Solar Engineering P2 Reference 4 min read Reviewed July 8, 2026 Nimesh Katariya Nimesh Katariya

Temperature Coefficient

Temperature coefficients (β_Voc, β_Vmp, α_Isc, γ_Pmp) quantify PV module electrical response to temperature changes.

Definition

Temperature coefficients are the percentage change per °C of a PV module's electrical parameters — Voc, Vmp, Isc, Imp, and Pmax. They quantify how module performance varies between cold and hot operating conditions.

Module Temperature Coefficients (Typical 2024)

Technologyβ_Voc (%/°C)γ_Pmp (%/°C)
PERC−0.27 to −0.30−0.35 to −0.40
TOPCon−0.25 to −0.27−0.30 to −0.34
HJT−0.22 to −0.25−0.24 to −0.28

Application — Voc Correction

Voc(T) = Voc(STC) × [1 + β_Voc × (T − 25)]

At T = −10°C with β_Voc = −0.0027/°C: Voc rises ~9.5%.

Key Takeaways

  • Temperature coefficients quantify module response to cell temperature change.
  • β_Voc and γ_Pmp drive cold/hot-day calculations.
  • TOPCon and HJT have tighter (better) γ_Pmp than PERC.
  • Always temperature-correct using site-specific cold and hot temperatures.
  • Datasheet values are nominal; field variation 5–10%.

Why It Matters for Design Sign-Off

Temperature coefficients aren’t just a datasheet curiosity — they set the hard limits an electrical designer has to work inside. The β_Voc figure defines the cold-day ceiling that keeps string voltage under the inverter’s maximum input rating and the equipment’s DC voltage rating, while γ_Pmp shapes the hot-day power derating that a yield model has to account for. Both numbers ultimately feed the same string-sizing calculation that shows up on stamped drawings and permit packages, which is why a module swap late in a project (say, PERC to TOPCon) usually forces a re-check of string length rather than a simple like-for-like substitution.

Because temperature coefficients govern the cold-day and hot-day boundaries used in string sizing, they show up directly in Solar SLD software that auto-generates NEC-compliant single-line diagrams, and in the broader PV yield simulation software landscape, where γ_Pmp is one of the loss inputs behind every energy estimate. Reports that express that estimate as a confidence band — see our breakdown of P50, P90, and P99 solar yield reports — carry temperature-related uncertainty as one of their line items. For a closer look at how string voltage limits and MPPT tracking windows interact once temperature correction is applied, Qbits Energy’s guide on string voltage versus MPPT voltage in solar inverters is a useful companion read.

Frequently Asked Questions

4 commonly searched questions about Temperature Coefficient.

What is a temperature coefficient?
The fractional change in a module electrical parameter per °C of cell temperature change from STC (25°C).
Typical values?
β_Voc: −0.25 to −0.30 %/°C. β_Vmp: −0.30 to −0.40 %/°C. α_Isc: +0.04 to +0.06 %/°C. γ_Pmp: −0.30 to −0.40 %/°C.
Which technologies have lower (better) temp coefficients?
TOPCon and HJT have less negative γ_Pmp than PERC. HJT γ ≈ −0.26 %/°C vs. PERC −0.35 to −0.40 %/°C. Critical advantage in hot climates.
How does temp coefficient affect string sizing?
β_Voc determines cold-day Voc upper bound. β_Vmp determines hot-day Vmp lower bound. Tighter (less negative) coefficients allow longer strings.

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