PPolySim OS
Electronics & Power Pack · Multi-Solver

Renewable Integration

Variability & storage. This multi-solver chains 3 solvers into a single guided workflow — run each step in order and carry the result forward.

Workflow steps
  1. wind-power
  2. solar-panel
  3. battery-storage
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Wind Turbine PowerLive

Controls

Presets

Wind power scales with the cube of wind speed and the square of rotor diameter — which is why turbines keep getting bigger and why a windy site is worth so much more. No turbine can extract more than 59.3% of the wind's energy (the Betz limit); real machines reach about 45%. Below cut-in and above cut-out speeds they produce nothing.

▶ Run in Python

Data Inspector

Power output1.64 MW
Rated power2.83 MW
Swept area6362 m²
% of Betz limit71%

Governing equation

Reading this result: In the ramp region power climbs with the cube of wind speed, so even a small gust adds a large jump in output.

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

Solar PV SystemLive

Controls

Presets

A solar array's output is its rated power (area × efficiency at 1000 W/m²) multiplied by the peak sun hours your location receives — the equivalent full-intensity hours per day. Tilt matters too: aiming the panels near your latitude maximizes annual yield. Real systems lose a bit more to heat, wiring, and inverters.

▶ Run in Python

Data Inspector

System rating4.0 kW
Daily energy19.2 kWh
Annual energy6996 kWh
Homes powered0.7

Governing equation

Reading this result: A 4.0 kW array in 5-sun-hour sun yields about 19.2 kWh/day — roughly 0.7 average homes.

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

3

Battery Storage

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Battery Energy StorageLive

Controls

Presets

A battery's rated capacity is not all usable: depth-of-discharge limits protect its life, and round-trip efficiency means some energy is lost charging and discharging. What actually reaches your home is capacity × depth-of-discharge × round-trip efficiency. Together with cycle life, these set backup duration and the cost per stored kilowatt-hour.

▶ Run in Python

Data Inspector

Usable capacity12.2 kWh
Delivered / cycle10.9 kWh
Backup time26.2 hr
Lifetime throughput66 MWh

Governing equation

Reading this result: Usable energy is capacity × depth-of-discharge × round-trip efficiency, so only 10.9 of 13.5 kWh (81%) reaches your home each cycle — the discharge limit removes more here than efficiency does.

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

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Frequently asked questions

What is the Renewable Integration multi-solver?
Renewable Integration is a guided workflow that chains 3 individual PolySim solvers into one end-to-end analysis, piping each result into the next step.
Is it free to use?
Yes. Every step runs entirely in your browser using real numerics — no install, no account, no cloud cost. Custom or private solver packs are available as a paid service.