What is the Wind Turbine Yield multi-solver?

Wind Turbine Yield is a guided workflow that chains 3 individual PolySim solvers into one end-to-end analysis, piping each result into the next step.

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.

Fluids & Energy Pack · Multi-Solver

Wind Turbine Yield

Airfoil to annual energy. This multi-solver chains 3 solvers into a single guided workflow — run each step in order and carry the result forward.

Workflow steps

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Airfoil Polar

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Airfoil Lift & DragLive

the wing's polar

Controls

Presets

Angle of attack (°)

Aspect ratio

Lift rises almost linearly with angle of attack — until the airflow separates and the wing stalls, losing lift sharply. Drag has a fixed part plus induced drag that grows with lift squared and shrinks with aspect ratio. The lift-to-drag ratio, peaking at a modest angle, is the single number that governs a wing's efficiency.

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Data Inspector

Lift coeff. CL0.53

Drag coeff. CD0.033

Lift/Drag16.0

Statusattached

Governing equation

C_{D} = C_{D 0} + \frac{C _{L}^{2}}{π A R e} = 0.020 + \frac{0.5 3 ^{2}}{π \cdot 8 \cdot 0.85} = 0.033

Reading this result: Pre-stall: lift rises almost linearly with angle of attack at 6°, well below the ~15° stall angle. Adding camber would lift the entire curve higher.

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

↓

Wind Power

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Wind Turbine PowerLive

the Betz limit

Controls

Presets

Rotor diameter (m)

Wind speed (m/s)

Power coefficient Cp

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

P = \frac{1}{2} ρ A v^{3} C_{p} = \frac{1}{2} (1.225) (6362) (10)^{3} (0.42) = 1.64 MW

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.

↓

LCOE

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Levelized Cost of EnergyLive

the true price per MWh

Controls

Presets

Capital cost ($/kW)

Capacity factor (%)

Discount rate (%)

Lifetime (years)

Fixed O&M ($/kW/yr)

LCOE spreads a power project's lifetime cost over every megawatt-hour it produces, letting wildly different technologies be compared fairly. It rewards high capacity factors and cheap capital, and punishes idle plants. The capital-recovery factor discounts future costs to today. It is the number that has made solar and wind the cheapest new power in most of the world.

▶ Run in Python

Data Inspector

LCOE$52/MWh

Per kWh5.2¢

Capacity factor25%

Governing equation

LCOE = \frac{C \cdot CRF + O}{C F \cdot 8760} \times 1000 = \frac{1200 \cdot 0.078 + 20}{2190} \times 1000 = 52 $/ MWh

Reading this result: At a 25% capacity factor the plant sits idle most of the time, so its capital is spread over few MWh — that thin denominator is what pushes LCOE up to $52/MWh.

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 Wind Turbine Yield multi-solver?: Wind Turbine Yield 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.