Power Factor Calculator
Report a calculator issue
Choose the problem type and tell us what went wrong.
When you need a quick power factor check, the useful number is the one you can reproduce. Circuit and field formulas are compact, but unit prefixes and the distinction between real, reactive, apparent, electric, and magnetic quantities matter. The goal is to make the equation, inputs, and result easy to sanity-check rather than hide them behind a black box.
What this calculator does
This calculator focuses on power factor from True power (P), Reactive power (Q), Apparent power (S). It is designed for quick estimation and hand-checking, with the visible fields defining the scope of the model rather than implying a larger simulation.
How to use it
Start with True power (P), Reactive power (Q), Apparent power (S), Power factor. Let the unit controls handle supported conversions instead of converting values mentally. If the page offers both inputs and derived fields, fill the quantities you know and leave result fields for the calculator.
How the calculation works
With real power P and reactive power Q, S = √(P²+Q²) and PF = P/S. With P and S, Q = √(S²−P²). With S and PF, P = S·PF. Phase angle is φ = arccos(PF).
Example
Using P = 800 W and S = 1,000 VA gives PF = 0.8. The implied reactive power is √(1000²−800²) = 600 var, and the phase angle is arccos(0.8) ≈ 36.9°.
How to interpret the result
Use the power factor as the result of the stated electromagnetic relationship. Check whether the output is linear, inverse, inverse-square, or logarithmic before judging how a change in one input should affect it.
Limitations and notes
Real electrical and magnetic systems can add parasitics, finite geometry, temperature dependence, nonlinear materials, frequency-dependent losses, tolerances, and measurement uncertainty beyond the ideal relationship shown here. The most important values to verify are True power (P), Reactive power (Q). The calculator is a compact model of the visible fields, not a replacement for measurement uncertainty, component data, governing standards, or a full numerical analysis when those are required.
Was this article helpful?
Your answer helps us improve the clarity and usefulness of our health content.