Affinity Laws Calculator

Scale a pump duty with the affinity laws (speed or impeller trim) and size the VFD pump energy savings against a throttling valve using the head method — with static-head screening, a live H–Q canvas and the slip-heat reality check. A pumpXSolver engineering tool.

Results — updates live with the parameters

Parameters — tune, watch the chart

Reference duty — known operating point

Scaling law — speed or impeller trim

How it works

Two related questions, one geometry. Affinity scaling predicts how a pump's Q–H–BHP characteristics move when speed or impeller diameter changes. VFD energy savings applies the same laws to the classic retrofit decision: instead of throttling a valve to reduce flow, slow the pump down so its reduced curve meets the system curve exactly at the flow you need.

1 · The three affinity laws

$$\frac{Q_{2}}{Q_{1}}=\frac{N_{2}}{N_{1}} \qquad \frac{H_{2}}{H_{1}}=\left(\frac{N_{2}}{N_{1}}\right)^{2} \qquad \frac{P_{2}}{P_{1}}=\left(\frac{N_{2}}{N_{1}}\right)^{3}$$

For the same pump running at two speeds with constant specific gravity, points that are "homologous" (on the same similarity parabola through shutoff) scale with speed \(r=N_2/N_1\) as \(Q\propto r\), \(H\propto r^{2}\), \(P\propto r^{3}\). Efficiency is assumed unchanged between homologous points — a good approximation over the normal operating band, degrading only at very low speeds.

2 · Impeller trim (cut) law — and its limits

$$\frac{Q_{2}}{Q_{1}}=\frac{D_{2}}{D_{1}} \qquad \frac{H_{2}}{H_{1}}=\left(\frac{D_{2}}{D_{1}}\right)^{2} \qquad \frac{P_{2}}{P_{1}}\approx\left(\frac{D_{2}}{D_{1}}\right)^{3}$$

Trimming the impeller changes the tip speed in the same proportion, so the small-trim approximation takes the same form as the speed laws. Unlike a speed change, however, trimming also alters the blade geometry relative to the casing — efficiency is not preserved. Field and handbook experience: keep the cut below 10%; beyond it efficiency falls measurably, and above a 15% trim the approximation is unreliable — re-select a smaller pump or slow it with a VFD instead.

3 · VFD savings by the head method

Model the pump as a parabola through shutoff \((0,H_0)\) and BEP \((Q_{bep},H_{bep})\), with the usual 15–20% rise to shutoff assumed stable (\(H_0=1.2\,H_{bep}\) here), and the system as static lift plus quadratic friction calibrated so the full-speed duty sits at BEP:

$$H_{p}(Q,r)=H_{0}r^{2}-aQ^{2},\quad a=\tfrac{H_{0}-H_{bep}}{Q_{bep}^{2}} \qquad H_{sys}(Q)=H_{st}+KQ^{2},\quad K=\tfrac{H_{bep}-H_{st}}{Q_{bep}^{2}}$$

To reach target flow \(Q_t\) a valve forces the pump to stay on the full-speed curve \(H_{thr}=H_p(Q_t,1)\) and burns the surplus across the valve; a VFD lowers speed so the reduced curve passes through the system point \(H_{sys}(Q_t)\):

$$r_{VFD}=\sqrt{\frac{H_{st}+(a+K)\,Q_{t}^{2}}{H_{0}}} \qquad\text{then}\qquad P=\frac{\rho gQ_{t}H}{\eta} \;\;\Bigl[\text{US: } P(\text{hp})=\tfrac{Q\,H\cdot SG}{3960\,\eta}\Bigr]$$

Each power is evaluated with the pump efficiency at its own duty, \(\eta(q)=\eta_{bep}(2q-q^{2})\) with \(q=Q/(r\,Q_{bep})\) — throttling runs the pump back on its own curve (off BEP), the VFD stays near BEP. The annual saving is \((P_{thr}-P_{vfd})\times\) hours \(\times\) price. This head method is the main result; the simple cubic estimate below is shown only for comparison.

4 · Static head throttles the savings

In the friction-only idealization (\(H_{st}=0\)) the duty point follows the similarity parabola, so \(r\approx Q_t/Q_{bep}\) and \(\Delta P\propto(r^{3}-r)\) — the celebrated cubic saving. Real systems have static lift: the VFD must still make \(H_{st}\) at every speed, so \(r_{VFD}>Q_t/Q_{bep}\) and the saving shrinks. The higher the static share of BEP head, the more the cubic law over-promises — the standard VFD screening rule treats a static share above roughly 60% as "savings limited", above ~70–80% as usually uneconomic. This tool always shows both numbers so you can see the gap.

5 · Slip heat — why a VFD beats slip-based speed control

$$p_{loss}(x)=x^{2}-x^{3},\qquad x=\frac{N}{N_{rated}}$$

Speed control by slipping (hydraulic couplings, wound-rotor resistor control, belt sheaves) dissipates the slip as heat inside the drive train. For a cubic torque load (\(P\propto x^{3}\)) the slip loss \(p_{loss}=x^{2}-x^{3}\) peaks at \(x=2/3\) speed at \(4/27\approx\) 14.8% of rated power — burned continuously at that duty. A VFD creates no slip loss: its own conversion losses are only a few percent of rated power, which is why the affinity-law saving above survives essentially intact at the meter.

Worked example

Scaling. A pump delivers 2,000 gpm at 120 ft with BHP₁ = 60 hp. Dropping to 75% speed: \(Q_2=2000\times0.75=1500\) gpm, \(H_2=120\times0.75^{2}=67.5\) ft, \(P_2=60\times0.75^{3}=25.3\) hp — power falls to 42% of reference at unchanged efficiency. (A 0.90 trim gives the same Q–H point by the cut law, but expect some efficiency loss at a 10% cut.)

VFD vs throttling. Same pump at BEP = 2,000 gpm / 120 ft / 82%, static share 30% (Hst = 36 ft, friction 84 ft at BEP), target flow 75% (1,500 gpm), 6,000 h/yr at $0.12/kWh. Throttling: the pump rides the full-speed curve to Hthr = 130.5 ft at 77% efficiency → 64.3 hp. VFD: 82% speed meets the system curve at 83.3 ft with 81% efficiency → 38.7 hp. Saving 25.6 hp ≈ 19.1 kW → ~114,400 kWh/yr → ~$13,700/yr. The friction-only cubic estimate would claim 37.2 hp — the head method correctly trims that promise because of the 36 ft of static lift.

Engineering criteria applied