Quantify electrical noise for building controls and instrumentation quickly. Choose temperature, bandwidth, and resistance. Add noise figure and gain for system budgeting.
| Scenario | Temperature | Resistance | Bandwidth | Typical Use |
|---|---|---|---|---|
| Control loop | 27 °C | 1,000 Ω | 20,000 Hz | Signal conditioning checks |
| Long sensor cable | 40 °C | 5,000 Ω | 1,000 Hz | Low-frequency monitoring |
| Precision measurement | 20 °C | 10,000 Ω | 10 Hz | Slow trend acquisition |
Use your actual filter or measurement bandwidth for best accuracy.
Here, k is Boltzmann’s constant (1.380649×10⁻²³ J/K), T is absolute temperature in Kelvin, R is resistance in ohms, and B is bandwidth in hertz.
Thermal noise (also called Johnson–Nyquist noise) is the unavoidable electrical “hiss” produced by resistive materials whenever they are above absolute zero. On construction projects, it matters most in low‑level signal paths: sensor loops, long cable runs, instrumentation panels, building automation networks, and temporary site monitoring setups. Knowing the expected noise level helps you separate normal physics from real faults such as loose terminations, damaged shielding, moisture ingress, or incorrect filtering.
This calculator estimates the rms noise voltage created by a resistance over a chosen bandwidth. Bandwidth is often the hidden driver: when bandwidth increases, noise rises with the square root of bandwidth. That means a 100× wider measurement bandwidth produces only 10× higher rms noise, but that increase can still dominate sensitive measurements. Temperature also matters, especially in hot plant rooms, outdoor enclosures, and sun‑heated panels. Resistance is a proxy for how much thermal agitation can convert into voltage.
For system budgeting, many engineers track noise power using the matched kTB model. If you are looking at a specific resistor in a circuit, the calculator can also report the equivalent power using Vrms2/R. Optional noise figure and gain fields help you estimate how receiver stages or conditioners elevate and amplify the noise floor. The impedance field converts output noise power into an easy‑to‑interpret rms voltage estimate for a given system reference impedance.
Suppose a control loop has R = 1,000 Ω, ambient 27 °C, and an effective measurement bandwidth of 20,000 Hz. The expected input noise is about 0.576 µV rms, and matched noise power is about -130.8 dBm. These values are small, but they become relevant when signals are millivolts or lower, or when high gain is applied.
| Example | T | R | B | Estimated Vrms |
|---|---|---|---|---|
| Control loop | 27 °C | 1,000 Ω | 20,000 Hz | 0.576 µV |
| Long sensor cable | 40 °C | 5,000 Ω | 1,000 Hz | 0.294 µV |
| Slow trend channel | 20 °C | 10,000 Ω | 10 Hz | 0.013 µV |
In practice, you reduce noise impact by narrowing bandwidth with proper filtering, keeping impedances appropriate for the sensor type, ensuring correct grounding and shielding, and avoiding unnecessary gain early in the chain. When measured noise is far above the estimate, investigate cable routing near VFDs, poor bonding, corroded terminals, or incorrect input ranges. Accurate expectations make troubleshooting faster and design choices safer.
It is random voltage caused by electron motion inside resistive materials. It exists in every cable, resistor, and sensor circuit whenever temperature is above 0 K.
Noise energy spreads across frequency. A wider measurement bandwidth collects more of that noise, so rms noise increases with the square root of bandwidth.
Use the effective resistance that dominates the noise you care about: sensor element resistance, termination, or the input resistance that the signal is referenced across.
Use it for system noise budgets, receiver sensitivity checks, and link-style calculations where noise is treated as available power delivered to a matched load.
Noise figure represents extra noise added by active stages compared with an ideal device. The calculator applies it as a power multiplier to estimate a higher output noise floor.
No. Switching drives, poor shielding, ground loops, and EMI coupling can dwarf thermal noise. This tool estimates the unavoidable baseline so you can spot abnormal contributions.
Reduce bandwidth, shorten high-impedance runs, use proper shielding and bonding, separate signal and power routing, and avoid excessive gain before filtering and averaging.
Estimate thermal noise to protect sensitive building electronics today.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.