given

Still-Air Thermal Resistance
2.5 tog
Air Permeability
120 L/m²/s
Wind Speed
8 m/s
Reference Permeability
50 L/m²/s
Penetration Coefficient
0.06

The tool loads with this case already solved — the Effective Thermal Resistance shown above is its answer. Change one value and the difference from this baseline is the sensitivity of the result to that variable.

How to use it

  1. Work through the input groups in order — Still-Air Rating and Exposure. The defaults are a realistic case, so you can change one value at a time and watch what moves.
  2. There is no calculate button. Every figure recalculates as you type or drag, which is what makes this usable for a what-if sweep rather than a single answer.
  3. Read Effective Thermal Resistance in the dark results panel — that is the headline figure, expressed in tog.
  4. Check the supporting rows underneath (Effective Insulation, Still-Air Insulation, Insulation Lost to Wind, Effective Rct and Wind Penetration Factor) before acting on the headline — they are where an implausible input usually shows itself first.
  5. Reset to defaults returns every field to the reference case, which is the quickest way to check whether a surprising result came from the tool or from an input you had changed earlier.

Where this is used

  • Process planning — establishing Effective Thermal Resistance before a trial is booked, so machine time and material in Testing, Standards & Metrology are committed against a calculated figure rather than an estimate.
  • Costing and quotation — Effective Thermal Resistance is an input to the cost sheet, and quoting from a worked number rather than a remembered one is what keeps a margin intact.
  • Troubleshooting — when the floor result drifts from plan, entering the measured values (starting with Still-Air Thermal Resistance) shows how much of the gap in Effective Thermal Resistance each variable explains.
  • Teaching and study — the accepted ranges bracket normal Testing, Standards & Metrology practice, so moving one variable at a time shows the shape of the relationship rather than a single answer.

Assumptions and limits

  • The penetration coefficient is empirical and must be fitted to your own measurements — it is not a universal constant, and the model is a comparison tool between constructions rather than a predictor of absolute field performance. Cold-weather and survival clothing is decision-support only here: validate on a thermal manikin under the intended exposure.
  • Every input is bounded to the range normal practice occupies (Still-Air Thermal Resistance 0.1 to 20 tog, Air Permeability 0.1 to 3000 L/m²/s and Wind Speed 0 to 50 m/s, and so on for the rest). Those bounds are guard rails against typing errors, not a claim that the formula fails one unit outside them.
  • The calculation is deterministic: the same inputs always give the same result. It carries no allowance for machine condition, operator skill, ambient conditions or lot-to-lot material variation unless an input above explicitly represents one.
  • Nothing is sent anywhere. The maths runs in your browser, so the numbers you type never leave the page.

Questions people ask

What do I need to know before using the Wind-Degraded Thermal Resistance (Tog & Clo) Matrix?

Have these to hand: Still-Air Thermal Resistance, Air Permeability, Wind Speed, Reference Permeability and Penetration Coefficient. With those entered, the tool returns Effective Thermal Resistance immediately.

What exactly is Effective Thermal Resistance?

Still-air rating degraded for wind and permeability. It is reported in tog. It is derived from Still-Air Thermal Resistance, Air Permeability, Wind Speed, Reference Permeability and Penetration Coefficient, and is the figure the rest of the Testing, Standards & Metrology calculation is built around.

Which units does this calculator expect?

Enter Still-Air Thermal Resistance in tog, Air Permeability in L/m²/s, Wind Speed in m/s and Reference Permeability in L/m²/s. Mixing unit systems is the most common cause of a result that looks an order of magnitude wrong — convert before typing, not after reading.

What are the other figures under the main result?

They are the intermediate quantities the calculation passes through: Effective Insulation, Still-Air Insulation, Insulation Lost to Wind, Effective Rct and Wind Penetration Factor. They are shown because a headline number nobody can trace is a number nobody trusts — checking them against your own expectation is the fastest way to confirm the inputs were read as you intended.

Can I rely on this for a production decision?

The penetration coefficient is empirical and must be fitted to your own measurements — it is not a universal constant, and the model is a comparison tool between constructions rather than a predictor of absolute field performance. Cold-weather and survival clothing is decision-support only here: validate on a thermal manikin under the intended exposure. Treat the output as an engineering estimate that narrows the trial window, not as a substitute for the trial.

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