PPolySim OS

Pump & System Curves

A pump and its piping negotiate a single operating point. Overlay the two curves and watch where they cross as you change the pump or the system.

Pump & System CurvesLive

Controls

Presets

A pump delivers less head as flow rises; a piping system needs more head as flow rises. They meet at exactly one operating point — the flow and head the system will actually run at. Educational tool.

▶ Run in Python

Data Inspector

Operating flow0.183 m³/s
Operating head23.3 m

Governing equation

Reading this result: Pump and system curves cross at about 0.183 m³/s and 23.3 m — the one flow-head pair where supply meets demand.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

or unlock everything with Pro →
★ Sign in to save this setup
Save your tuned setup, or drop this simulation into your own site, docs, or course page.

How it works

A pump's head falls as flow rises (H = H₀ − kQ²); a system needs more head as flow rises (H = H_static + cQ²). Their intersection is the only flow and head the installed system can actually deliver — the basis of pump selection. Educational tool.

Ask the AI about this model

The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.

More Engineering simulations

Frequently asked questions

Is this pump system curve operating point tool really free?
Yes. Pump & System Curves runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.