Heat loss analysis

What does your heat loss cost, in forints?

A thermal image shows where a building loses heat. The analysis says how much, what it costs per season, what to fix first and when it pays back. With ranges and stated assumptions, as an estimate.

  • Part of every survey
  • from HUF 190,000 (2D) · from HUF 390,000 (3D package)
  • At October 2026 gas prices
Loss by finding, Ft per season Estimate Example
  • Wall-panel joints open HUF 270,000
  • Sectional door 1: worn perimeter seals HUF 43,000
  • Sectional door 2: worn perimeter seals HUF 43,000
  • Wet roof insulation HUF 190,000
  • Dock 3: head curtain incomplete HUF 21,000

01 / What it means

Turning thermal images into a decision

A collection of thermal images does not answer what to fix. The analysis does.

For each defect we note its location, likely cause and size (m², metres, gap width in mm). Using physical formulas we compute the loss in watts, convert it into seasonal energy, gas volume and forints, then add the indicative fix cost and payback. Finally we rank: A (pays back within 24 months), B (within 60 months), C (otherwise).

So the outcome is not “fix everything” but a short list of what pays first. The analysis underpins the warehouse and hall survey and the 3D heat map.

02 / The chain

Watts, kilowatt-hours, cubic metres, forints

One item’s path from thermal image to invoice. Each step can be checked and swapped for your own data.

  1. 109 W/K

    loss coefficient

    35 m of panel joint × 2 mm gap, ≈ 3.9 Pa pressure difference

  2. 4,800 kWh heat / season

    seasonal heat loss

    W/K × 2,161 Kd × 24 × 0.9 heated-time fraction / 1,000

  3. 6,650 invoice kWh

    energy of the gas bought

    / 0.8 efficiency × 1.1076 (billing conversion)

  4. 630 m³ of gas

    gas volume

    / 10.52 invoice-kWh per m³

  5. HUF 270,000 / season

    range: HUF 210,000 – HUF 380,000

    × 40.4 Ft per invoice-kWh (32.1–56.9), 9 Oct 2026

Example Estimate Example / illustration: one item of the “medium” level 60 × 40 m warehouse. Estimate, not a guarantee; rounded to 2 significant digits.

The basis is the loss coefficient (W/K): how many watts a defect loses per kelvin of temperature difference. Seasonal energy follows from degree-days (for Nyíregyháza, from 11 seasons, matched to the building’s balance temperature), divided by the heating efficiency and converted to the energy on the gas invoice. The conversion to money uses the marginal gas price: the fixed capacity fee cannot be saved, so it is left out.

The full method, formulas and parameter sources are on the calculation method page. You can try your own numbers in the calculator.

03 / Range

Why ±30–50%, and why not one number?

The range is not modesty. It is the nature of the measurement.

A thermal camera measures surface temperature, not watts. The watts come from a model, and the model’s inputs are uncertain:

  • Gas price: low / central / high 32.1 / 40.4 / 56.9 Ft per invoice-kWh (9 Oct 2026), i.e. −20% / +41% around the central value.
  • Weather: about −17% / +18% between a mild and a cold season.
  • Efficiency: 0.72–0.88 for radiant-tube heating (central 0.80).
  • Damaged insulation: the U-value of a soaked layer is 1.5–3.5 W/m²K, about ±50% on the extra loss.
  • Gap size, pressure: ±30–50%.

Combined in quadrature these give about ±30–50% for one item. Systemic factors (gas price, weather, efficiency) do not average out across items either. The central value is roughly the median, not the lowest case.

Estimate – not a guarantee. Figures are model-based and actual values may differ.

04 / Order

A/B/C: what to fix first

The same 60 × 40 m example warehouse at the “medium” defect level: eight items, sorted by payback.

The eight findings of the medium-level example hall, sorted by payback
Prio.FindingW/KLoss / seasonFix (indicative)Payback (months)
A Wall-panel joints open (35 m × 2 mm) 110 HUF 270,000 HUF 160,000 7
B Sectional door 1: worn perimeter seals 18 HUF 43,000 HUF 90,000 25
B Sectional door 2: worn perimeter seals 18 HUF 43,000 HUF 90,000 25
B Wet roof insulation (35 m²) 75 HUF 190,000 HUF 770,000 50
C Dock 3: head curtain incomplete 9 HUF 21,000 HUF 300,000 171
C Dock 1: compressed side pads 7 HUF 16,000 HUF 300,000 223
C Dock 2: compressed side pads 7 HUF 16,000 HUF 300,000 223
C Eaves thermal bridge (45 m) 11 HUF 28,000 HUF 680,000 292
Total250HUF 620,000HUF 2,700,000

A A: pays back fast (≤ 24 months) · B B: consider (≤ 60) · C C: can wait (> 60)

Example Estimate

payback of fixing all eight items (repair only)
52 mo
Estimate Example
fixing only the “A” item: HUF 160,000 → HUF 270,000 per season
7 mo
Estimate
at the “widespread” level the “A” items (3 of 13): HUF 1,600,000 → HUF 1,700,000 per season
12 mo
Estimate

The lesson: picking out the small, fast-payback items is worth more than fixing every defect. The “C” items (dock seals, thermal bridges) look dramatic but do not pay back on energy savings, and we write that down too, not only the good news.

05 / Payback

Honest payback: with the fix, and with the survey

We compute two ways: repair only, and including the survey fee. Both matter.

Three defect levels in the example warehouse: loss, repair, payback
Defect level Findings% of heating billRepair (central)Payback, repair onlyPayback, survey + repair
Small (localised) 3 1.5% HUF 520,000 54 mo 104 mo
Medium 8 7.6% HUF 2,700,000 52 mo 61 mo
Large, widespread 13 26.6% HUF 8,900,000 39 mo 41 mo
Only “A” items, small level 1 / 3 – HUF 90,000 22 mo 140 mo
Only “A” items, medium level 1 / 8 – HUF 160,000 7 mo 29 mo
Only “A” items, large level 3 / 13 – HUF 1,600,000 12 mo 15 mo

If the hall is in good shape (“small” level) the survey fee does not pay back through gas savings: then the benefit is reassurance and early warning of later faults, which we do not put a price on. Where losses are widespread the survey fee hardly shows in the payback. All of this is an estimate for a fictional hall at October 2026 gas prices, net amounts; yours comes from the survey.

Illustrative example – not real measurement data.

06 / Limits

What it is, and what it is not

Briefly, to avoid misunderstanding.

  • An engineering analysis from a thermal-imaging survey, with estimated values. Not an energy performance certificate, not an energy audit, not an accredited test.
  • We do not guarantee savings; the outcome of a repair also depends on workmanship.
  • Repair costs are indicative bands, not quotes. A contractor’s quote is always needed.
  • The forint value depends on consumption and prices; if your tariff differs we recompute with your data.

07 / FAQ

What people ask about the analysis

What do you need from me for the calculation?
A recent gas bill (or the average price in Ft per kWh), the type of heating and an estimate of its efficiency, the indoor temperature set-point and the operating pattern (shifts, weekends, night set-back). Where something is missing we state our assumption and it appears in the report.
Why a range instead of a single number?
A single number would suggest false precision. Gas price, weather, boiler efficiency, the real conductivity of damaged insulation and the real size of a gap are all uncertain. One item’s result is therefore about ±30–50%. The report gives the range for every item, together with the assumptions.
How is this different from an energy audit?
An energy audit or certificate is carried out by professionals authorised under Hungarian law and proves compliance. Our analysis, based on an engineering thermal-imaging survey, shows where the loss is and its estimated value in forints. It is not accredited or certified and does not replace an audit. The two complement each other.
Do you guarantee savings?
No. Savings only occur if the repair is carried out and works. The survey itself saves no energy. The figures are model-based estimates, not commitments.
How do you compute the five-year payback if gas prices change?
With two scenarios: one holds today’s central price (40.4 Ft per invoice-kWh), the other follows the futures curve (40.4 / 35.8 / 27.1 Ft, then held). A futures price is not a forecast; together the two values give an upper and a lower bound, so you see what remains even if gas gets cheaper.

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