Multi-Agent Electromagnetic + Thermal Simulation — Interactive Playback Dashboard
This is not a machine learning model. Every value is computed from first-principles physics equations, updated each simulation step.
5 specialized agents each solve their physics domain and communicate via message bus:
| Rated Power | 2.0 MW |
| Generator | Direct-Drive PMSG |
| Blade Radius | 63 m |
| Hub Height | 80 m |
| Pole Pairs | 40 |
| Thermal Nodes | 9 (LPTN) |
| EM Update Rate | 100 Hz |
Data flows continuously — all values, charts, and diagrams update in sync as the simulation cycles through its time series automatically.
Temperatures update as simulation plays. C_i × dT_i/dt = Q_i + Σ(T_j - T_i)/R_ij
| Component | Temp | Limit | Margin |
|---|
| Parameter | Value |
|---|
| Parameter | Value |
|---|
Region 2 (v < 11.4 m/s): MPPT, T_ref = K_opt × ω²
Region 3 (v > 11.4 m/s): PI pitch control to limit power
Derating: Reduce torque if T_winding > 130°C
Values update dynamically as simulation plays. Each row shows the physics equation that produces the value.
Kaimal turbulence spectrum (IEC 61400-1), AR(1) temporal correlation, 1 Hz update
| Output | Value | Physics |
|---|
Cp(λ,β) parametric surface, P = ½ρAv³Cp, 10 Hz update
| Output | Value | Physics |
|---|
MPPT + PI Pitch + Thermal Derating, 100 Hz update
| Output | Value | Physics |
|---|
dq-frame PMSG + Steinmetz iron loss + thermal coupling, 100 Hz update
| Output | Value | Physics |
|---|
9-node LPTN, Forward Euler, 1 Hz update
| Output | Value | Physics |
|---|